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Review

Paper-Based Humidity Sensors as Promising Flexible Devices, State of the Art, Part 2: Humidity-Sensor Performances

by
Ghenadii Korotcenkov
1,*,
Nikolay P. Simonenko
2,
Elizaveta P. Simonenko
2,
Victor V. Sysoev
3 and
Vladimir Brinzari
1
1
Department of Physics and Engineering, Moldova State University, MD-2009 Chisinau, Moldova
2
Kurnakov Institute of General and Inorganic Chemistry, The Russian Academy of Sciences, 31 Leninsky pr., 119991 Moscow, Russia
3
Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya str., 410054 Saratov, Russia
*
Author to whom correspondence should be addressed.
Nanomaterials 2023, 13(8), 1381; https://doi.org/10.3390/nano13081381
Submission received: 31 March 2023 / Revised: 11 April 2023 / Accepted: 14 April 2023 / Published: 16 April 2023
(This article belongs to the Section Nanoelectronics, Nanosensors and Devices)

Abstract

:
This review article covers all types of paper-based humidity sensor, such as capacitive, resistive, impedance, fiber-optic, mass-sensitive, microwave, and RFID (radio-frequency identification) humidity sensors. The parameters of these sensors and the materials involved in their research and development, such as carbon nanotubes, graphene, semiconductors, and polymers, are comprehensively detailed, with a special focus on the advantages/disadvantages from an application perspective. Numerous technological/design approaches to the optimization of the performances of the sensors are considered, along with some non-conventional approaches. The review ends with a detailed analysis of the current problems encountered in the development of paper-based humidity sensors, supported by some solutions.

1. Introduction

The first part of this literature review [1] primarily considered the advantages of the use of paper to develop cheap, flexible humidity sensors and discussed the general approaches that can be employed while fabricating paper-based (PB) humidity sensors. However, these sensors might rely on a number of measuring principles, including capacitive, resistive, and impedance values, as detection signals. They can be fully designed as paper units or involve the application of various humidity-sensitive materials, such as carbon nanotubes, graphene, and many other solid-state and polymer materials, to the paper surface. This diversity affects the requirements of the materials, technologies, and measurement methods applied in sensor design. Therefore, this topic requires special consideration, which the major aim of this part of the review. We start this part of our review with a discussion of paper-based (PB) capacitive sensors, and then analyze resistive and impedance humidity sensors. Fiber-optic, mass-sensitive, and shape-deformation sensors, as well as RFID (radio-frequency identification) sensors and PB-humidity indicators are also considered in this paper. Finally, we explore current problems observed in the research in and development of paper-based humidity sensors and suggest some approaches to solving the issues of concern. The general problems regarding the manufacturing of humidity sensors and their utilization in practice are thoroughly discussed elsewhere [2,3,4,5,6,7,8,9,10,11,12,13,14,15].

2. Capacitance-Based Humidity Sensors

A wide variety of paper types have been tested to manufacture capacitive humidity sensors. In particular, Courbat et al. [16] used p_e: smart paper type 2 from Felix Schoeller, Mraovic et al. [17] used Vimax (recycled paper) (70 g/m2), M-Liner (cardboard) (230 g/m2), and PackPro (food-packaging paper) (50 g/m2), and Andersson et al. [18] tested HP advanced photo paper and Canon PT-101 photo paper. Furthermore, Balde et al. [19] employed a coated paper (65 g/m2), Wawrzynek et al. [20] fabricated sensors using 300-µm-thick glossy coated paper from Kelly Paper, Ullah et al. [21] suggested using tissue paper for the fabrication of capacitive humidity sensors, and Gaspar et al. [22] fabricated sensors based on Lumi silk (90 g/m2) from Stora Enso (Helsinki, Finland).
Although parallel-plate (PP) capacitive sensors generally have a higher sensitivity than IDE-based capacitive sensors [23], these structures are surprisingly reported to be rather sporadic [21]. Much more often, humidity sensors are manufactured using interdigitated electrodes, which may be due to their easier availability in microelectronic laboratories and enterprises. For the manufacture of ID electrodes, various types of printing technology are commonly used. However, Rahimi et al. [24] showed that the laser-ablation method can also be used to form IDE on the paper surface, which can become a simple and scalable alternative to conventional photolithography-based processes and printing technologies. They tested two laser-processing methods for the selective removal of the conductive aluminum film (25 nm) of a metallized paper (MP) substrate, namely direct (DLA) and indirect laser ablation (ILA), for operation at wavelengths of 1.06 µm (Nd-YAG) and 10.6 µm (CO2), respectively. Metalized paper (MP) is a commodity in which a thin layer of aluminum offers both a decorative appearance and protective/controlled gas permeation. Rahimi et al. [24] found that the utilization of a Nd:YAG (1.06 µm) fiber laser, which had a greater absorption coefficient for metal (Al) films than the paper substrate, can provide more direct laser ablation (DLA), enabling higher selectivity in the removal of metallized layers, with minimal thermal effects on the porous paper substrate. This process is shown schematically in Figure 1. Unlike the ILA, the DLA did not damage the paper substrate. In addition, this process provided more uniform and straight metal lines than the CO2-based laser-ablation process.
In general, the humidity-sensing materials employed in PB sensors might be classified into two types: (i) the paper itself, and (ii) non-paper hydrophilic humidity-sensing materials, such as ceramics, polymers, carbon materials, and their composites. Below, we summarize the development status of PB humidity sensors according to the types of the materials used in their design.

2.1. Capacitive Humidity Sensors with Paper as the Sensing Material

Table 1 lists the characteristics of PB humidity sensors with paper as the sensitive material. To characterize capacitive humidity sensors, such parameters as sensory response (C/C0) and sensitivity (ΔC/ΔRH) are usually used, which describe the change in capacitance upon interaction with humid air, as well as the response time (τres) and recovery time (τrec), which characterize the kinetics of the sensory response. The response/recovery time is usually defined as the time taken to reach 90% of the final equilibrium value. A parameter such as hysteresis is also used, which characterizes the possible differences between sensor readings when measuring in conditions of increasing or decreasing humidity. The methods for measuring these parameters do not differ from the methods used in the testing of gas sensors and described in many publications, including [2,3,4,5,6,9,10].
The typical characteristics of humidity sensors employing paper-based sensing elements are shown in Figure 2. It is shown that the sensors allow the measurement of air humidity in a wide range. Furthermore, the sensors can have both linear and non-linear characteristics (see Figure 2). Analyzing the obtained results, it can be assumed that the differences are due to differences in the porosity of the paper used and geometry of the formed electrodes. Large pore sizes do not favor capillary condensation, which is usually responsible for strong capacitance growth at high humidity levels. Regarding the geometry of the contacts, Figure 2c,d show that the capacitance variations versus the relative humidity levels increasingly approach a linear form as the distance between the electrodes increases. Interestingly, when comparing the parameters of sensors made using recycled paper, cardboard, and food-packaging paper, Mraovic et al. [17] found that sensors’ parameters, such as their response and the range of measured RH, are weakly dependent on the type of paper used. The types of paper used appeared to differ little in terms of their parameters.
It was also found that the capacitive response is reversible (Figure 3a), and the sensitivity, rate of response, and flexibility of the sensors are sufficient for a variety of applications [26,28]. For example, such sensors can be utilized in measuring rates and patterns of breathing (see Figure 3b). Most humidity sensors are fairly stable for at least 7 days [21]. This may be acceptable for cheap sensors, which are not intended for long-term operation, especially in aggressive environments.
However, the analysis of published results indicates that despite the significant progress in paper-based humidity sensors, most sensors still exhibit poor repeatability, high drift (increase in base value (C0) above 10%), low sensitivity (C/C0 is typically below 200%), and slow response/recovery (from 4–16 s to several minutes) [17,22]. In addition, some of the technology routes (protocols) used in the course of producing the humidity sensors, such as tape pasting, vacuum filtration, and hand drawing, are not sufficiently scalable and reliable for mass production. Meanwhile, recent studies revealed that many of the problems associated with paper-based humidity sensors can be successfully resolved. For example, Zhang et al. [27], developed capacitive humidity sensors with a maximum change of 1480% (C/C0) at 1 kHz, and a maximum change of 411.4% at 10 kHz, using robust and precise screen- and gravure-printing technologies. The sensors were highly repeatable, exhibiting a standard deviation in sensitivity of 1.05% for three continuous runs, stable, and insensitive to mild temperature changes (15–30 °C). It is worth noting their fast response, of ca. 0.8 s, and recovery, of ca. 0.78 s. To achieve these results, Zhang et al. [27] subjected the copy paper to a treatment in 200 mM of hydrochloric acid (Sigma-Aldrich, St. Louis, MO, USA) to remove the calcium-carbonate filler. Next, the as-prepared porous paper was pressed and dried for 180 s at 115 °C. Compared with the conventional paper, the paper prepared in this manner had a larger specific surface area, which provided, according to Zhang et al. [27], remarkable sensor performance. The sensors, fabricated by Rahimi et al. [18], also showed a high degree of repeatability, with a capacitance variability of less than 4%.
However, the information given in Table 1, especially regarding the response/recovery times, should be treated with caution, because these measurements are often carried out in large measuring chambers. This means that these data may receive a substantial contribution from the dynamics of atmospheric changes in the chamber. Furthermore, high sensitivity, measured as ∆C/% RH (pF/% RH), does not always take into account the area of the capacitive sensor, which masks the real value. Frequently, to achieve high sensitivity, it is sufficient to simply enhance the sensor area.

2.2. Humidity Sensors with Solid-State Sensing Elements

Some solid-state materials, such as carbon nanotubes (CNTs), graphene oxide (GO), porous silicon (PSi), and alumina oxide (AO), have been applied to produce capacitive paper-based humidity sensors. The parameters of these sensors are listed in Table 2.
As can be seen from the results presented in Table 2, sensors designed with GO and CNTs, except for the sensors developed by Song et al. [33], are not highly sensitive to water vapor [30,32], which coincides with the results of studies performed on polymers and solid substrates [10,11]. Moreover, their parameters are noticeably inferior to those of Al2O3-based detectors [19] and PSi [35]. However, this is quite understandable because the nanoporous structures of Al2O3 and PSi encourage the capillary condensation of water vapor, which has a significant effect on the material capacitance (or dielectric permittivity) compared to the adsorption of H2O molecules on the surfaces of GO and CNTs only. Regarding the sensors developed by Song et al. [33], high sensitivity was achieved by optimizing the IDE structure and choosing the correct paper substrate.
Recently, a remarkably high sensitivity to humidity was reported for sensors based on GO/CNC composites; the data are displayed in Figure 4 [34]. In this case, the inclusion of cellulose nanocrystals (CNCs) in the composites, which had pronounced hydrophilic properties, produced highly adsorbent H2O molecules. In addition, CNCs have large specific surface areas and high mechanical strength, which are important for sensing units. Cellulose nanocrystals are mainly derived from naturally occurring cellulose fibers by removing amorphous segments through strong-acid hydrolysis. In the study, to form a GO/CNC composite, the GO suspension was mixed with the CNC composite at the desired ratio, of 5 wt.% and 10 wt.% of CNC, followed by homogenization. Further, an electrode with an interdigital transducer (IDT) pattern was deposited on a PET substrate using a conventional lift-off process. Next, the CNC/GO solution was poured dropwise onto the patterned electrode and dried in an oven at 60 °C. It should be noted that no paper substrate was used in the manufacturing of this sensor, which distinguishes it from those considered above.
Previously, Jalkanen et al. [35] showed that porous Si nanoparticles can be suitable materials with which to design humidity sensors because (i) they have a large active surface area and (ii) their surface chemistry can be modified to accommodate a wide range of environmental and biochemical sensing applications. The sensing elements, consisting of printed ID Ag electrodes and a PSi layer, were fabricated on a coated paper substrate via a two-step process. An image of the PSi-based humidity sensor is given in Figure 5a. The PSi particles were dispersed in a suspension of toluene. A wide particle-size distribution, ca. 100–2000 nm, was found to improve the packing and adhesion of the PSi film over the paper substrate. Various ID electrodes patterned with diverse gaps, measuring 100–500 µm, were supplied to the substrate by flexography and inkjet printing. Jalkanen et al. [35,36] believe that the technology routes applied to fabricate sensors are easily scalable for mass production. The test results are shown in Figure 5a. It can be seen that the maximum sensory response was observed in the range of relative humidity of 70–95% and increased in line linearly with the increase in the water-vapor concentration. In this range of relative humidity, it was possible to detect changes in H2O content of less than 5% RH. However, it was also clear that the sensors had a limited sensitivity range because the sensory response was rather low, in the RH < 70% range. In addition, these sensors had long response and recovery times. It was also found that the sensors had significant hysteresis characteristics.
Balde et al. [19] used the opposite approach. Instead of applying a sensitive layer to the surface of the paper substrate, they formed a layer of porous aluminum directly on the paper. For this purpose, anodic oxidation of the aluminum layer deposited on the surface of coated paper (65 g/m2) was used. The ID-electrode capacitor was fabricated by an evaporation of 300-nm-thick aluminum onto the top of a thin AAO film through a Pt mask (see Figure 6).
In general, humidity sensors based on AAO are highly sensitive, as shown in Figure 7a. However, at the same time, it was found that these sensors have large hysteresis due to the capillary absorption of water into the pores. Capillary-condensed water has a much more highly developed hydrogen bond than that which appears when water molecules adsorb on a flat surface. In addition, there temporary changes occur in sensor readings during prolonged exposure to humid atmospheres (Figure 7b). Due to the specific structure of the sensitive layer, these sensors are also subject to a greater influence from the mechanical loads that occur when the substrates are bent.
It is important to note here that the observed sensory response and hysteresis in paper-based sensors using an additional coating with a humidity-sensitive material should be considered as the combined response of the paper substrate with pronounced hydrophilic properties and the sensitive material, which inhibits the adsorption/desorption of H2O molecules on the substrate [32]. In these structures, the passivation of the paper substrate prior to the deposition of additional humidity-sensitive materials may be a rational solution to improve the sensory-response kinetics. This conclusion is in good agreement with the results of studies conducted by Kafy et al. [34], who found that GO/CNC-based sensors fabricated on a PET polymer substrate performed faster than paper-based devices (see Table 2).

3. Conductometric (Resistive) Humidity Sensors

Conductometric paper-based humidity sensors are the most frequently studied sensor types. They are distinguished by their ease of manufacture and operation, as well as high sensitivity. Currently, many scientific groups are working in this area. These groups have shown that all types of humidity-sensitive material can be used to develop conductometric paper-based sensors, from paper- and carbon-based materials to solid-state materials, polymers, and various composites.

3.1. Resistive Humidity Sensors with Paper as the Sensing Material

The parameters of humidity sensors which employ a paper as a detector element are presented in Table 3. It can be observed that resistive humidity sensors are characterized using the same parameters as capacitive sensors. This is sensory response is calculated as the ratio of resistance (R0/R) or current (I/I0) to changes in humidity, the sensitivity calculated as the ratio of changes in resistance to changes in humidity (ΔR/ΔRH), and the response/recovery time determined as mentioned earlier in Section 2.1.
The research data presented in Table 3 show that the conductivity of paper is very sensitive to H2O vapors and can vary over a wide range, which makes it possible to develop highly sensitive conductometric (resistive) humidity sensors. However, the conductivity of paper normally appears to be very low, which makes the resistance of the corresponding sensors excessively high for ordinary electronic readout circuits. The conductivity begins to noticeably increase only at humidity levels above 40–50% RH [37,38]. This naturally limits the range of possible applications for these sensors. Of course, this threshold of RH is not universal for all types of paper. For example, Guder et al. [40] compared the parameters of sensors based on three types of paper: (1) Whatman 1 Chr, (2) Whatman 3MM Chr, and (3) copy paper. Both the Whatman 1 Chr and the Whatman 3MM Chr were fabricated from pure cotton-cellulose fibers, with base weights of 87 g·m−2 and 185 g·m−2, respectively. Standard carbon paper has a density of 80 g·m−2. Gooder et al. [40] found that none of the sensors employing these types of paper generated a readable current upon exposure to H2O vapors below 20% RH. The Whatman 1 Chr had the lowest sensitivity and did not give a noticeable signal below 65% RH. The Whatman 3MM Chr was significantly more sensitive than the Whatman 1 Chr and detected the humidity at RH > 30%. Gooder et al. [40] believe that the observed differences in sensitivity between the sensors made with Whatman 3MM Chr and Whatman 1 Chr materials may have been related to their density. The larger area of cellulose fibers in the Whatman 3MM Chr yielded more electrically conductive paths at a given level of relative humidity, and thus increased the sensor sensitivity. The copy paper exhibited the highest sensitivity. However, the mechanism underlying these differences is currently unknown. Nevertheless, the high sensitivity of the copy paper compared to the Whatman 3MM Chr was achieved at the cost of a 10-fold increase in sensor-power consumption. Therefore, Gooder et al. [40] concluded that it is preferable to utilize Whatman 3MM Chr paper for these sensor tasks. However, despite these recommendations, copy paper is widely considered in the research on and development of humidity sensors [37,41,44]. Some of the characteristics of the sensors developed by Duan et al. [37] are drawn in Figure 8.
According to Duane et al. [37], the conductivity of printed paper increases dramatically at RH > 40%. In the relative humidity range of 41–91.5%, the sensory response is greater than 103, making these sensors suitable for the accurate detection of H2O vapors in a given environment. As shown in Figure 8d, the estimated response/recovery times for the sensor were found to be ca. 472 s and 19 s, respectively. In comparison, the sensors reported later, in [44], had response and recovery times of about 240 and 30 s, respectively. This persistently slow response seems to be unfavorable for some specific applications, in which fast responses are required. However, an experiment performed by Duanet al. [44] ensured that a sensor quickly responded to breathing, with switching times at 1–5-s intervals due to its high sensitivity.
To expand the sensitivity range of PB humidity sensors, Wang et al. [47] suggested using a transparent and flexible cellulose/KOH composite ionic film (CKF). A cellulose/KOH composite hydrogel film was prepared by extracting a cellulose/BzMe3NOH hydrogel film in 4 wt% KOH solution for over 6 h. To prepare the cellulose/BzMe3NOH hydrogel film, the cellulose sample was dispersed in an aqueous BzMe3NOH solution at room temperature following centrifugation. The as-prepared cellulose/KOH composite hydrogel film was air-dried at room temperature overnight. The cellulose substrate was fabricated through a water-evaporation-induced dense-packing strategy. As demonstrated in Figure 9, the conductive CKF showed a fast and reversible real-time response to relative humidity (RH) in the range of 11.3–97.3% RH. The conductivity changed over 200 times and the response/recovery times were 6.0/10.8 s, which were faster than most of the other times reported in the literature. The hysteresis value was about 0.57%, which was also significantly less than the values given in the literature. In addition, CKF is insensitive to both temperature (10–0 °C) and pressure (0–120 kPa), indicating its high selectivity for humidity sensors. Furthermore, CKF-based sensors also exhibit high stability (see Figure 9b).
The PB sensor devices based on TEMPO-oxidized cellulose developed by Zhu et al. [45] demonstrated the ability to operate at lower RH values (see Figure 10a). The cellulose was obtained using the TEMPO (2,2,6,6-tetramethylpiperidine-1-oxyl radical)-mediated oxidation of softwood pulp fibers [48] followed by preparing a suspension in water under gentle stirring. The suspension was then filtered, transferred to a glass plate, and dried in an oven to obtain TEMPO-oxidized cellulose paper with a COONa-group content of about 1.8 mmol·g−1. However, these sensors also had slow responses. The response and recovery times were about 60 s and 500 s, respectively. Notably, relatively long recovery times are a common problem for sensors employing paper as the humidity-detecting element. This is due to the hydrophilic nature of cellulose, which takes longer to desorb water molecules. Moreover, regularity is frequently observed regarding the effect of paper density: the greater the density of the paper, the slower the sensory response (see Figure 10b). However, this conclusion does not seem to apply to glossy photographic paper. Despite the rather high density of paper, which reaches 135–180 g/m2, the sensors using it as a substrate are fast [43]. These sensors have also demonstrated high sensitivity to water vapors (see Table 3 and Figure 11). All photographic papers contain a photosensitive emulsion on their surfaces, consisting of silver halide salts suspended in a colloidal material, such as gelatin, resin, or polyester, which is applied to the paper [49]. However, tests of the reliability upon bending pf sensors made on glossy photographic paper showed that their surfaces are damaged even with fairly slight bending of 9% of the calculated length. Moreover, the fabrication of devices utilizing the PEDOT:PSS humidity-sensing layer failed on these substrates after long-term bending tests. Furthermore, Ag-nanoparticle-derived ink withstood 1000 bending cycles with a low resistance drift.
Andersson et al. [18] also compared two types of paper, HP advanced photo paper and Canon PT-101 Photo Paper, for application in sensors. Using FTIR, it was determined that the main content of the topcoat was a mixture of SiO2 and AlO(OH) in the HP paper and AlO(OH) in the Canon paper. Additionally, no differences in porosity were observed through the Hg-porosimetry measurements. Moreover, the HP paper was found to have significantly higher resistance in a dry environment (see Figure 12), and it was found to be very sensitive to humidity at RH >60%. In addition, the resistivity of the Canon paper changed slightly upon interaction with moisture. After analyzing the results of additional studies, Andersson et al. [18] concluded that the most likely reason for these differences in humidity-detection behavior is the difference in coating chemistry between HP paper and Canon paper. It was found that the sensors printed on Canon paper, although less sensitive to moisture, behaved very similarly to the sensors printed on HP paper following immersion in NaCl solution. This indicates that the resistivity of paper and, hence, its sensitivity to humidity, is determined not only by the properties of the paper itself but also by the chemical composition of its coating. For example, it was observed that coatings containing silicon dioxide, in the case of HP paper, contribute to better sensory performance compared to coatings containing only alumina (Canon paper) [50].
It was also been found [37] that the distances between electrodes play an important role in the responses of paper-based resistive humidity sensors. Duan et al. [37] tested sensors with three different electrode spacings in a range of 0.5–2 mm range (see Figure 13). They found that the sensor response (R/R0) of the humidity sensor gradually reduced as the distance between the electrodes increased. This effect was also observed by Zhao et al. [51]. According to Zhang et al. [52], the adsorption of H2O molecules on paper surfaces creates a discontinuous layer when the gap between two electrodes is excessively large, breaking the percolation conduction channel even at high relative humidity values, which contributes to reductions in sensory response.
With regard to the bendability of resistive humidity sensors on paper, tests carried by Duan et al. [37] suggested that the real-time sensor current has no obvious changes during the bending process. After changing the number of bends from 0 to 200, at a bending angle of 60°, the response and recovery times, as well the responses of the sensors, changed little. This means that paper-based sensors have suitable anti-mechanical flexibility. The wiry geometry of cellulose fibers is highly resistant to stress, and the deformation process causes little or no lateral cracking due to the small diameter of the fibers [53]. Thus, bending does not limit the performances of resistive-type PB humidity sensors. Mansouri et al. [46] also found that bending does not greatly affect the performances of PB sensors. Figure 13 shows the percentage change in the resistance of the sensor when it was bent at 40% RH. The resistance of the sensor increased as the bend radius decreased. It was observed that the sensor resistance changed by 3.46% when the substrate-bending radius altered from R = 4 cm to R = 2 cm. The sensor resistance changed to a much greater extent, i.e., >5%, when the bending radius was less than 2 cm.

3.2. Resistive Humidity Sensors with Carbon-Based Sensing Materials

In the manufacturing of paper-based humidity sensors using carbon-based materials as detecting elements, carbon nanotubes (CNTs or MWCNTs), graphene, graphene oxide (GO), reduced graphene (rG), and composites, including carbon and cellulose, have been applied. The parameters of these sensors are listed in Table 4.
The analysis of the presented results indicates that these sensors have (i) unique electrical and mechanical properties, (ii) high aspect ratios, and (iii) nanoscale structures due to carbon-based nanomaterials. However, they exhibit sensitivity that is significantly inferior to those of sensors employing paper only. This difference is usually explained by the inherent hydrophobicity of carbon nanomaterials and the very high conductivity of these materials. As shown in Figure 14, the deposition of carbon-based materials, such as CNTs and graphene, on the paper surface results in a sharp drop in the sheet resistance. Another disadvantage of CNTs and graphene is their tendency to agglomerate due to strong van der Waals forces between CNTs or graphene in aqueous solutions [56].
Studies have shown that the characteristics of conductometric humidity sensors, as well as capacitive humidity sensors, depend on the paper used. Beniwal et al. [63] compared the performances of screen-printed graphene–carbon-based humidity sensors fabricated on substrates such as glossy photo paper (150 gsm), matt-sided photopaper (240 gsm), and sylvicta (220 gsm), which is a translucent, functional-barrier paper. They found that all types of paper can be used to develop humidity sensors. However, the sensors printed on matt paper and sylvicta substrates were excessively slow compared to glossy-paper sensors (Figure 15a). Slow response/recovery times maybe suitable for applications such as environmental monitoring or packaging, in which changes in humidity are generally not particularly fast and tend to be gradual [36]. However, they are not desirable for applications such as respiration-rate monitoring, in which short response/recovery times are crucial to easily distinguish between breathing-out/in cycles. This is why, for applications in which fast responses are required, glossy-paper-based sensors are preferable. The functional properties of glossy paper are provided by a special coating, a mixture of materials or polymers, which prevents the penetration of water vapor into the substrate. Furthermore, Beniwal et al. [63] showed that excessive sensing-layer thickness resulted in a marked increase in response and recovery times (Figure 15b).
Recently, many efforts have been undertaken to improve the sensitivity of carbon-based humidity sensors. In particular, treating CNTs with a mixture of acids, such as nitric and sulfuric acids, oxidization, or plasma processing to increase their hydrophilicity have become universal methods for increasing the sensitivity of sensors based on CNTs to H2O vapors. The effects of the paper type and CNT-oxidation mode on sensor performance are presented in Figure 16. Experiments have shown that the characteristics of sensors made of CNTs with higher levels of oxidation yield a higher rate of response and more linear sensor responses as a function of RH changes. However, the observed improvements in sensor performance are very limited [51,60]. In addition, the weak interaction between the CNTs causes poor mechanical stability in the conductive network, which leads to the insufficient durability of paper-based sensors subjected to bending. As a result, a low-cost and easily scalable strategy for fabricating flexible carbon-based humidity sensors with high sensitivity and good durability remains a challenge.
Chu et al. [65] proposed the use of chemical treatment with ethanol to improve the detection of humidity by sensors using graphite as the sensing material. Pencil marks on paper were treated with ethanol to increase the hydrophilicity of the surface. In these studies, it was assumed that ethanol treatment reduces the amount of hydrocarbon on the surfaces of graphite particles. The results obtained by Choo et al. [65] demonstrated that ethanol-treated sensors have better responses to humidity, and that their sensitivity to humidity is directly proportional to their resistance. However, was found that the parameters of these sensors were not stable over time. The ethanol-treated sensor showed a higher level of degradation in its response (~10.5% over 14 days) than the untreated sensor (1.8%).
As a result of the research, it was found that a more effective approach to optimizing the parameters of carbon-based humidity sensors is the application of composite structures. In particular, it was found that the formation of composites based on CNTs and cellulose nanofibers (CNFs) or nanofibrillated cellulose (NFC) can improve the performances of carbon-based sensors [54,56]. For instance, the humidity sensors based on CNTs/CNF composites developed by Zhu et al. [54] had superior sensory responses to those based on CNTs [55]. The excellent affinity of the CNF compared with water vapors made it possible to increase the H2O sensitivity of the sensor, albeit to a limited degree.
A further study by Zhu et al. [55] showed that the use of conductive 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO)-oxidized cellulose fibers (TOCFs) in a CNF/CNT composite greatly improved the sensitivity of humidity sensors. The large number of hydrophilic hydroxyl groups on the surfaces of TOCFs provides more adsorption sites for water molecules and facilitates the transfer of electrons from TEMPO CNTs. The swelling of TOCFs can also increase the sensory response to humidity by destroying the conductive network of CNTs, which determines the resistance of the sensor. The characteristics of these sensors are given in Figure 17a. It can be observed that increasing the TOCF content in the detector material improves the sensory response. However, the authors found that the baseline dynamic-response curves of sensors with high concentrations of TOCFs in the CNF/CNT composite exhibited an obvious drift. The authors believe that the drift in the sensors arose from the fact that they have low recovery rate compared to their response rate. Water molecules built up on the surfaces of materials during the recovery process, resulting in the appearance of unbalanced water-adsorption and-desorption cycles in the form of a gradual increase in the current baseline. With further reductions in the contents of CNTs in the CNF/CNT composite, the conductivity of the composite sharply decreased. As a result, the current signal became excessively small, and the response characteristic of the p-type-semiconductor CNTs disappeared, indicating that the sample was an insulator.
According to Zhu et al. [54,55,56], the main advantages of CNT/CNF- and CNT/TOCF-based humidity sensors are their (i) excellent linearity, (ii) good stability, for more than 15–30 days, (iii) outstanding flexibility, with a maximum curvature of 22.2 cm−1, and (iv) folding resistance, up to at least 50 times. As shown in Figure 17b, the response of the sensor shows only a minor change before and after bending/folding, indicating that the sensors are highly resistant to such mechanical stresses. The low sensitivity of the sensors to mechanical impact, their low resistance, and the linear dependence of the sensor signal on the humidity concentration greatly facilitate the measurement process. However, these sensors cannot be considered high-speed sensors, since the estimated response/recovery times are 333/523 s, respectively. These are still relatively slow response and recovery times. When comparing the sensory-response kinetics of the CNF/CNT sensors developed by Zhu et al. [54,55] and the sensors based on CNF/GNP composites developed in [62], the latter sensors, fabricated over a plastic PEN substrate, have significantly faster response and recovery times, although these are not supported by higher sensitivity compared with the CNF/CNT-based sensors fabricated on a paper substrate. The observed response and recovery times were 17 s and 22 s, respectively. This suggests that the main reason for the slow response and recovery of CNF/CNT- and CNT/TOCF-based humidity sensors is the paper substrate, which can control the process of adsorption and desorption of water vapor due to its high resistance, but does not affect the magnitude of the sensory response. Therefore, paper might be considered as a kind of reservoir for H2O molecules. The presence of an additional sensitive layer on the surface of the paper substrate slows down this process even further. This conclusion is consistent with the observations above regarding the development of PB sensors with additional humidity-sensitive materials, according to which the simplest way to reduce the response/recovery time is to passivate the paper surface before applying the humidity-sensitive layer. This passivation layer should isolate the paper from contact with the atmosphere. Various methods can be used in this processing to supply the paper with superhydrophobic properties, such as laser ablation [67], the use of plasma-induced polymerization to create hydrophobic polymer chains on the paper surface [68], coating with organic or inorganic nanoparticles [69,70], and others [71,72].
It is interesting that humidity sensors based on graphene nanoplatelets (GNPs) have a much higher sensitivity to moisture than CNT-based sensors [61]. The characteristics of these sensors are provided in Figure 18, which demonstrates that GNP-based sensors are sensitive to air humidity in a very wide range, of 5–90% RH, while the sensory response, ΔR/R0, is linear, reaching 250% (Figure 18c), and the response and recovery times are only 9–12 s and 15–20 s, respectively. These are the best parameters reported for carbon-based humidity sensors made on paper substrates. In addition, the sensors exhibit excellent repeatability; their response does not change, even after 100 bending cycles (Figure 18d). Furthermore, it is worth noting that a significant increase in the sensory responses of GNP-based humidity sensors compared to CNT-based sensors was obtained using the vacuum-filtration method (V-CGN) in the course of sensor-fabrication process. When using the dip-coating method (D-CGN), this phenomenon was not as noticeable. Apparently, the vacuum filtration, which provides deeper penetration of GNPs into paper and better dispersion, encourages the development of an extended percolation network and the formation of a more optimal interface between GNPs and cellulose fibers. Furthermore, the dip-coating method mainly yields layers of GNPs on the surface of the substrate paper, which prevents the electronic exchange of GNPs with cellulose fibers. Regarding the fast response of humidity sensors based on GNPs using paper substrates, the authors do not explain the reason for the large difference between the kinetics of the sensory responses of humidity sensors based on GNPs and CNTs.

3.3. Paper-Based Resistive Humidity Sensors with Solid-State Sensing Materials

The comparative data from the tests of resistive humidity sensors that employ solid materials as the detector elements are brought together in Table 5. It can be seen that only a few studies have been carried out in this direction. However, these studies yielded interesting results.
It can be seen that the conductometric responses of sensors can vary over a very wide range, depending on the material used and the method of processing. Sensors using CdS [73] and ZnO [41,74] NPs have the lowest sensitivity. Moreover, ZnO NPs on the paper surface have been found to act as passivating coating, reducing the sensitivity of paper-based sensors to air humidity (see Figure 19). Moreover, this effect is most clearly pronounced when applying ZnO NPs to the surface of glossy paper (Figure 19b). The sensors without ZnO coating had a stronger response than the sensors with this layer. The reason for this behavior should be sought in the extremely high resistance of ZnO films. In this case, the resistance of the sensor and, hence, its conductometric response, is controlled not by the ZnO layer, but by the paper substrate. The ZnO layer acts only as a surface-membrane filter, preventing the penetration of the paper by H2O molecules. For the conductivity of ZnO to efficiently control the resistance of the sensors, it is necessary to significantly reduce the resistance of ZnO, which can be achieved through doping or by changing the deposition technology.
Humidity sensors using CdS NPs [73,75] are sensitive to H2O in a wider range of relative humidity, albeit with a rather low response (see Figure 20a). It was also found that the sensors are stable up to ca. 2 months, with changes in the sensor response of up to approximately 7%. In addition, the authors established that increasing the air flow in the measuring chamber, which had a volume of 1l, significantly increases the magnitude of the sensory response (Figure 20b). Unfortunately, the authors did not indicate the real resistance of the produced sensors. Therefore, the mechanisms controlling the conductivity of the sensors, as well as the resistance of the paper substrate and that of the CdS layer, are unknown. This prevents the formation of unambiguous conclusions about the processes that manage the sensory response. It can only be assumed that the observed behavior of the sensors was due to the influence of the paper used as the substrate and the design errors in the manufactured sensors. In particular, as shown in Figure 21, due to the special structure of paper, CdS nanoparticles do not form the continuous layer necessary to create a channel for the flow of charge carriers, which is determined only by the properties of the CdS NP layer. This means that the conductivity of the sensor appears to be defined by the processes occurring in the paper. Therefore, the role of CdS NPs in this process can be reduced to their effect on the porosity of the paper itself.
In principle, SiO2 NPs deposited on the surfaces of paper should not control the conductometric sensory response, since SiO2 is a good dielectric. However, Kano et al. [72] developed a very highly sensitive humidity sensor based on SiO2 NPs with R0/R~104 in the range of 10–93% RH (Figure 22a), with an acceptable response rate (Figure 22b). The reaction/recovery times were 31/7 s, respectively. However, it seems that these sensors were not fabricated on cellulose paper, but rather on a single-sided mending tape (3M, Scotch Magic Tape) based on cellulose-acetate foil. Graphite electrodes were formed on the tape using a mechanical pencil with a HB lead and a metal mask. When using photocopy paper as the substrate, the sensor response was much lower and slower; the response/recovery times were 535/87 s. The high sensitivity of the sensors developed by Kano et al. [72] appears to have been due to the influence of the integral effect of the action of water vapor and the interaction between the SiO2 NPs and the cellulose-acetate foil. In an acetate film, acetyl (CH3CO) groups are attached to long molecular chains of cellulose. Upon exposure to H2O, the molecular bonds in these acetyl groups are broken, releasing acetic acid [76]. This seems to be a reason behind the increased responses of sensors based on these substrates. The important role of SiO2 in this process is indicated by the fact that the current magnitude observed without the SiO2 NPs film is 30 times less than that with the SiO2 NPs film, at a relative humidity of 40%. Kano et al. [72] showed that the current-voltage characteristics do not deteriorate after exposure to a relative humidity of 93%. It was also found that the resistance of the sensor increases with higher numbers of bending cycles due to possible damage to the SiO2 NP film under bending. However, the sensor remained functional even after a 500-fold bending test at r = 1.3 mm.

3.4. Paper-Based Resistive Humidity Sensors with Polymer Sensing Layer

The characteristics of paper-based humidity sensors with polymer detector elements are listed in Table 6.
It can be seen that most of the studies were carried out using polyaniline (PANI) [77,82]. Among various conductive polymers (CPs), polyaniline is widely used due to its stability, ability to control particle size, and ability to form hybrid structures. Compared to CPs, such as polypyrrole, polycarbazoles, polythiophenes, and phthalocyanines, PANI is also of particular interest due to its unique ability to regulate redox conductivity, along with its relatively high achievable electrical conductivity [85,86,87]. The electrical properties of PANI can be modulated by changing its oxidation state and protonating the amino group [88]. When exposed to H2O vapors, the effective resistance of PANI films changes due to the appearance of hydrogen bonds between the water molecules and nitrogen present in the amino group [89]. In addition to PANI, PEDOT [83] and polypyrrole [84] were tested to manufacture PB humidity sensors.
Studies have shown that polymer-based humidity sensors exhibit higher sensitivity than those based on carbon-based materials (see, for comparison, Table 4 and Table 6). However, it was found that the performances of polymer-based sensors depends to a greater extent not on the type of polymer used but on the synthesis technology and morphological features of the applied material. As can be seen from the results shown in Table 6, when using the same polymer, even the parameters of the sensors differ dramatically [86]. The strength of this effect is indicated by the results of the testing of humidity sensors based on nanogranular (Ng) PANI and nanofibrous (Nf) PANI [82]. While the Nf, PANI-based, PB humidity sensors exhibited a low resistance and a bimodal response at higher humidity, of ≥55% RH, the Ng, PANI-based, PB sensors had higher resistance and gave a unimodal linear humidity response over the entire monitored range of humidity, 16–96% RH (Figure 23). This strong difference between the behaviors of the sensors was due to the fact that Nf PANI, in contrast to Ng PANI, exerts a clear polymer-swelling effect. It is known that polymer swelling adversely affects the electrical conductivity of hygroscopic polymer networks limiting the mobility of charge carriers [86].
Regarding the differences between the response and recovery times, which for some PB humidity sensors are in the range of 18–35 s, and are in the range of 1300–2800 s for others (see Table 6), the reasons behind these behaviors in various sensors are not yet known. It is impossible to explain them through the influence of the paper substrate because consistent results were not observed in the relevant studies. It can only be assumed that the slow responses were the result of incorrect measurements due to the employment of overly bulky measurement chambers, or of the influence of the low porosity and high thickness of the polymer coating [90]. For example, Ragazzini et al. [79] used a measuring chamber with a volume of 111,000 cm3 to test their sensors. When using such a volume, in which a rapid change in analyte content is difficult, slow sensor response/recovery are quite natural.
Many scholars analyzing the results of using PANI in the research on and development of humidity sensors have argued that PANI-based sensors demonstrate poor mechanical strength, reproducibility, and stability under repeated exposure to H2O [91,92]. Therefore, attempts have been made to improve the performances of PANI-based humidity sensors by designing nanocomposites such as PANI–CMC [78], PANI–CNF [79], and PANI–SLS [80]. The employment of cellulose, such as CMC and CNF, to create composites is favorable because PANI and cellulose interact strongly due to the presence of hydrogen bonds between the hydroxyl groups in cellulose and the repetitive N-functionality in polyanilines, which contributes to the modification of paper and the production of composite materials with improved properties [87]. The preparation of cellulose–PANI composites is more comprehensively described by the schematic representation in Figure 24a. Mo et al. [93] found that acids are capable of successfully activating cellulose during polymerization and improving the availability and reactivity of O–H groups. Their study showed that the mechanical properties of sensors based on PANI composites are indeed improved. According to Mo et al. [93], the composites were more stable than the pure cellulose due to the protection offered by the PANI. However, the use of PANI–CMC and PANI–CNF nanocomposites did not produce any real improvements in the functional parameters of the humidity sensors. For instance, the effect of exposure to air on the resistance of the sensors based on PANI–CMC composites is displayed in Figure 24b. The resistance of the sensors continuously decreased from ca. 32 MΩ to ca. 10 MΩ as the relative humidity increased in the range of 5–90% [78]. These sensors were stable for over 60 days.
Furthermore, PB humidity sensors using a PANI–SLS composite demonstrated improved sensor performance (Figure 25a): the PANI/SLS-based sensors were more sensitive and faster. For comparison, in the case of the pristine PANI, the sensor response, ΔR/R, was 70%, while it increased up to 459% and 588%, with the sensors based on the PANI–SLS (0.125) and the PANI–SLS (0.25), respectively. Mahlknecht et al. [80] showed that an anionic surfactant, such as SLS, is able to control the morphology, electrical properties, and crystallinity of PANI, which can be useful for the operation of humidity sensors. In particular, it was found that PANI treated with SLS surfactants encourages the formation of PANI nanorods, whose diameters are smaller than those of pure PANI nanorods. In addition, the electrical conductivity of PANI–SLS nanorods increased by a factor of three with the addition of SLS. The presence of SLS also prevents the thermal degradation of PANI nanorods. The PANI–SLS-coated paper-based humidity sensor also exhibited excellent repeatability and resistance to multiple bending. These are important results for flexible sensors.
Given the excellent mechanical stability of the PPy structure, attempts have been undertaken to use PPy in flexible humidity sensors. Santiago et al. [84] showed that the use of PPy, subject to a special chemical modification to remove excess chloride ions upon a controlled washing step in water, can significantly improve sensory responses to changes in air humidity. A typical transient resistance of a PPy-based sensor under varying levels of humidity is shown in Figure 25b. The PPy was in situ polymerized on the surface of porous filter paper. The performance of the polypropylene-based humidity sensors was very stable under mechanical-stress testing, withstanding over 600 bending cycles with a loss of sensor response of about 5%. According to the authors, the sensor responses of PPy-based devices are controlled by the swelling effect.
Yuan et al. [83] found that PEDOT:PVMA-based humidity sensors are also promising candidates for use in various applications. The PVMA was used as a soft template to achieve the oxidative polymerization of the PEDOT. Simultaneously, the PVMA acted as a PEDOT dopant, encouraging the aqueous dispersion of PEDOT:PVMA. The cross-linked PEDOT:PVMA films were transferred onto a paper substrate by using inkjet printing. The developed sensors were fast and sensitive to changes in humidity over a wide range (Figure 26a). In addition, the parameters of the sensors had acceptable stability (Figure 26b). The sensory response did not change dramatically under normal relative-humidity conditions for at least 60 days. Their performance was also not strongly affected by substrate bending. The functional characteristics were retained even after 100–200 bending cycles (Figure 26c). All of these results were achieved by employing PVMA photo-dimerism. The photo-dimerization of PVMA via the creation of dimers through a photochemical reaction made it possible to transform the cross-linked film into a stable and highly flexible layer. As shown in Figure 26d, the resistance of the photo-dimerized sensors was stable in the range of 3–8 MΩ under all the bending angles applied, while the resistance of the sensors without photo-dimerization sharply increased to 54 MΩ, under the same conditions. The authors suggested that the photo-dimerization of PVMA upon irradiation with UV light at a wavelength of 365 nm transformed the cross-linked structure, making the conductive films significantly denser.

4. Impedance Paper-Based Humidity Sensors

Despite the relatively complex process through which impedance-based sensors are measured, they still detect humidity efficiently. As indicated above, impedance is conventionally measured in the 100-Hz–1-MHz range using an impedance analyzer. There are currently several reports on the development of such impedance-based PB humidity sensors. Their major functional parameters are given in Table 7.
When developing impedance-based humidity sensors, conductive polymers, such as PEDOT:PSS and PANI [89], as well as poly(ionic liquids) (PIL) [96], were used as a humidity-sensitive materials. Poly(ionic liquids) are polyelectrolytes that include cations or anions in each repeating monomer unit of the polymer backbone. Polymerized PILs inherit high ionic conductivity from ionic liquids and good mechanical stability from polymers. Polymers are rather easily applied to paper surfaces by inkjet printing. To prepare the ink, the polymer in ethylene glycol and ultrapure water are employed as a solution. The PIL layer is formed on the paper substrate by drop casting, followed by UV irradiation, with further washing in methanol to remove unreacted monomer residuals.
From the data presented in Table 7, it can be seen that the PEDOT:PSS film printed on paper showed the smallest variation in impedance, with a change in relative humidity from 16% to 90%, less than one order of magnitude. Additionally, PANI-based humidity sensors have the highest sensitivity [89]. Studies show that the presence of water stimulates the protonation of nitrogen atoms in PANI. This effect leads to the appearance of stabilized polycations between the π-delocalization along the polymer chain and increases in the electrical conductivity in the polymer [102]. However, the maximum sensitivity of the sensors is observed at a relative humidity 16–45% and, with further increases in air humidity, the sensitivity drops significantly. Gomez et al. [77] also developed an impedance sensor using PANI. The PANI was applied by inkjet printing on bond and photographic paper. A typical view of the Cole–Cole plots for these sensors is presented in Figure 23a. The Cole–Cole diagrams obtained for the doped PANI on the bond paper showed a characteristic shape with a stretched semi-circle (at high frequencies) followed by a linear region at low frequencies, attributable to the Warburg impedance and other intrinsic mechanisms of conductivity in the PANI, which was used as a porous medium. The experiment showed that bond paper absorbs PANI better photographic paper and provides a more uniform distribution of the PANI over its surface. Unlike the sensors developed by Morais et al. [89], the sensors developed by Gomes et al. [77] exhibited the same sensitivity to H2O vapors in the entire range of relative humidity from 10% to 90%. However, their sensitivity was low. The reason for this strong difference between the parameters of the sensors based on PANI was not clarified.
In this regard, PIL-based sensors behave favorably compared with the sensors considered above because they have a high sensitivity over the entire range of relative humidity, 10–95%. For these PB humidity sensors, the impedance vs. frequency curves are shown in Figure 27b, while Table 8 summarizes the effect of the amount of PIL applied to the paper surface on the sensors’ functional performance. It can be observed that the introduction of fPIL causes the sensors to become more sensitive. In addition, the response rate increases with the higher PIL content. The hysteresis is also reduced with a moderate introduction of PIL. However, increases in hydrophilicity always lead to complications in the desorption process. As a result, the recovery time increases after PIL loading, and the hysteresis becomes larger when the PIL content exceeds 24 wt.%. Taking these regularities into account, Zhao et al. [96] decided that humidity sensors have optimal functional parameters when the PIL content corresponds to 15–24 wt.%. These sensors exhibit the best linearity in terms of the RH–impedance modulus, minimum hysteresis, and acceptable responses to variations in humidity.
As a sensitive material [97,98], or as a component of a composite [95,100], paper can be also employed in impedance humidity sensors. However, it was found that almost all paper-only sensors become sensitive to H2O when the relative humidity is higher than 50–60%. Sensors based on ZnO/CNF composites had approximately the same characteristics [100]. Zinc-oxide nanocrystals were grown on cellulose fibers with a simple one-pot aqueous chemical-bath deposition technique using hexamethylenetetramine (HMT) as the surfactant. Despite the high stability of the parameters, the maximum sensitivity was observed only at RH > 80%. In addition, the sensors were very highly resistive, with Ro > 108 Ω. In this regard, PANI–CMC composites seem to be more attractive for the development of humidity sensors. According to Kotresh et al. [95], sensors based on PANI–CMC composites were sensitive in the relative humidity range of 25–75%. In addition, these sensors were quite fast. However, these sensors were fabricated on a glass substrate.
Some research studies found that it is necessary to functionalize paper to expand a range of relative humidity levels and improve the sensitivity of humidity sensors. In particular, to improve paper’s conductivity, the treatment of paper with a solution of NaCl [97] or NaOH [98] was found to be highly powerful. According to Farrell et al. [103], when alkali and cellulose are mixed in solution to form reactive EPTAC (epoxy propyl trimethylammonium chloride), trimethyl amine is emitted. Subsequently, EPTAC reacts with hydroxyl groups on the cotton fiber under alkaline conditions to form cation-contained cotton. In the presence of alkali, cellulose converts to EPTAC, together with the partial dissociation of the cellulose hydroxyl group [104]. For these purposes, spray coating, dip coating [97], and immersion in solution [98] can be applied. The influence of the reaction ratio between the NaOH solution and the paper on the impedance characteristics of the sensors upon exposure to varying levels of humidity is shown in Figure 28. It can be seen that treatment with the EPTAC solution is similar to the effect of PIL. On one hand, there is an increase in sensory response and a decrease in the response time and, on the other hand, an increase in the recovery time is observable. Due to the characteristics of EPTAC, the free movement of Cl ions can encourage the electrical conductivity of materials under wet conditions. It was also found that the developed paper-based humidity sensors have good flexibility. The sensor output remained stable under bending conditions, with a slight decrease in sensitivity. As the degree of bend increased, indicated by the reduction in the radius of the curvature, the sensor impedance tended to grow, but this variation was rather minor. Rivadeneyra et al. [99] found that the TEMPO oxidation of cellulose nanofibers (CNF) also contributed to the expansion of the sensitivity range of humidity sensors. They reported that the sensors they developed had high sensitivity over the entire range of relative humidity, from 20 to 85%. According to Rivadeneyra et al. [99], the sensors were also fast (see Table 7).

5. Mass-Sensitive, Microwave and Fiber-Optic Paper-Based Humidity Sensors

In addition to the humidity sensors discussed above, other types of sensor have been developed based on paper, such as mass-sensitive, microwave, and fiber-optic sensors [105]. The principles of their operation are described in detail in [9,10]. It should be noted that little research has been carried out on the development of the PB humidity sensors listed above.

5.1. Mass-Sensitive PB Humidity Sensors

Mass-sensitive sensors include quartz-crystal microbalance (QCM) sensors, surface acoustic wave (SAW) sensors, capacitive micromachined ultrasonic transducers (CMUTs), and microcantilevers. Mass-sensitive moisture detection is mainly based on the piezoelectric effect, which converts the change in mass of a humidity-sensitive material after the absorption of water molecules into a change in frequency. The sensitivity of these sensors largely depends on the properties of the paper used as a humidity sensitive material, namely the density of the paper and its adsorption capacity. Most studies consider cellulose nanocrystals (CNC) as humidity-sensitive materials in QCM devices [106,107,108,109]. In particular, the sensors fabricated by Yao et al. [106] also fabricated a quartz-microbalance humidity sensor using a polydopamine (PDA)/CNC/graphene-oxide nanocomposite. Some characteristics of these sensors are shown in Figure 29. The results of the testing of these sensors showed that adding PDA@CNC to a graphene-oxide film can significantly improve the sensitivity of the sensor while maintaining high stability over the entire humidity range. The analysis of the functional characteristics observed in this CNC-based QCM sensor shows that its sensitivity to water vapors can be effectively improved by employing the asymmetric-electrode structure. In addition, the sensor with asymmetric electrodes displayed reduced hysteresis, faster response and recovery, and excellent long-term stability. Wang et al. [110] developed a SAW humidity sensor with bacterial cellulose (BC) as the sensing material. Bacterial cellulose is an environmentally friendly material that is moisture-sensitive, inexpensive and, in particular, commercially available. In addition, the bacterial cellulose film is a highly porous network of ultra-thin interlaced fibers, and its surface contains a large amount of hydroxyl groups, which greatly improves the absorption capacity of the humidity-sensitive layer. Bacterial cellulose was applied to the surface of SAW using the spin-coating method. Wang et al. [110] reported that SAW PB sensors had high sensitivity and fast responses and recovery. Zheng et al. [111] used a nitriding-oxidation wafer-bonding process to fabricate a capacitive CMUT humidity sensor. In this work, a CNC layer was spin-coated onto the top layer of a vibrator as a humidity-sensitive layer. The experimental results showed that the CMUT humidity sensor had high sensitivity, fast recovery, low hysteresis, good reproducibility, and long-term stability. Zheng et al. [111] believe that the CMUT can be a high-performance miniature sensor platform for humidity monitoring. The main parameters of mass-sensitive PB humidity sensors are shown in Table 9.

5.2. Fiber-Optic PB Humidity Sensors

In principle, fiber-optic humidity sensors should be of increased interest because fiber sensors are cheaper than conventional electrical sensors and better suited to use in hazardous or explosive environments, or when immunity to electromagnetic interference is required [113]. They also offer the ability to multiplex a large variety of sensors (temperature, displacement, pressure, pH, humidity, etc.) onto the same optical fiber, reducing the need for multiple cables/interfaces, as in traditional electronic and electrical-monitoring systems. The sensitive mechanism of fiber-optic sensors is mainly based on changing the parameters of the light beam. In particular, the optical properties, intensity, wavelength, frequency, etc., of the light of fiber-optic sensors are modified when H2O vapors interact with a detector material deposited on the surface of the optical fiber [113]. Fiber-optic PB humidity sensors are usually fabricated by coating the surface of an optical fiber with humidity-sensitive materials, such as hydroxyethyl cellulose (HEC) [114,115], carboxymethyl cellulose (CMC) [116], liquid crystalline cellulose (LC) [117], or cellulose-based composites [118] (see Table 10). The detection mechanism is based on expanding the volume of cellulose coated on the optical-fiber surface following water absorption, which leads, in turn, to a shift in the reflection spectrum (Figure 30a) or to a change in the transmitted-light intensity (see Figure 30b). The device’s performance largely depends on the thickness of the paper-based film, the swelling effect, and the water-vapor-diffusion velocity in the film. The content of the composites also has a large impact on the sensory response. For example, according to Li et al. [118], the humidity response was significantly improved after increasing the rational amount of CNTs in a CMC/CNT composite. The response increased by approximately 35%. Due to the low thickness of the detector layer, the sensors were very fast. They were also characterized by stable parameters. The performances of PB fiber-optic-humidity sensors are listed in Table 10.

5.3. Microwave PB Humidity Sensors

Microwave humidity sensing is based on the detection of dielectric changes with fluctuations in humidity caused by water absorption and increases in the volume of humidity-sensitive materials [121]. Microwave sensors are virtually unaffected by changes in conductivity and can detect internal moisture without damaging the outer packaging. Moisture detection is made possible by shifting the resonant frequency of the device (see Figure 31). This means that achieving a maximum sensory response requires the use of paper with maximum thickness, capable of adsorbing sufficient moisture to significantly change the dielectric constant. For example, Eyebe et al. [121,122] fabricated a series of microwave humidity sensors using CNFs (see Table 11). Tanguy et al. [123] developed a microwave resonator (OMR) humidity sensor using a conductive PEDOT:PSS polymer deposited on a flexible film of cellulose nanofibrils (CNFs). The CNF substrate served as a functional sensor component to give the microwave resonator superior humidity-sensing performance. The sensor operated on the basis of the simultaneous adsorption of moisture by the CNF film and the interaction of water molecules with the PEDOT:PSS.

6. RFID (Radio-Frequency Identification) Humidity Sensor

Radio-frequency identification (RFID) technologies have been applied in many industries to automatically identify and track objects such as packaged goods during storage, handling, and transport in the supply chain. Radio-frequency identification with an additional sensory function (called RFID sensor tags) allow the improved monitoring of goods with more diverse and newer technologies. Therefore, they have received significant attention in both industry and academia [124,125]. One example of the application of a RFID sensor tag is smart packaging [126]. The RFID sensor tag equips traditional packaging with smart features to inform customers as to products’ status, or the environmental conditions under which products are stored [127,128]. These technologies require a variety of cheap sensors, including humidity sensors. Therefore, it is justifiable to aim developments at the fabrication of cheap paper-based RFID humidity sensors [129,130]. In these devices, the humidity sensor can be built into the antenna array, and its detuning can be matched to the appearance of H2O vapors by a powerless RFID method [131,132].
The structures and principles of operation of RFID sensor tags, as well as the method used to perform humidity measurements, are discussed in detail elsewhere [132]. The most popular units are passive RFID sensor tags, primarily because they do not need a power supply. This means that sensor tags do not need maintenance procedures and can be permanently embedded in walls, ceilings, or floors for a long-term monitoring even for several years. At the beginning of communication, the reader sends a continuous unmodulated carrier wave, which is received by the tag’s antenna (see Figure 32a). The incoming signal is routed to the IC chip, which uses its internal rectifier to convert the weak AC to DC. The internal voltage doubles are then used to charge the capacitor to act as energy storage, allowing short periods of operation without the presence of a carrier wave. Once the capacitor is charged to a sufficiently high DC voltage, the sensor tag is activated and becomes ready to receive commands from the reader. The reader receives information about the state of the object and the ambient air humidity through a change in the frequency of the LC resonator, which includes a humidity sensor (see Figure 32b).
As sensitive elements in RFID sensor tags, electric LC-resonators are ordinarily employed; a typical structure of these resonators is shown in Figure 33. There are several examples of research on and development of RFID sensor tags with planar LC resonators for humidity detection. In particular, Feng et al. [133] applied inkjet-printing technology to fabricate a resonator on a paper substrate, using Ag NP-based ink. The authors compared three types of paper substrate: inorganic coated inkjet paper (PEL Nano P60, Printed Electronics Ltd., Cambridge, UK), commercial inkjet photo paper (Ultra premium, Kodak), and commercial UV-coated packaging paper (Korsnäs AB). The tests showed that the paper-based LC resonators had excellent sensitivity, of ca. 400 kHz/% RH, to variation in air humidity, with an acceptable response time, τ, in the range of 10–15 min. In this case, the sample examined on the packaging paper exhibited the highest sensitivity of the three sensor types at a humidity, below 70% RH. At a relative humidity greater than 70%, the sensory response was significantly lower. Feng et al. [133] believe that using a thinner paper substrate or a higher operating temperature can facilitate the desorption of H2O molecules more efficiently if a faster response is required.
Another variation of the paper-based resistive humidity sensors developed by Quddious et al. [135] for use in in RFID sensor tags presented in Figure 34. The printing of ID electrodes on a paper substrate provided baseline conductivity, subject to humidity changes. Due to the porous nature of the substrate, the variation in the relative humidity from 18% to 88% reduced the resistance of the PB sensor from a few MOhms to kOhms. The response time was about 3 min. Passive wireless sensing was carried out using an antenna, and the internal circuit responded to changes in sensor conductivity in response to the H2O input, while the external dipole arm was applied for chipless identification.
The parameters of other RFID humidity-sensor tags are listed in Table 12. It can be seen that the sensors developed by Xie et al. [136] have lower sensitivity but a higher quality factor. To fabricate their RFID humidity sensor, Xie et al. [136] used A4 printing paper (70 g/cm2, 88 μm thick) and Ag-based ID electrodes. The area of the designed sensor was 2 × 2 cm2. The width and the spacing of the ID electrodes were both 300 μm. A copper coil, 2 cm in diameter, was used as a readout antenna.

7. PB Humidity Sensors Based on Shape Deformation and Luminescence

In the literature, there are further examples of the design of humidity sensors beyond those reviewed above. Here, we survey some of the more remarkable cases, which are worthy of discussion.

7.1. Shape-Deformation-Based PB Humidity Sensors

One of the non-traditional approaches to the development of PB humidity sensors is the use of shape deformation under the influence of moisture [44,138]. The sensing elements of these sensors normally consist of a thin moisture-sensitive film. The key feature is that the two sides of the humidity-sensitive film have different coefficients of expansion when in contact with moisture or water-vapor absorption, which leads to the bending of the film as a result of its asymmetric expansion under varying levels of humidity [139]. Indeed, typical films with symmetrical structures cannot bend due to the symmetrical changes in their volume under the influence of humidity. Therefore, the humidity sensors with the highest shape deformation have a sensing element consisting of two or more layers of materials with different water-absorption characteristics [140]. However, bending is still possible, even for paper that has the same properties on both sides, if only one side is exposed to the flow of humid air. This option was considered by Wang et al. [141]. They observed that reversible, moisture-controlled bending was possible in an 8-µm-thick nano-fibrillated cellulose (NFS) film; the degree of bending depended on the moisture difference on both sides of the film. Stationary bending was achieved in fractions of a minute. After removing the source of moisture, the film returned to its original position. Wang et al. [141] found that bending is very sensitive to moisture, as shown by the observation that the film bent even when a human hand approached the film at a distance of a few millimeters. The curvature of the bend decreased with the increase in the film thickness. This explains the fact that the effect was not observed in significantly thicker conventional paper sheets.
Research has shown that this simple shape-deformation-based humidity-detection method can be implemented using inexpensive paper materials. Various approaches can be used for this purpose. For example, one side of a paper-based cantilever may be coated with a moisture-swellable polymer [138]. The mechanical deflection of the cantilever, caused by the swelling of the polymer, creates a tilt angle characteristic of a certain level of air humidity. One side of the paper can also be treated with cellulose stearoyl ether to make it hydrophobic [142,143]. This prevents the adsorption of water vapor on that side of the paper and causes the cantilever to bend in proportion to the level of humidity. Water adsorption on the hydrophilic side expands the cellulose, while the hydrophobic side changes little, which leads to directional deformation, causing the cantilever to bend. A GO/ethyl cellulose (EC) actuator also responded to changes in air humidity by bending and, therefore, can also be used as an actuator to fabricate shape-deformation humidity sensors [144]. In addition, it was reported that an actuator for a shape-deformation humidity sensor can be fabricated by applying CNC and polyethylene glycol diacrylate (PEGDA) to both sides of a polyamide (PI) film [145]. Cantilever bending in a humid atmosphere can be associated with varying degrees of moisture absorption and expansion of CNC and PEGDA on both sides of a PI film. Li et al. [146] developed a shape-deformation humidity sensor with an ultra-fast response using a cellulose nanofiber (CNF)/graphene oxide (GO) composite film with an asymmetric pattern. Composite CNF/GO films were produced by vacuum filtration followed by surface imprinting. The results showed that the composite films had excellent linear humidity responses and cyclic stability over a range of 25 to 85% RH (see Figure 35). The curvature of the film changed from 0.012 cm−1 to 0.260 cm−1 when the relative humidity changed from 25% to 85%, and the response time was only 3–5 s. The excellent humidity response was due to the addition of GO, which actively interacted with the water, increasing the flexibility and sensitivity of the composite films to moisture.
Zhou et al. [147] developed moisture-controlled actuators based on carbon nanotube (CNT)-coated paper and a biaxially oriented polypropylene (BOPP) composite. The CNT-paper composite/BOPP actuator exhibited a strong change in curvature with changes in humidity (the average curvature was 1.2 cm−1). The thickness of the CNT-paper/BOPP composite film was 76 μm. The CNT-paper/BOPP actuator was manufactured at 60% RH and, therefore, the actuator was not bent at this humidity. When the relative humidity decreased to 14%, the actuator bent towards the CNT-paper. The curvature rapidly enlarged in the first 60 s. When the relative humidity increased to 60%, the CNT-paper/BOPP drive returned to its initial flat state. In addition, the relative humidity continued to enhance rapidly in the first 60 s. Cao et al. [148] showed that a hierarchical gradient structure based on natural bamboo, MXene (Ti3C2Tx) and polydopamine (PDA) (G-MXCP) is also sensitive to moisture. To form this structure, a layer-by-layer assembly method was employed, which was based on a vacuum-filtration process. Cao et al. [148] found that the ultra-high tensile strength, the modulus of elasticity, and the superior impact toughness of the G-MXCP nanocomposite, resulting from the mesoscale gradient structure and strong hydrogen-bond interaction, imparted to the G-MXCP actuator high levels of the desired mechanical reliability compared to most adhesive bilayer structural materials. Tests have shown that the manufactured G-MXCP film exhibits excellent mechanical properties, allowing it to be used in a variety of hygroscopic-activation applications. Importantly, the G-MXCP film, with its dense laminar structure, showed no cracks or interlaminar slippage, even after more than 100,000 bending cycles.
An interesting approach to the development of a humidity sensor was proposed by Wu et al. [149]. They abandoned the use of bilayer films. In their humidity sensor, the authors took films based on cellulose nanopaper (CNP), which was derived, by using various methods, from cellulose nanofibers (CNFs). All the CNP samples were completely double-folded at room temperature and then exposed to humidity. An indicator of the moisture level was the angle between the two sides of the paper. The results of the testing of these devices are shown in Figure 36. The published data indicate that the original shape of the modified CNP after folding immediately responded to water (<3 s) and humidity (<10 min). Similar to other sensors, the shape changes were linked to the swelling effect, which is enhanced in samples modified with chitosan (CS). It was also shown that the introduction of CS on cellulose nanopaper can act as a bonder and strengthening agent to overcome the defects of CNP, thus increasing significantly the dry strength and, in particular, the wet strength, as well as the folding resistance of the final CNP.
It is worth noting that the bending of sensors that are optimally designed is reversible and directional, and allows cyclicity. In addition, the bending of the cantilever can be controlled by the thickness of the films applied in the sensor. In very thick films, bending is not observed. It is clear that such sensors are not very accurate. However, it is an extremely simple method that allows the monitoring of humidity without external equipment or interface electronics. Thus, with the help of these devices, it is possible to control H2O levels with the naked eye. An example of the implementation of these sensors is shown in Figure 37. This device was developed for the detection of volatile organic compounds [138], but can also be used to determine air humidity.

7.2. Electroluminescent Devices as PB Humidity Sensors

Another unusual approach to developing paper-based humidity sensors was proposed by He et al. [150]. They used the effect of humidity on the luminescent properties of ZnS/Cu [151], which is an II–VI compound with unique photoelectronic properties. To manufacture PB humidity sensors, ZnS/Cu phosphor microparticles, with radii of 5–7 μm, were used in several stages (see Figure 38). In the first stage, a thin-film nickel electrode was prepared on one side of the filter paper by using the electroless plating method. Next, a mixture of ZnS:Cu powder and PB glue in a weight ratio of 2:1 was applied to this substrate by using a spin-coating process. The layer was subjected to heat treatment at 120 °C for 30 min. Finally, an Ag NW electrode was applied to the active phosphor layer, followed by annealing at 120 °C for 5 min.
The functional sensing characteristics of the devices were measured by applying an AC voltage. They are presented in Figure 39. Figure 39b shows the luminescence spectra of an electroluminescent device operating at various humidity levels, while Figure 39a gives the time-dependent properties of the AC current at various levels of relative humidity. All of these results indicate that humidity affects both the luminescent and electrical properties of sensors, and that they can be used as indicators of air humidity. However, He et al. [150] concluded that luminescence intensity is very difficult to calibrate and use in the fabrication of humidity sensors. A change in the glow color could make it possible to visually depict the level of humidity. However, unfortunately, changes in air humidity do not affect the color of the glow, as shown in Figure 39a. Studies have also shown that the number of side effects that can affect the intensity of luminescence is excessive, which significantly limits the use of this method for controlling air humidity. On the other hand, these studies demonstrate that there is potential to develop new humidity-detection technologies that can exploit both the electrical and optical characteristics of materials at the same time.

8. PB Humidity Indicators

Moist indicators are not strictly sensors. However, the basis of these indicators is usually paper. Therefore, we decided to include a description of moisture indicators in this review article.
On some occasions, it is desirable to detect only the appearance of moisture in a sample, while the exact concentration is only of secondary importance. This situation can occur during the operation of drying chambers, in which a moisture breakthrough indicates a need for the regeneration of the dryers. In other cases, for example, it is necessary to ensure that the relative humidity does not exceed 30–35%. In many cases, humidity above 30–35% RH is of concern because the corrosion of various materials can occur at this humidity level. Studies have shown that this problem of qualitative and, sometimes, quantitative control over humidity levels can be solved by using cellulose paper impregnated with certain salt crystals that change color when wet. The use of this effect has been found to be the most economical method for detecting changes in humidity levels [152]. Experiments have shown that cobalt chloride is the most suitable material for such applications [153]. The color change is the result of chemical reactions involving cobalt chloride and water. The hydration reaction can be represented by a chemical reaction (1). Two water molecules surround each cobalt atom, forming a dehydrate. Cobalt-chloride dehydrate is purple.
CoCl2 (blue) + 2H2O → CoCl2·2H2O (purple)
As the humidity increases further, the crystal structure changes again, this time rearranging to allow four more water molecules to surround each cobalt atom, forming the hexahydrate:
CoCl2·2H2O (purple) + 4H2O → CoCl2·6H2O (pink)
Heating the hydrated forms of cobalt chloride reverses the above reactions, returning the cobalt chloride to its blue or anhydrous state. Water is “released” in these processes, which are known as dehydration reactions. Thus, this property makes it possible to create a color-changing indicator, which changes from blue to lavender and pink when the humidity increases, and becomes blue again when the humidity reduces. This characteristic has been found to allow these indicators to be reused if they are not exposed to humidity levels higher than 90% RH for 36 h or longer. With these treatments, cobalt chloride is washed out.
Generally, cellulose and cellulose-acetate substrates form the basis of moisture indicators. However, other cobalt-impregnation materials can also be used [154]. Generally, the type of substrate does not affect the color change. It was found that reducing the amount of cobalt chloride in the matrix lowers both the effects of hysteresis and the effective relative humidity range over which the salt/substrate combination can be employed to measure relative humidity. It was also found that the pre-acetylation of cellulose extends the effective range of controlled relative humidity, improves reproducibility, and reduces hysteresis effects [155]. In addition, it is possible to obtain indicators that show a distinctive color change in a narrow range of humidity by optimizing the properties of the substrate, as well as the type and concentration of the cobalt salt [154].
Paper-based moisture indicators are inexpensive, easy to store, and difficult to damage, and they can be used in many fields. The moisture indication can be performed by printing a comparative color guide next to the color-spot indication for ease of reading. Typically, a series of plots is labeled with values of relative humidity, typically in 10% increments from 10% RH to 80% RH, and various combinations of these humidity values.
It has been established that irreversible moisture indicators can be also produced based on cobalt chloride. For these purposes, ammonia salts are added to the element. In the presence of ammonia vapor, the elements lose their color reversibility. These irreversible elements, frequently referred to as maximum-humidity-indicator cards, are necessary, for instance, to show when certain levels of humidity are exceeded or the recharging/replacement of a desiccant. These indicators can mark the highest humidity level encountered by cargo during a voyage regardless of current (potentially lower) humidity levels. Maximum moisture indicator cards provide a clear and unmistakable means of determining whether goods are exposed to harmful levels of humidity during their journey.
As stated above, cobalt salts are water-soluble and, therefore, should not be in direct contact with water or steam, nor should they be exposed to extremely high humidity for extended periods of time. If these indicators are stored in a humid environment, they may become inaccurate. They are damaged by excessive moisture or condensation, which dilutes cobalt salt and results in nonuniform chemical distribution and inconsistent color response [156]. Strong solvents, such as ammonia vapors, which cause the discoloration of the color-changing dye and lead to color irreversibility, should not be present in the atmosphere.
It should be noted that other salts can be used in humidity indicators, in addition to cobalt salts. Their development primarily followed a directive issued by the European Community (EC), in 1998, which classified products containing cobalt (II) chloride from 0.01 wt.% to 1 wt.% as toxic. Studies have shown that there is a fairly large range of materials that can also change color when exposed to a moisture [157,158,159,160,161,162,163,164,165,166,167]. For example, Matushima et al. [159,160,161] presented a series of reports on reversible humidity-sensitive indicator films prepared from the combination of a dye with a sugar-based hydrogel, e.g., agarose or k-carrageenan, that undergo reversible color changes due to the appearance of an aggregated form of the dye at high humidity and its subsequent disintegration at low humidity. In these humidity indicators, the color change is due to the aggregation of the dye caused by humidity. In 2010, Mills et al. [165,166] published the details of a humidity indicator based on thiazine dye encapsulated in a urea-containing hydroxyethyl cellulose (HEC) film. In this system, urea was present at about 20 times the amount of dye. Under both dry conditions (i.e., RH = 0%) and ambient conditions (RH~60%, at 23 °C), the film was bright purple, but it turned dark blue after exposure to ambient atmosphere with a relative humidity of ≥85%. Copper(II) chloride and potassium–lead iodide can also be used in humidity indicators. Yellow lead iodide is obtained from potassium iodide and lead is obtained through the adsorption of moisture. The experiment showed that polymer–dye systems also change their color when the air humidity changes [168].
Research has shown that humidity indicators can be developed on other principles. In particular, numerous studies have been carried out on cellulose nanocrystals (CNC), with the aim of studying reflection-color changes under the influence of air humidity. Table 13 shows the results of these studies, and Figure 40 shows the correspondence between the color and the wavelength of the white light. In these studies, it was found that the effect of moisture on the colors of the films was repeatable and reversible. This effect is based on the swelling of NCs in a humid atmosphere, which causes an increase in the thickness of the sample, accompanied by a change in the color of the film.
As can be seen from Table 13, both pristine CNC and the composites based on it can be used to manufacture moisture indicators. For example, Dong et al. [181] proposed the use of a sandwiched a cellulose-derived double-network hydrogel between two layers of gold for this purpose. This sandwich structure was composed of chitosan (CHI) and a photoreactive derivative of carboxymethyl cellulose–azido (CMC-N3). This combination of polyelectrolytes, CHI and CMC, was chosen as the building material because CHI and CMC contain amino groups and carboxyl groups, respectively, which are charged in aqueous solutions and are easily chemically modified. These CHI/CMC-N3 films can swell/de-swell at various humidity levels. Due to the excellent hygroscopic swelling properties of cellulose, the thickness of the cellulose-derived hydrogel layer enhanced with increasing ambient humidity (Figure 41a). This led to the redshift of its reflection spectrum (Figure 41b). In particular, the Au–cellulose–Au structure had an orange-red color when completely dry, while it turned green in the semi-swelled state and became bright red in its fully swollen state (Figure 41c). Dong et al. [181] state that this humidity-monitoring method is inexpensive and easy to prepare, and that it is highly scalable and durable.
In addition to the chitosan, other components were used in CNC-based composites, in order to improve the parameters of CNC films. For example, the addition of sodium-chloride electrolytes shielded the negative charge of the sulfate groups on the surfaces of CNCs and reduced the chiral nematic distance of the CNCs, resulting in improved selectivity in the CNC films at high humidity levels [178]. Poly(ethylene glycol) (PEG) can be used as a plasticizer to improve the mechanical strength and moisture sensitivity of CNC films [169,170]. For the same purpose, glycerol, a common small-molecule polyol, was introduced into the composite, which is also a plasticizer [172,173,174]. In addition, the strong water-absorption property of glycerin improved the water-absorption capacity of the CNC film and slowed the water-evaporation rate in the evaporation-induced self-assembly process. By changing the ratio of materials in the composite, it is also possible to control the color range of the indicator. For example, increasing the concentration of glycerol in the CNC/glycerol composite within 0–40 wt.% shifted the reflection peak from 280 nm to 620 nm; the color of the film changed from blue to red. Zhang et al. [179] applied N-methylmorpholine-N-oxide (NMMO) to adjust the CNC-helix length and increase the adsorption/desorption capacity of water molecules on CNC films. The addition of highly hydrophilic polyacrylamide (PAM) further enhanced the swelling effect, resulting in a redshift at the reflectance peak of the composite, showing a more pronounced color change [175]. Hydrazone modified poly(nisopropylacrylamide) (PNIPAM) with temperature-sensitivity properties was assembled by CNC to obtain an indicator that was sensitive to both temperature and humidity [176,177].
However, it must be borne in mind that the application of composites requires careful control of the composition and preparation conditions. For example, excess NaCl destroys CNC alignment. Grafting PNIPAM onto CNC surfaces by using chemical bonding reduces the toughness of CNC films [177]. The addition of PAM reduces the stability of the indicator readings during repeated use. Thus, the redshift of the reflectance spectra of the CNC/PAM composite decreased markedly after 10 cycles [175]. If the redshift in the first cycle was from 580 nm to 760 nm, then the peak was at 720 nm after 10 cycles.

9. Challenges in Paper-Based Humidity Sensors and Trends in Development

As shown in this review, the developers of paper-based humidity sensors have made significant progress over the past decade. However, numerous challenges remain and PB humidity sensors are still far from reaching the sensor market [37,44,182,183,184]:
(1) PB humidity sensors usually have a fairly high sensitivity, with RH > 40% range. Sensors capable of operating in this sensitivity range are suitable for most applications. However, for special applications, it is desirable for sensors to operate effectively in the 10–40% RH range. Another limiting factor of most PB humidity sensors is their slow response and recovery. Consequently, PB humidity sensors cannot completely return to their original state within such certain time intervals (≈3–5 s) at room temperature, which reduces the accuracy of their measurements during cyclic changes in humidity [185]. Therefore, developments aimed at improving the parameters of PB humidity sensors, such as their sensitivity to low humidity levels and their speed of response and recovery, will undoubtedly contribute to the expansion of the range of possible applications for these sensors. Based on the research results presented above, in order to solve this problem, reducing the distance between the electrodes, optimizing the structure, and reduce the thickness of the humidity-sensitive layer are proposed.
(2) Paper is sensitive to the state of the surrounding atmosphere, so PB devices require harsh storage conditions. Failure to comply with these conditions significantly reduces the period of storage and operation [186]. This also limits the commercial application of PB sensors, which is an important disadvantage. It means that addressing the problem of convenient and long-term storage is crucial for promoting the widespread commercial use of paper-based sensors in the future. It is hoped that this problem can be solved by using special grades of paper and surface functionalization.
(3) Various applications have specific paper requirements. Therefore, the ability to use paper with distinctive properties to meet the requirements of individual applications can be an effective approach to optimizing the performance of PB humidity sensors. For example, the use of hydrophobic paper makes it possible to reduce the influence of the paper substrate on the characteristics of humidity sensors (see Figure 42a) when using polymeric and solid-state humidity-sensitive materials. Highly conductive paper substrates can be used as electrodes in these sensors. Fire-retardant paper increases fire safety. Transparent papers are of particular interest as platforms for the research into and development of optical humidity sensors. However, to realize these possibilities, technologies that can reproducibly produce papers with the desired properties are required. Currently, numerous studies on this topic are underway [187,188,189,190,191,192], but they are still in their infancy. Some of the results of these studies are shown in Figure 42b. Liana et al. [193] believe that if paper is increasingly recognized as a substrate material suitable for the development of various sensors and electronic devices, there will be competition between manufacturers for paper types with additional functionality.
(4) It is necessary to adapt the technology used to manufacture paper-based humidity sensors as much as possible to the requirements of mass production [194]. In addition, the fabrication of most flexible paper-based humidity sensors is based on methods with which it is relatively difficult to ensure reproducibility and device stability from across batches. Only simple but reproducible and high-performance technologies will facilitate the successful commercialization of paper-based humidity sensors [184].
(5) The technologies used to manufacture flexible electrodes on paper substrates require further improvement. The electrodes used in PB humidity sensors should generally meet the following requirements: (i) good electrical conductivity; (ii) excellent mechanical flexibility; (iii) good adhesion to paper; (iv) a manufacturing process involving technologies compatible with mass-scale production; (v) low cost; and (vi) non-toxicity/low toxicity. Unfortunately, many of these requirements for electrodes in PB sensors are not met. The development of printable conductive inks and the use of advanced printing technologies [195] for the manufacturing of PB flexible electrodes are effective ways of overcoming the shortcomings described above. For example, Duan et al. [196] believe that the use of daily carbon ink (DCI) may be a promising approach to solving this problem. According to Duan et al. [196], DCI can be applied in humidity sensors due to its many unique characteristics and advantages, such as good conductivity and dispersion, strong adhesion, black color, and low cost.
(6) Further challenges include the durability and stretchability of paper. The stretching properties of paper are generally poor. Therefore, great efforts should be undertake to conduct studies on this topic [197,198,199,200], as well as on the optimization of the surface and mechanical properties of paper materials themselves, which are closely related to the performance of PB humidity sensors. The surface properties of paper directly affect the adsorption of H2O molecules and the parameters of both humidity-sensitive materials and the electrodes formed on their surfaces. Furthermore, the stability of the parameters of bent sensors depends on the mechanical flexibility of the paper used. Stress–strain dependencies are crucial for studying the flexibility of materials, but they can only be determined for solid materials, while the structure of paper is characterized by heterogeneity and randomness [201]. In addition, the modulus of elasticity of paper depends on its moisture content. Higher moisture content softens the material, thereby lowering the modulus of elasticity of paper [202].
(7) When developing PB humidity sensors, various humidity-sensitive materials can be used. However, they do not always determine the characteristics of humidity sensors, especially those of the resistive type. Very often, the resistance of humidity-sensitive materials is either excessively low resistance or excessively high. In the first case, the range of resistance changes is narrow, and in the second, the sensory response is controlled not by a sensitive material, but by a paper substrate. Neither case is optimal for achieving the best performance of sensors that use additional humidity-sensitive materials. Therefore, technologies for the synthesis and formation of humidity-sensitive layers with the required electrical parameters, which are optimal for use in humidity sensors, are urgently required. Paper-surface-passivation technologies are also necessary to reduce the influence of paper on the parameters of PB humidity sensors with additional humidity-sensitive materials.
(8) New sensitive materials for PB humidity sensors need to be explored. At present, carbon and its derivatives (e.g., CNTs, graphite, graphene, GO, rGO, and carbon black) are the main sensing materials for PB humidity sensors. It is expected that the use of new materials will improve the performances of these sensors [14]. Further research may focus on exploring new sensing mechanisms and finding innovative nanomaterials to address the observed instability of PB humidity sensors [14,184]. It is believed that promising recently developed nanomaterials, such as quasi-two-dimensional (2D) materials, including black phosphorus (BP) [203], boron nitride (hBN), transition-metal dichalcogenides (TMDC) [204], carbonitrides, and nitrides (MXenes) [205,206,207], could be employed. However, for the application of high-quality 2D film materials to rough and porous paper-substrate surfaces, many challenges need to be solved by optimizing paper-surface characteristics and developing new material-preparation methods [183].
(9) The impact of mechanical flexibility on PB humidity sensors must be reduced [183,208]. Paper has good flexibility, but mechanical bending/distortion has a significant impact on the performance of flexible PB humidity sensors. For example, strong bending can damage the sensing layer and electrical contacts [40,209]. In particular, it has been found that tensile stress in silver-ink films causes deformation at the point of bending, which leads to increased resistance. Figure 43 shows the effect of multiple foldings on the resistance of Ag-based electrodes fabricated from various inks.
Based on the results obtained by Liu et al. [210], it was concluded that the poor foldability of AgNP- and AgMF-ink-based electrodes on paper substrates was mainly due to (1) the relatively rigid structure of the electrodes, consisting of Ag nanoparticles (NP) and Ag microflakes, and (2) the relatively poor adhesion of the electrode material to the cellulose paper. Regarding the AgNW–PVP-ink electrodes on paper, the resulting breaks did not grow into larger defects after 1000 folding cycles, although a number of mechanical defects appeared on the electrodes after only one cycle of folding. It is assumed that AgNW sliding in the AGNW–PVP-ink conducting network due to the AgNW structure helped to compensate for part of the strain attached to the electrodes, which gave the electrodes better flexibility compared to the electrodes based on the AgNP-ink and AgMF-ink [211].
Regarding the AgNW-GO-ink electrodes, it is believed that their flexibility was mainly associated with two factors (Figure 43b). Firstly, the GO sheets, which wrapped and connected with the AgNW (S1, S2), significantly improved the mechanical strength of the AgNW network. Secondly, the oxygen-containing functional groups on the GO surface contributed to the better adhesion between the AgNW–GO-ink electrodes and the surface of the cellulose through hydrogen bonding [212]. These results were consistent with the conclusions of other researchers, which indicated that the stability of flexible PB sensors can be improved by using nanostructured materials, such as Ag nanofibers and nanowires [53,213]. It was found that these materials are very resistant to deformation, and their causes almost no lateral cracks.
(10) Despite the great importance of multifunctional PB sensors, their development faces significant challenges [28,184,214,215,216]. Although their large area and customizable/printable paper characteristics make the manufacturing of multi-functional integrated PB sensors on single sheets of paper simple, multi-functional integrated PB sensors still involve cross-sensitivity to various environmental stimuli. According to Tai et al. [183], this problem can be solved through several approaches, which are described below.
Multifunctional PB sensors can be obtained by searching for materials specifically designed to detect gas, humidity, temperature, and strain [217,218,219,220,221]. These materials can be deposited in spatially resolved areas of the paper substrate and integrated through appropriate packaging strategies.
According to the perceptual characteristics of different stimuli, cross-sensitivity effects can be reduced by means of various signal-conditioning modes, e.g., resistance, capacitance, frequency, and current.
Multifunctional BP sensors can be implemented by combining a number of data-processing techniques, e.g., pattern recognition, principal component analysis, and machine learning.
An example of a multifunctional paper-based testing system, developed for a healthcare monitoring [208], is provided in Figure 44. The system was implemented as a hybrid design on cellulose nanopaper using AgNP-based inks for interconnects and thin Si-based chips for active circuit components. The data collected from the sensors were wirelessly transmitted to a smartphone and visualized in real time. Examples such as this show that nanopaper can be a suitable platform for wearable healthcare-monitoring systems and multi-functional sensors [222].
(11) Notably, such processes as the adsorption and desorption of H2O molecules, as well as ionic diffusion in humidity-sensitive materials, are dependent on temperature. As the temperature rises, the conductivity of the materials used in the sensor increases in turn. Furthermore, the absolute humidity content, calculated as ordinary values in ppm (particles per million), increases as the temperature rises at a certain RH. This means that the characteristics of humidity sensors are also turn affected by the ambient temperature [223,224], which can vary widely. An example of the influence of temperature on the readings of a capacitive humidity sensor is shown in Figure 45. it can be observed that the variation in the ambient temperature leads to significant errors in the determination of the humidity. Subsequently, the effect of the temperature increases with higher humidity levels (Figure 45a). For lower humidity rates (around 40 RH %), the sensors show low sensitivity to temperature, while above this humidity level, the sensitivity becomes more dramatic.
Two solutions to this problem are possible. One (i) is to stabilize the temperature of the sensor, which is an energy-consuming method and increases the size of the measuring device. The other (ii) is to control the temperature, alongside the measurement of the humidity, and to automatically make appropriate corrections to the sensor readings [223,225,226,227]. The second option seems to be more rational, especially if this task is combined with the development of multifunctional integrated PB sensors. Furthermore, Islam et al. [228] believe that temperature compensation can be performed better by using software methods that provide greater flexibility in terms of humidity sensors. In particular, these authors suggested applying artificial neural networks (ANN) in cases such as this. Artificial neural networks have emerged as highly effective learning techniques that are suitable for performing nonlinear, complex, and dynamic tasks with a high degree of accuracy [229]. However, compensation with the hardware method has low accuracy and high cost. It is important to note that combinations of PB humidity and temperature sensors have already been developed and, have even been successfully used in commercial devices. For instance, Khan et al. [230,231] demonstrated the use of paper-based temperature and humidity sensors in the healthcare industry, particularly when placed inside a prescription container (Figure 46b).
(12) It is necessary to consider the development of integrated and automated systems based on paper platforms with multiple functions, such as sample preparation, separation, reaction, detection, processing, and the transmission of information [233]. For real analyses, it is necessary to design a more reproducible electronic system in combination with a portable and convenient reader. Currently, a new generation of flexible optoelectronic, electronic, and sensory devices on cellulose substrates is emerging [234,235,236,237,238,239,240,241,242,243,244], which opens up promising opportunities for research on and the development of low-cost integrated systems.
(13) The final issue is the ability to develop self-powered humidity sensors for wearable electronics [185,236,245,246]. Various research groups are currently working on this topic. It was shown that paper is a versatile substrate for creating various energy-generation and -storage devices, which can be used in self-powered nanosystems [13,236,247,248]. The most interesting approach is the use of a battery-less system, in which power is generated by the humidity of the environment. This approach was discussed in [249,250,251,252] and is based on conducting metal–air redox reactions, which are commonly used in high-performance metal–air batteries. These batteries can convert chemical energy into electrical energy and do not require external stimulation, demonstrating the advantage of achieving high stability. The self-powered chemoelectric device consists of a multilayer sandwiched structure with metal electrodes and solid electrolytes. When the device is exposed to humid air, the water concentration gradually changes in the solid electrolyte. On the top side, the concentration of adsorbed water is higher than on the bottom. This induces a diffusion of ionic species related to water molecules (protons and hydronium ions), which subsequently generates a potential difference, as shown in Figure 47. Depending on the components used, a moisture-enabled electricity generator (MEEG) can provide an open-circuit voltage of 0.1–0.5 V.
Examples of the implementation of self-powered chemoelectric PB humidity sensors were presented in works by Kan et al. [253] and Li et al. [254]. Kan et al. [253] used cellulose filter paper (FP) in the process of manufacturing humidity sensors. The FP was completely immersed in CoCl2 solution and maintained for 6 h, so that the cobalt-chloride solution could fully penetrate into its pores. A conductive tape was used as electrodes, equipped with a hole for penetrating water vapors. Figure 48a illustrates the response of the sensor to the changes in humidity. The device provided a certain open-circuit voltage response in the overall humidity range; if the humidity was higher, the voltage response was larger. When the RH was below 59%, the open-circuit voltage slowly increased. When the RH exceeded 59%, the voltage increased sharply, and the response curve became relatively. To determine the maximum output voltage of the sensor at different humidity levels, the CoCl2@FP sensor was placed in each humidity environment for 10 min to obtain the open-circuit voltage in the stationary state. At low humidity levels, of 11–33% RH, the voltage of the sensor approached 0 V (Figure 48b). When the RH increased to 98%, the open-circuit voltage rose to over 200 mV. The response and recovery times of the CoCl2@FP sensor for electric humidity sensors are long (143 s) and short (45 s), respectively. Kan et al. [253] stated that the voltage response of the sensor showed no significant differences, even after long times and repeated tests, which indicated the excellent stability performance of the sensor. In addition, this device can maintain excellent voltage-response performance at operating temperatures of 0–40 °C and after 3000 folds. Li et al. [254] found that polypyrrole (PPy), which has high electrical conductivity, good environmental stability, and reversible electrochemical redox characteristics, can also be used to produce self-powered chemoelectric humidity sensors. In their study, a humidity sensor was prepared using the in situ polymerization of PPy in filter paper doped with acetic acid. The results demonstrated that the PPy/filter-paper-based humidity sensor provided an electron-migration channel with the ability to detect the relative humidity. External humidity stimulation can regulate the electrochemical reaction of PPy. The PPy system loses electrons to form carrier directional channels, resulting in changes in the output voltage measured between the two electrodes. According to Li et al. [254], the PPy/filter-paper-based humidity sensor exhibited moisture-dependent voltage responses over a wide range of relative humidity, of 11–98%, and a response/recovery time of 43/51 s.
Another solution is to drive a fast-response PB humidity sensor with another powered system. For example, microbial fuel cells (MFCs) [255], fluidic batteries [256], flexible thermoelectric nanogenerators (TEGs) [257], and supercapacitors (SC) [214,237,258,259] can be produced from paper for this purpose. In particular, Yuan et al. [259] successfully fabricated all-solid flexible polyaniline (PANI) supercapacitors on paper substrates to store sufficient energy generated by a piezoelectric generator or solar cell to power various sensors (see Figure 49). He et al. [260] developed a triboelectric nanogenerator based on cellulose fibers. In addition, several scientific groups are working to improve the efficiency of power generation using moisture [261,262]. All these observations suggest the possibility of developing self-powered paper-based humidity sensors [263,264,265].

10. Summary

While paper offers significant potential as a development platform for humidity sensors, further improvements in fabrication and analysis methods are still needed to match the performance of the conventional humidity sensors currently on the market. The development of paper-based sensors is still in its infancy; therefore, currently, limitations remain regarding the sensitivity, accuracy, repeatability, and stability of paper-based sensors.
After reviewing the parameters of paper-based humidity sensors, it is clear that extensive developments have taken place in recent years that have significantly improved the performances of these sensors, and there is no doubt that further advances will be made in this growing field in the future. This means that adequate sensor properties (high sensitivity, good selectivity, stability, linearity, and acceptable response and recovery times) will be achieved, and that these sensors will be used in the same areas as sensors on solid substrates and flexible polymer substrates. However, this requires further research related to the improvement of conventional methods and the search for new methods for the deposition of functional humidity-sensitive and electrode materials on paper surfaces, in order to overcome the concerns described in this study and to design better and more stable devices. Further in-depth and detailed research on paper-based sensors will also play a positive role in promoting their future maturity and commercialization. However, of course, when solving these problems, the simplicity and cost advantages of paper-based sensors must not be sacrificed [193].

Author Contributions

G.K.—conceptualization, methodology, data analysis, visualization, writing—original draft preparation, supervision. N.P.S., E.P.S., V.V.S. and V.B.—data analysis, validation, review, editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the State Program of the Republic of Moldova (project 20.80009.5007.02). The work was carried out with the partial support of the Russian Science Foundation, project no. 21-73-10251, https://rscf.ru/en/project/21-73-10251/, 30 March 2023 (in terms of the consideration of MXene-based devices).

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Korotcenkov, G. Paper-based humidity sensors as promising flexible devices: State of the art. Part 1. General consideration. Nanomaterials 2023, 13, 1110. [Google Scholar] [CrossRef] [PubMed]
  2. Yamazoe, N.; Shimizu, Y. Humidity sensors: Principles and applications. Sens. Actuators 1986, 10, 379–398. [Google Scholar] [CrossRef]
  3. Rittersma, Z.M. Recent achievements in miniaturised humidity sensors-a review of transduction techniques. Sens. Actuators B Chem. 2002, 96, 196–210. [Google Scholar] [CrossRef]
  4. Chen, Z.; Lu, C. Humidity sensors: A review of materials and mechanisms. Sens. Lett. 2005, 3, 274–295. [Google Scholar] [CrossRef]
  5. Lee, C.-Y.; Lee, G.-B. Humidity sensors: A review. Sens. Lett. 2005, 3, 1–15. [Google Scholar] [CrossRef]
  6. Farahani, H.; Wagiran, R.; Hamidon, M.N. Humidity sensors principle, mechanism, and fabrication technologies: A comprehensive review. Sensors 2014, 14, 7881–7939. [Google Scholar] [CrossRef]
  7. Blank, T.A.; Eksperiandova, L.P.; Belikov, K.N. Recent trends of ceramic humidity sensors development: A review. Sens. Actuators B Chem. 2016, 228, 416–442. [Google Scholar] [CrossRef]
  8. Lv, C.; Hu, C.; Luo, J.; Liu, S.; Qiao, Y.; Zhang, Z.; Song, J.; Shi, Y.; Cai, J.; Watanabe, A. Recent advances in graphene-based humidity sensors. Nanomaterials 2019, 9, 422. [Google Scholar] [CrossRef]
  9. Korotcenkov, G. Handbook of Humidity Measurements, Vol. 1: Spectroscopic Methods of Humidity Measurement; CRC Press: Boca Raton, FL, USA, 2018. [Google Scholar]
  10. Korotcenkov, G. Handbook of Humidity Measurement, Vol. 2: Electronic and Electrical Humidity Sensors; CRC Press: Boca Raton, FL, USA, 2019. [Google Scholar]
  11. Korotcenkov, G. Handbook of Humidity Measurements, Vol. 3: Sensing Materials and Technologies; CRC Press: Boca Raton, FL, USA, 2020. [Google Scholar]
  12. Liang, R.; Luo, A.; Zhang, Z.; Li, Z.; Han, C.; Wu, W. Research progress of graphene-based flexible humidity sensor. Sensors 2020, 20, 5601. [Google Scholar] [CrossRef]
  13. Kano, S.; Jarulertwathana, N.; Mohd-Noor, S.; Hyun, J.K.; Asahara, R.; Mekaru, H. Respiratory monitoring by ultrafast humidity sensors with nanomaterials: A review. Sensors 2022, 22, 1251. [Google Scholar] [CrossRef]
  14. Sajid, M.; Khattak, Z.J.; Rahman, K.; Hassan, G.; Choi, K.H. Progress and future of relative humidity sensors: A review from materials perspective. Bull. Mater. Sci. 2022, 45, 238. [Google Scholar] [CrossRef]
  15. Kumar, A.; Gupta, G.; Bapna, K.; Shivagan, D.D. Semiconductor-metal-oxide-based nano-composites for humidity sensing applications. Mater. Res. Bull. 2023, 158, 112053. [Google Scholar] [CrossRef]
  16. Courbat, J.; Kim, Y.B.; Briand, D.; de Rooi, N.F. Inkjet printing on paper for the realization of humidity and temperature sensors. In Proceedings of the 16th International Solid-State Sensors, Actuators and Microsystems Conference, Beijing, China, 5–9 June 2011; pp. 1356–1359. [Google Scholar] [CrossRef]
  17. Mraovic, M.; Muck, T.; Pivar, M.; Trontelj, J.; Pletersek, A. Humidity sensors printed on recycled paper and cardboard. Sensors 2014, 14, 13628–13643. [Google Scholar] [CrossRef] [PubMed]
  18. Andersson, H.; Manuilskiy, A.; Gao, J.; Lidenmark, C.; Sidén, J.; Forsberg, S.; Unander, T.; Nilsson, H.-E. Investigation of humidity sensor effect in silver nanoparticle ink sensors printed on paper. IEEE Sens. J. 2014, 14, 623–628. [Google Scholar] [CrossRef]
  19. Balde, M.; Vena, A.; Sorli, B. Fabrication of porous anodic aluminium oxide layers on paper for humidity sensors. Sens. Actuators B 2015, 220, 829–839. [Google Scholar] [CrossRef]
  20. Wawrzynek, E.; Baumbauer, C.; Arias, A.C. Characterization and comparison of biodegradable printed capacitive humidity sensors. Sensors 2021, 21, 6557. [Google Scholar] [CrossRef] [PubMed]
  21. Ullah, A.; Zulfiqar, M.H.; Khan, M.A.; Ali, M.; Zubair, M.; Mehmood, M.Q.; Massoud, Y. Garage-fabricated, ultrasensitive capacitive humidity sensor based on tissue paper. Sensors 2022, 22, 7885. [Google Scholar] [CrossRef]
  22. Gaspar, C.; Olkkonen, J.; Passoja, S.; Smolander, M. Paper as active layer in inkjet-printed capacitive humidity sensors. Sensors 2017, 17, 1464. [Google Scholar] [CrossRef]
  23. Pavinatto, F.J.; Paschoal, C.W.A.; Arias, A.C. Printed and flexible biosensor for antioxidants using interdigitated ink-jetted electrodes and gravure-deposited active layer. Biosens. Bioelectron. 2015, 67, 553–559. [Google Scholar] [CrossRef]
  24. Rahimi, R.; Ochoa, M.; Ziaie, B. A comparison of direct and indirect laser ablation of metallized paper for inexpensive paper-based sensors. ACS Appl. Mater. Interfaces 2018, 10, 36332–36341. [Google Scholar] [CrossRef]
  25. Kanaparthi, S.; Badhulika, S. Solvent-free fabrication of paper based all-carbon disposable multifunctional sensors and passive electronic circuits. RSC Adv. 2016, 6, 95574. [Google Scholar] [CrossRef]
  26. Kanaparthi, S. Pencil-drawn paper-based non-invasive and wearable capacitive respiration sensor. Electroanalysis 2017, 29, 2680–2684. [Google Scholar] [CrossRef]
  27. Zhang, X.; He, D.; Yang, Q.; Atashbar, M.Z. Rapid, highly sensitive, and highly repeatable printed porous paper humidity sensor. Chem. Eng. J. 2022, 433, 133751. [Google Scholar] [CrossRef]
  28. Nassar, J.M.; Cordero, M.D.; Kutbee, A.T.; Karimi, M.A.; Sevilla, G.A.T.; Hussain, A.M.; Shamim, A.; Hussain, M.M. Paper skin multisensory platform for simultaneous environmental monitoring. Adv. Mater. Technol. 2016, 1, 1600004. [Google Scholar] [CrossRef]
  29. Lim, W.Y.; Goh, C.H.; Yap, K.Z.; Ramakrishnan, N. One-step fabrication of paper-based inkjet-printed graphene for breath monitor sensors. Biosensors 2023, 13, 209. [Google Scholar] [CrossRef]
  30. Qian, Z.; Li, T.; Sakthivelpathi, V.; Goodman, S.M.; Dichiara, A.B.; Mamishev, A.V.; Chung, J.-H. Humidity response of a capacitive sensor based on auxeticity of carbon nanotube-paper composites. Nano Express 2022, 3, 025001. [Google Scholar] [CrossRef]
  31. Thiyagarajan, K.; Rajini, G.; Maji, D. Flexible, highly sensitive paper-based screen printed MWCNT/PDMS composite breath sensor for human respiration monitoring. IEEE Sens. J. 2020, 21, 13985–13995. [Google Scholar] [CrossRef] [PubMed]
  32. Alrammouz, R.; Podlecki, J.; Vena, A.; Garcia, R.; Abboud, P.; Habchi, R.; Sorli, B. Highly porous and flexible capacitive humidity sensor based on self-assembled graphene oxide sheets on a paper substrate. Sens. Actuators B 2019, 298, 126892. [Google Scholar] [CrossRef]
  33. Song, Z.; Li, S.; Hou, B.; Cheng, Z.; Xue, Y.; Chen, B. High-sensitivity paper-based capacitive humidity sensors for respiratory monitoring. IEEE Sens. J. 2023, 23, 2291–2302. [Google Scholar] [CrossRef]
  34. Kafy, A.; Akther, A.; Shishir, M.I.R.; Kim, H.C.; Yun, Y.; Kim, J. Cellulose nanocrystal/graphene oxide composite film as humidity sensor. Sens. Actuators A 2016, 247, 221–226. [Google Scholar] [CrossRef]
  35. Jalkanen, T.; Määttänen, A.; Mäkilä, E.; Tuura, J.; Kaasalainen, M.; Lehto, V.-P.; Ihalainen, P.; Peltonen, J.; Salonen, J. Fabrication of porous silicon-based humidity sensing elements on paper. J. Sens. 2015, 2015, 927396. [Google Scholar] [CrossRef]
  36. Jalkanen, T.; Mäkilä, E.; Määttänen, A.; Tuura, J.; Kaasalainen, M.; Lehto, V.-P.; Ihalainen, P.; Peeltonen, J.; Salonen, J. Porous silicon micro- and nanoparticles for printed humidity sensors. Appl. Phys. Lett. 2012, 101, 263110. [Google Scholar] [CrossRef]
  37. Duan, Z.; Jiang, Y.; Yan, M.; Wang, S.; Yuan, Z.; Zhao, Q.; Sun, P.; Xie, G.; Du, X.; Tai, H. Facile, flexible, cost-saving, and environment-friendly paper-based humidity sensor for multifunctional applications. ACS Appl. Mater. Interfaces 2019, 11, 21840–21849. [Google Scholar] [CrossRef] [PubMed]
  38. Ma, X.; Zhang, S.; Zou, P.; Li, R.; Fan, Y. Paper-based humidity sensor for respiratory monitoring. Materials 2022, 15, 6447. [Google Scholar] [CrossRef] [PubMed]
  39. Steffens, C.; Manzoli, A.; Paschoalin, R.T.; Tiggemann, L.; Steffens, J.; Teixeira, E.; de Paula Herrmann, P.S. Tracing paper substrate used for development of interdigitated graphite electrode and its application as humidity sensor. Synth. Met. 2013, 183, 36–39. [Google Scholar] [CrossRef]
  40. Guder, F.; Ainla, A.; Redston, J.; Mosadegh, B.; Glavan, A.; Martin, T.J.; Whitesides, G.M. Paper-based electrical respiration sensor. Angew. Chem. Int. Ed. 2016, 55, 5727–5732. [Google Scholar] [CrossRef]
  41. Niarchos, G.; Dubourg, G.; Afroudakis, G.; Tsouti, V.; Makarona, E.; Matovic, J.; Crnojevic-Bengin, V.; Tsamis, C. Paper-based humidity sensor coated with ZnO nanoparticles: The influence of ZnO. Proc. Eng. 2016, 168, 325–328. [Google Scholar] [CrossRef]
  42. Barmpakos, D.; Segkos, A.; Tsamis, C.; Kaltsas, G. A disposable flexible humidity sensor directly printed on paper for medical applications. J. Phys. Conf. Ser. 2017, 931, 012003. [Google Scholar] [CrossRef]
  43. Barmpakos, D.; Tsamis, C.; Kaltsas, G. Multi-parameter paper sensor fabricated by inkjet-printed silver nanoparticle ink and PEDOT:PSS. Microelectron. Eng. 2020, 225, 111266. [Google Scholar] [CrossRef]
  44. Duan, Z.; Jiang, Y.; Huang, Q.; Wang, S.; Wang, Y.; Pan, H.; Zhao, Q.; Xie, G.; Du, X.; Tai, H. Paper and carbon ink enabled low-cost, eco-friendly, flexible, multifunctional pressure and humidity sensors. Smart Mater. Struct. 2021, 30, 055012. [Google Scholar] [CrossRef]
  45. Zhu, L.; Li, X.; Kasuga, T.; Uetani, K.; Nogi, M.; Koga, H. All-cellulose-derived humidity sensor prepared via direct laser writing of conductive and moisture-stable electrodes on TEMPO-oxidized cellulose paper. J. Mater. Chem. C 2022, 10, 3712–3719. [Google Scholar] [CrossRef]
  46. Mansoori, A.; Ahmad, S.; Bansal, S.; Vashishath, M. Flexible graphite-based humidity sensor using green technology. ECS Sens. Plus 2023, 1, 044401. [Google Scholar] [CrossRef]
  47. Wang, Y.; Zhang, L.; Zhou, J.; Lu, A. Flexible and transparent cellulose based ionic film as humidity sensor. ACS Appl. Mater. Interfaces 2020, 12, 7631–7638. [Google Scholar] [CrossRef] [PubMed]
  48. Saito, T.; Nishiyama, Y.; Putaux, J.L.; Vignon, M.; Isogai, A. Homogeneous suspensions of individualized microfibrils from TEMPO-catalyzed oxidation of native cellulose. Biomacromolecules 2006, 7, 1687–1691. [Google Scholar] [CrossRef]
  49. Langford, M. Basic Photography; Focal Press: Oxford, UK, 2000. [Google Scholar]
  50. Andersson, H.; Manuilskiy, A.; Unander, T.; Lidenmark, C.; Forsberg, S.; Nilsson, H.-E. Inkjet printed silver nanoparticle humidity sensor with memory effect on paper. IEEE Sens. J. 2012, 12, 1901–1905. [Google Scholar] [CrossRef]
  51. Zhao, H.; Zhang, T.; Qi, R.; Dai, J.; Liu, S.; Fei, T. Drawn on paper: A reproducible humidity sensitive device by handwriting. ACS Appl. Mater. Interfaces 2017, 9, 28002–28009. [Google Scholar] [CrossRef]
  52. Zhang, Y.; Duan, Z.; Zou, H.; Ma, M. Drawn a facile sensor: A fast response humidity sensor based on pencil-trace. Sens. Actuators B 2018, 261, 345–353. [Google Scholar] [CrossRef]
  53. Lou, Z.; Shen, G. Flexible photodetectors based on 1D inorganic nanostructures. Adv. Sci. 2016, 3, 1500287. [Google Scholar] [CrossRef]
  54. Zhu, P.; Ou, H.; Kuang, Y.; Hao, L.; Diao, J.; Chen, G. Cellulose nanofiber/carbon nanotube dual network-enabled humidity sensor with high sensitivity and durability. ACS Appl. Mater. Interfaces 2020, 12, 33229–33238. [Google Scholar] [CrossRef]
  55. Zhu, P.; Kuang, Y.; Wei, Y.; Li, F.; Ou, H.; Jiang, F.; Chen, G. Electrostatic self- assembly enabled flexible paper-based humidity sensor with high sensitivity and superior durability. Chem. Eng. J. 2021, 404, 127105. [Google Scholar] [CrossRef]
  56. Zhu, P.; Liu, Y.; Fang, Z.; Kuang, Y.; Zhang, Y.; Peng, C.; Chen, G. Flexible and highly sensitive humidity sensor based on cellulose nanofibers and carbon nanotube composite film. Langmuir 2019, 35, 4834–4842. [Google Scholar] [CrossRef] [PubMed]
  57. Qi, H.; Schulz, B.; Vad, T.; Liu, J.; Mader, E.; Seide, G.; Gries, T. Novel carbon nanotube/cellulose composite fibers as multifunctional materials. ACS Appl. Mater. Interfaces 2015, 7, 22404–22412. [Google Scholar] [CrossRef] [PubMed]
  58. Qi, H.; Liu, J.; Gao, S.; Mader, E. Multifunctional films composed of carbon nanotubes and cellulose regenerated from alkaline–urea solution. J. Mater. Chem. A 2013, 1, 2161–2168. [Google Scholar] [CrossRef]
  59. Xie, L.; Feng, Y.; Mäntysalo, M.; Chen, Q.; Zheng, L.-R. Integration of f-MWCNT sensor and printed circuits on paper substrate. IEEE Sens. J. 2013, 13, 3948–3956. [Google Scholar] [CrossRef]
  60. Han, J.-W.; Kim, B.; Li, J.; Meyyappan, M. Carbon nanotube-based humidity sensor on cellulose paper. J. Phys. Chem. C 2012, 116, 22094–22097. [Google Scholar] [CrossRef]
  61. Khalifa, M.; Wuzella, G.; Lammer, H.; Mahendran, A.R. Smart paper from graphene coated cellulose for high-performance humidity and piezoresistive force sensor. Synth. Met. 2020, 266, 116420. [Google Scholar] [CrossRef]
  62. Yoshida, A.; Wang, Y.-F.; Tachibana, S.; Hasegawa, A.; Sekine, T.; Takeda, Y.; Hong, J.; Kumaki, D.; Shiba, T.; Tokito, S. Printed, all-carbon-based flexible humidity sensor using a cellulose nanofiber/graphene nanoplatelet composite. Carbon Trends 2022, 7, 100166. [Google Scholar] [CrossRef]
  63. Beniwal, A.; Ganguly, P.; Aliyana, A.K.; Khandelwal, G.; Dahiy, R. Screen-printed graphene-carbon ink based disposable humidity sensor with wireless communication. Sens. Actuators B 2023, 374, 132731. [Google Scholar] [CrossRef]
  64. Balakrishnan, V.; Dinh, T.; Foisal, A.R.M.; Nguyen, T.; Phan, H.-P.; Dao, D.V.; Nguyen, N.-T. Paper-based electronics using graphite and silver nanoparticles for respiration monitoring. IEEE Sens. J. 2019, 19, 11784–11790. [Google Scholar] [CrossRef]
  65. Choo, T.F.; Kok, K.Y.; Saidin, N.U.; Zali, N.M. Effect of chemical treatment and intrinsic resistance on the humidity sensitivity of pencil graphite sensing material coated on paper substrate. Sens. Actuators A Phys. 2012, 332, 113085. [Google Scholar] [CrossRef]
  66. Shobin, L.R.; Manivannan, S. Carbon nanotubes on paper: Flexible and disposable chemiresistors. Sens. Actuators B 2015, 220, 1178–1185. [Google Scholar] [CrossRef]
  67. Chitnis, G.; Ziaie, B. Waterproof active paper via laser surface micropatterning of magnetic nanoparticles. ACS Appl. Mater. Interfaces 2012, 4, 4435–4439. [Google Scholar] [CrossRef] [PubMed]
  68. Song, Z.; Tang, J.; Li, J.; Xiao, H. Plasma-induced polymerization for enhancing paper hydrophobicity. Carnohydr. Polym. 2013, 92, 928–933. [Google Scholar] [CrossRef]
  69. Stanssens, D.; Van den Abbeele, H.; Vonck, L.; Schoukens, G.; Deconinck, M.; Samyn, P. Creating water-repellent and super-hydrophobic cellulose substrates by deposition of organic nanoparticle. Mater. Lett. 2011, 65, 1781–1784. [Google Scholar] [CrossRef]
  70. Ogihara, H.; Xie, J.; Okagaki, J.; Saji, T. Simple method for preparing superhydrophobic paper: Spray-deposited hydrophobic silica nanoparticle coatings exhibit high water-repellency and transparency. Langmuir 2012, 28, 4605–4608. [Google Scholar] [CrossRef] [PubMed]
  71. Bollstrom, R.; Pettersson, F.; Dolietis, P.; Preston, J.; Osterbacka, R.; Toivakka, M. Impact of humidity on functionality of on-paper printed electronics. Nanotechnology 2014, 25, 094003. [Google Scholar] [CrossRef]
  72. Kano, S.; Fujii, M. All-painting process to produce respiration sensor using humidity-sensitive nanoparticle film and graphite trace. ACS Sustain. Chem. Eng. 2018, 6, 12217–12223. [Google Scholar] [CrossRef]
  73. Bhattacharjee, M.; Bandyopadhyay, D. Mechanisms of humidity sensing on a CdS nanoparticle coated paper sensor. Sens. Actuators A Phys. 2019, 285, 241–247. [Google Scholar] [CrossRef]
  74. Niarchos, G.; Dubourg, G.; Afroudakis, G.; Georgopoulos, M.; Tsouti, V.; Makarona, E.; Crnojevic-Bengin, V.; Tsamis, C. Humidity sensing properties of paper substrates and their passivation with ZnO nanoparticles for sensor applications. Sensors 2017, 17, 516. [Google Scholar] [CrossRef]
  75. Bhattacharjee, M.; Nemade, H.B.; Bandyopadhyay, D. Nano-enabled paper humidity sensor for mobile based point-of-care lung function monitoring. Biosens. Bioelectron. 2017, 94, 544–551. [Google Scholar] [CrossRef]
  76. Reilly, J.M. Basic strategy for acetate film preservation. Microform Digit. Rev. 2007, 31, 117–130. [Google Scholar] [CrossRef]
  77. Gomes, T.C.; Constantino, C.J.L.; Lopes, E.M.; Job, A.E.; Alves, N. Thermal inkjet printing of polyaniline on Paper. Thin Solid Films 2012, 520, 7200–7204. [Google Scholar] [CrossRef]
  78. Shukla, S.K. Synthesis of polyaniline grafted cellulose suitable for humidity sensing. Ind. J. Eng. Mater. Sci. 2012, 19, 417–420. [Google Scholar]
  79. Ragazzini, I.; Castagnoli, R.; Gualandi, I.; Cassani, M.C.; Nanni, D.; Gambassi, F.; Scavetta, E.; Bernardi, E.; Ballarin, B. A resistive sensor for humidity detection based on cellulose/polyaniline. RSC Adv. 2022, 12, 28217–28226. [Google Scholar] [CrossRef] [PubMed]
  80. Mahlknecht, J.; Wuzella, G.; Lammer, H.; Khalifa, M. A smart functional surfactant activated conductive polymer coated on paper with ultra-sensitive humidity sensing characteristics. Mater. Adv. 2022, 3, 1804–1815. [Google Scholar] [CrossRef]
  81. Du, Y.; Li, X.; Zhao, X.; Wang, N.; Li, D. Fabrication and humidity sensing of reduced graphene oxide/polyaniline composite film on flexible paper substrate. Sens. Mater. 2020, 34, 2065–2074. [Google Scholar] [CrossRef]
  82. Sandhu, S.S.; Kumar, S.; Augustine, S.; Saha, U.; Arora, K.; Bayan, S.; Ray, S.K.; Puri, N.K.; Malhotra, B.D. Nanoengineered conductive polyaniline enabled sensor for sensitive humidity detection. IEEE Sens. J. 2020, 20, 12574–12581. [Google Scholar] [CrossRef]
  83. Yuan, Y.; Zhang, Y.; Liu, R.; Liu, J.; Li, Z.; Liu, X. Humidity sensor fabricated by inkjet-printing photosensitive conductive inks PEDOT: PVMA on a paper substrate. RSC Adv. 2016, 6, 47498–47508. [Google Scholar] [CrossRef]
  84. Santhiago, M.; da Costa, P.G.; Pereira, M.P.; Correa, C.C.; de Morais, V.B.; Bufon, C.C.B. Versatile and robust integrated sensors to locally assess humidity changes in fully enclosed paper-based devices. ACS Appl. Mater. Interfaces 2018, 10, 35631–35638. [Google Scholar] [CrossRef]
  85. Jain, S.; Chakane, S.; Samui, A.; Krishnamurthy, V.N.; Bhoraskar, S.V. Humidity sensing with weak acid-doped polyaniline and its composites. Sens. Actuators B 2003, 96, 124–129. [Google Scholar] [CrossRef]
  86. Zeng, F.-W.; Liu, X.-X.; Diamond, D.; Lau, K.T. Humidity sensors based on polyaniline nanofibers. Sens. Actuators B Chem. 2010, 143, 530–534. [Google Scholar] [CrossRef]
  87. Anisimov, Y.A.; Evitts, R.W.; Cree, D.E.; Wilson, L.D. Polyaniline/biopolymer composite systems for humidity sensor applications: A review. Polymers 2021, 13, 2722. [Google Scholar] [CrossRef] [PubMed]
  88. Wu, T.F.; Hong, J.D. Humidity sensing properties of transferable polyaniline thin films formed at the air–water interface. RSC Adv. 2016, 6, 96935–96941. [Google Scholar] [CrossRef]
  89. Morais, R.M.; Klem, M.D.S.; Nogueira, G.L.; Gomes, T.C.; Alves, N. Low cost humidity sensor based on PANI/PEDOT:PSS printed on paper. IEEE Sens. J. 2018, 18, 2647–2651. [Google Scholar] [CrossRef]
  90. Duncan, B.C.; Broughton, W.R. Absorption and Diffusion of Moisture in Polymeric Materials; National Physical Laboratory: Middlesex, UK, 2007. [Google Scholar]
  91. Cavallo, P.; Acevedo, D.F.; Fuertes, M.C.; Soler-Illia, G.J.A.A.; Barbero, C.A. Understanding the sensing mechanism of polyaniline resistive sensors. Effect of humidity on sensing of organic volatiles. Sens. Actuators B Chem. 2015, 210, 574–580. [Google Scholar] [CrossRef]
  92. Liao, G.; Li, Q.; Xu, Z. The chemical modification of polyaniline with enhanced properties: A review. Prog. Org. Coat. 2019, 126, 35–43. [Google Scholar] [CrossRef]
  93. Mo, Z.-L.; Zhao, Z.-L.; Chen, H.; Niu, G.-P.; Shi, H.-F. Heterogeneous preparation of cellulose–polyaniline conductive composites with cellulose activated by acids and its electrical properties. Carbohydr. Polym. 2009, 75, 660–664. [Google Scholar] [CrossRef]
  94. Imali, D.E.; Perera, E.C.J.; Kaumal, M.N.; Dissanayake, D.P. Fabrication and characterization of a flexible and disposable impedance-type humidity sensor based on polyaniline (PAni). RSC Adv. 2023, 13, 6396–6411. [Google Scholar] [CrossRef]
  95. Kotresh, S.; Ravikiran, Y.T.; Raj Prakash, H.G.; Ramana, C.V.V.; Vijayakumari, S.C.; Thomas, S. Humidity sensing performance of spin coated polyaniline– carboxymethyl cellulose composite at room temperature. Cellulose 2016, 23, 3177–3186. [Google Scholar] [CrossRef]
  96. Zhao, H.; Lin, X.; Qi, R.; Dai, J.; Liu, S.; Feng, T.; Zhang, T. A composite structure of in situ cross-linked poly (ionic liquid)s and paper for humidity-monitoring applications. IEEE Sens. J. 2019, 19, 833–837. [Google Scholar] [CrossRef]
  97. Falco, A.; Marín-Sánchez, A.; Loghin, F.C.; Castillo, E.; Salinas-Castillo, A.; Salmerón, J.F.; Rivadeneyra, A. Paper and salt: Biodegradable NaCl-based humidity sensors for sustainable electronics. Front. Electron. 2022, 3, 838472. [Google Scholar] [CrossRef]
  98. Guan, X.; Hou, Z.; Wu, K.; Zhao, H.; Liu, S.; Fei, T.; Zhang, T. Flexible humidity sensor based on modified cellulose paper. Sens. Actuators B 2021, 339, 129879. [Google Scholar] [CrossRef]
  99. Rivadeneyra, A.; Marín-Sanchez, A.; Wicklein, B.; Salmeron, J.F.; Castillo, E.; Bobinger, M.; Salinas-Castillo, A. Cellulose nanofibers as substrate for flexible and biodegradable moisture sensors. Compos. Sci. Technol. 2021, 208, 108738. [Google Scholar] [CrossRef]
  100. Sahoo, K.; Mohanty, B.; Biswas, A.; Nayak, J. Role of hexamethylenetetramine in ZnO-cellulose nanocomposite enabled UV and humidity sensor. Mater. Sci. Semicond. Proces. 2020, 105, 104699. [Google Scholar] [CrossRef]
  101. Syrový, T.; Maronová, S.; Kuberský, P.; Ehman, N.V.; Vallejos, M.E.; Pretl, S.; Felissia, F.E.; Area, M.C.; Chinga-Carrasco, G. Wide range humidity sensors printed on biocomposite films of cellulose nanofibril and poly(ethylene glycol). J. Appl. Polym. Sci. 2019, 136, 47920. [Google Scholar] [CrossRef]
  102. Nash, C.; Spiesschaert, Y.; Amarandei, G.; Stoeva, Z.; Tomov, R.I.; Tonchev, D.; van Driessche, I.; Glowacki, B.A. A comparative study on the conductive properties of coated and printed silver layers on a paper substrate. J. Electron. Mater. 2015, 44, 497–510. [Google Scholar] [CrossRef]
  103. Farrell, M.J.; Ormond, R.B.; Gabler, W.J. Quantitative analysis of trimethyl amine in cotton fabrics cationized with 3-chloro-2-hydroxypropyltrimethylammonium chloride. Cellulose 2015, 22, 3435–3439. [Google Scholar] [CrossRef]
  104. Correia, J.; Rainert, K.T.; Oliveira, F.R.; de Ca’ssia Siqueira, R.; Valle, C.; Valle, J.A.B. Cationization of cotton fiber: An integrated view of cationic agents, processes variables, properties, market and future prospects. Cellulose 2020, 27, 8527–8550. [Google Scholar] [CrossRef]
  105. Li, Z.; Wang, J.; Xu, Y.; Shen, M.; Duan, C.; Dai, L.; Ni, Y. Green and sustainable cellulose-derived humidity sensors: A review. Carbohydr. Polym. 2021, 270, 118385. [Google Scholar] [CrossRef]
  106. Yao, Y.; Huang, X.-H.; Zhang, B.-Y.; Zhang, Z.; Hou, D.; Zhou, Z.-K. Facile fabrication of high sensitivity cellulose nanocrystals based QCM humidity sensors with asymmetric electrode structure. Sens. Actuators B Chem. 2020, 302, 127192. [Google Scholar] [CrossRef]
  107. Chen, W.X.; Chen, B.; Lv, R.X.; Wu, M.L.; Zhou, J. Fabrication of quartz crystal microbalance humidity sensors based on super-hydrophilic cellulose nanocrystals. Cellulose 2021, 28, 3409–3421. [Google Scholar] [CrossRef]
  108. Tang, L.; Chen, W.; Chen, B.; Lv, R.; Zheng, X.; Rong, C.; Lu, B.; Huang, B. Sensitive and renewable quartz crystal microbalance humidity sensor based on nitrocellulose nanocrystals. Sens. Actuators B Chem. 2021, 327, 128944. [Google Scholar] [CrossRef]
  109. Yao, Y.; Huang, X.H.; Chen, Q.; Zhang, Z.; Ling, W.W. High sensitivity and high stability QCM humidity sensors based on polydopamine coated cellulose nanocrystals/graphene oxide nanocomposite. Nanomaterials 2020, 10, 2210. [Google Scholar] [CrossRef] [PubMed]
  110. Wang, J.L.; Guo, Y.J.; Li, D.J.; Long, G.D.; Tang, Q.B. Bacterial cellulose coated ST-cut quartz surface acoustic wave humidity sensor with high sensitivity, fast response and recovery. Smart Mater. Struct. 2020, 29, 045037. [Google Scholar] [CrossRef]
  111. Zheng, Z.; Tang, C.X.; Yeow, J.T.W. A high-performance CMUT humidity sensor based on cellulose nanocrystal sensing film. Sens. Actuators B Chem. 2020, 320, 128596. [Google Scholar] [CrossRef]
  112. Hu, W.; Chen, S.; Zhou, B.; Liu, L.; Ding, B.; Wang, H. Highly stable and sensitive humidity sensors based on quartz crystal microbalance coated with bacterial cellulose membrane. Sens. Actuators B Chem. 2011, 159, 301–306. [Google Scholar] [CrossRef]
  113. Pawar, D.; Kale, S.N. A review on nanomaterial-modified optical fiber sensors for gases, vapors and ions. Microchim. Acta 2019, 186, 253. [Google Scholar] [CrossRef]
  114. Lokman, A.; Nodehi, S.; Batumalay, M.; Ahmad, H.A.; Harun, S.W. Optical fiber humidity sensor based on a tapered fiber with hydroxyethylcellulose/polyvinylidenefluoride composite. Microw. Opt. Technol. Let. 2013, 56, 380–382. [Google Scholar] [CrossRef]
  115. Muhammad, M.Z.; Lokman, A.; Batumalay, M.; Arof, H.; Ahmad, H.; Harun, W. Tapered fiber coated with hydroxyethyl cellulose/polyvinylidene fluoride composite for relative humidity sensor. Adv. Mater. Sci. Eng. 2013, 2013, 624314. [Google Scholar] [CrossRef]
  116. Ma, Q.; Ni, K.; Huang, R. A carboxy-methyl cellulose coated humidity sensor based on Mach-Zehnder interferometer with waist-enlarged bi-tapers. Opt. Fiber Technol. 2017, 33, 60–63. [Google Scholar] [CrossRef]
  117. Hu, S.; Wu, S.; Li, C.; Chen, R.; Forsberg, E.; He, S. SNR-enhanced temperature-insensitive microfiber humidity sensor based on upconversion nanoparticles and cellulose liquid crystal coating. Sens. Actuators B Chem. 2020, 305, 127517. [Google Scholar] [CrossRef]
  118. Li, J.; Zhang, J.; Sun, H.; Yang, Y.; Ye, Y.; Cui, J.; He, W.; Yong, X.; Xie, Y. An optical fiber sensor based on carboxymethyl cellulose/carbon nanotubes composite film for simultaneous measurement of relative humidity and temperature. Opt. Commun. 2020, 467, 125740. [Google Scholar] [CrossRef]
  119. Xu, W.; Huang, W.-B.; Huang, X.-G.; Yu, C.-Y. A simple fiber-optic humidity sensor based on extrinsic Fabry–Perot cavity constructed by cellulose acetate butyrate film. Opt. Fiber Technol. 2013, 19, 583–586. [Google Scholar] [CrossRef]
  120. Hokkanen, A.; Kapulainen, M.; Jaiswal, A.K.; Hynninen, V.; Nonappa; Ikkala, O.; Orelm, H. Cellulose optical fiber for sensing applications. Proc. SPIE 2022, 11953, 1195302. [Google Scholar] [CrossRef]
  121. Eyebe, G.A.; Bideau, B.; Boubekeur, N.; Loranger, E.; Domingue, F. Environmentally-friendly cellulose nanofibre sheets for humidity sensing in microwave frequencies. Sens. Actuators B Chem. 2017, 245, 484–492. [Google Scholar] [CrossRef]
  122. Eyebe, G.A.; Bideau, B.; Boubekeur, N.; Loranger, E.; Domingue, F. TEMPO-oxidized cellulose nanofibre (TOCN) films and composites with PVOH as sensitive dielectrics for microwave humidity sensing. Sens. Actuators B Chem. 2019, 291, 385–393. [Google Scholar] [CrossRef]
  123. Tanguy, N.R.; Moradpour, M.; Jain, M.C.; Ning Yan, N.; Zarifi, M.H. Exploring the Potential of Cellulose Nanofibrils for Humidity Sensing Using an Organic Microwave Resonator. In Proceedings of the 2021 IEEE Sensors Conference, Sydney, Australia, 31 October–3 November 2021. [Google Scholar] [CrossRef]
  124. Antti, R.; Hanhikorpi, M.; Bertuccelli, F.; Colonna, A.; Malik, W.; Ranasinghe, D.; Lopéz, T.S.; Yan, N.; Tavilampi, M. Sensor-Enabled RFID Tag Handbook; European Commission: Munich, Germany, 2008.
  125. Gao, J.; Sidén, J.; Nilsson, H.-E.; Gulliksson, M. Printed humidity sensor with memory functionality for passive RFID tags. IEEE Sens. J. 2013, 13, 1824–1834. [Google Scholar] [CrossRef]
  126. Kerry, J.; Butler, P. Smart Packaging Technologies for Fast Moving Consumer Goods; John Wiley and Sons, Ltd.: Chichester, UK, 2008. [Google Scholar]
  127. Yang, L.; Zhang, R.; Staiculescu, D.; Wong, C.; Tentzeris, M. A novel conformal RFID-enabled module utilizing inkjet-printed antennas and carbon nanotubes for gas-detection applications. IEEE Antennas Wirel. Propag. Lett. 2009, 8, 653–656. [Google Scholar] [CrossRef]
  128. Potyrailo, R.A.; Nagraj, N.; Tang, Z.; Mondello, F.J.; Surman, C.; Morris, W. Battery-free radio frequency identification (RFID) sensors for food quality and safety. J. Agric. Food Chem. 2012, 60, 8535–8543. [Google Scholar] [CrossRef]
  129. Yang, L.; Rida, A.; Vyas, R.; Tentzeris, M.M. RFID tag and RF structures on a paper substrate using inkjet-printing technology. IEEE Trans. Microw. Theory Tech. 2007, 55, 2894–2901. [Google Scholar] [CrossRef]
  130. Shao, B.; Amin, Y.; Chen, Q.; Liu, R.; Zheng, L.-R. Directly-printed packaging paper based chipless RFID tag with coplanar LC resonator. IEEE Antennas Wirel. Propag. Lett. 2013, 12, 325–328. [Google Scholar] [CrossRef]
  131. Virtanen, J.; Ukkonen, L.; Bjorninen, T.; Sydanheimo, L. Printed humidity sensor for UHF RFID systems. In Proceedings of the 2010 IEEE Sensors Applications Symposium (SAS), Limerick, Ireland, 23–25 February 2010; pp. 269–272. [Google Scholar] [CrossRef]
  132. Virtanen, J.; Ukkonen, L.; Bjorninen, T.; Elsherbeni, A.Z.; Sydänheimo, L. Inkjet-printed humidity sensor for passive UHF RFID systems. IEEE Trans. Instrum. Meas. 2011, 60, 2768–2777. [Google Scholar] [CrossRef]
  133. Feng, Y.; Xie, L.; Chen, Q.; Zheng, L.R. Low-cost printed chipless RFID humidity sensor tag for intelligent packaging. IEEE Sens. J. 2015, 15, 3201–3208. [Google Scholar] [CrossRef]
  134. Withayachumnankul, W.; Fumeaux, C.; Abbott, D. Compact electric-LC resonators for metamaterials. Opt. Express 2010, 18, 25912. [Google Scholar] [CrossRef]
  135. Quddious, A.; Yang, S.; Khan, M.M.; Tahir, F.A.; Shamim, A.; Salama, K.N.; Cheema, H.M. Disposable, Paper-based, inkjet-printed humidity and H2S gas sensor for passive sensing applications. Sensors 2016, 16, 2073. [Google Scholar] [CrossRef]
  136. Xie, M.-Z.; Wang, L.-F.; Dong, L.; Deng, W.-J.; Huang, Q.-A. Low cost paper-based LC wireless humidity sensors and distance-insensitive readout system. IEEE Sens. J. 2019, 19, 4717–4725. [Google Scholar] [CrossRef]
  137. Tan, E.L.; Ng, W.N.; Shao, R.; Pereles, B.D.; Ong, K.G. A wireless, passive sensor for quantifying packaged food quality. Sensors 2007, 7, 1747–1756. [Google Scholar] [CrossRef]
  138. Fraiwan, A.; Lee, H.; Choi, S. A paper-based cantilever array sensor: Monitoring volatile organic compounds with naked eye. Talanta 2016, 158, 57–62. [Google Scholar] [CrossRef]
  139. Tian, P.; Gao, X.; Wen, G.; Zhong, L.; Wang, Z.; Guo, Z. Novel fabrication of polymer/carbon nanotube composite coated Janus paper for humidity stress sensor. J. Colloid. Interface Sci. 2018, 532, 517–526. [Google Scholar] [CrossRef]
  140. Sansinena, J.M.; Gao, J.; Wang, H.L. High-performance, monolithic polyaniline electrochemical actuators. Adv. Funct. Mater. 2003, 13, 703–709. [Google Scholar] [CrossRef]
  141. Wang, M.; Tian, X.; Ras, R.H.A.; Ikkala, O. Sensitive humidity-driven reversible and bidirectional bending of nanocellulose thin films as bio-inspired actuation. Adv. Mater. Interfaces 2015, 2, 1500080. [Google Scholar] [CrossRef]
  142. Geissler, A.; Loyal, F.; Biesalski, M.; Zhang, K. Thermo-responsive superhydrophobic paper using nanostructured cellulose stearoyl ester. Cellulose 2014, 21, 357–366. [Google Scholar] [CrossRef]
  143. Zhang, K.; Geissler, A.; Standhardt, M.; Mehlhase, S.; Gallei, M.; Chen, L.; Thiele, C.M. Moisture-responsive films of cellulose stearoyl esters showing reversible shape transitions. Sci. Rep. 2015, 5, 11011. [Google Scholar] [CrossRef] [PubMed]
  144. Yang, B.; Bi, W.; Zhong, C.; Huang, M.; Ni, Y.; He, L.; Wu, C. Moisture-triggered actuator and detector with high-performance: Interface engineering of graphene oxide/ethyl cellulose. Sci. China Mater. 2018, 61, 1291–1296. [Google Scholar] [CrossRef]
  145. Wu, T.; Li, J.; Li, J.; Ye, S.; Wei, J.; Guo, J. A bio-inspired cellulose nanocrystal-based nanocomposite photonic film with hyper-reflection and humidity-responsive actuator properties. J. Mater. Chem. C 2016, 4, 9687–9696. [Google Scholar] [CrossRef]
  146. Li, Z.; Wang, J.; Dai, L.; Sun, X.; An, M.; Duan, C.; Li, J.; Ni, Y. Asymmetrically patterned cellulose nanofibers/graphene oxide composite film for humidity sensing and moist-induced electricity generation. ACS Appl. Mater. Interfaces 2020, 12, 55205–55214. [Google Scholar] [CrossRef]
  147. Zhou, P.; Chen, L.; Yao, L.; Weng, M.; Zhang, W. Humidity- and light-driven actuators based on carbon nanotube-coated paper and polymer composite. Nanoscale 2018, 10, 8422–8427. [Google Scholar] [CrossRef]
  148. Cao, J.; Zhou, Z.; Song, Q.; Chen, K.; Su, G.; Zhou, T.; Zheng, Z.; Lu, C.; Zhang, X. Ultrarobust Ti3C2Tx MXene-based soft actuators via bamboo-inspired mesoscale assembly of hybrid nanostructures. ACS Nano 2020, 14, 7055–7065. [Google Scholar] [CrossRef]
  149. Wu, M.; Sukyai, P.; Lv, D.; Zhang, F.; Wang, P.; Liu, C.; Li, B. Water and humidity-induced shape memory cellulose nanopaper with quick response, excellent wet strength and folding resistance. Chem. Eng. J. 2020, 392, 123673. [Google Scholar] [CrossRef]
  150. He, Y.; Zhang, M.; Zhang, N.; Zhu, D.; Huang, C.; Kang, L.; Zhou, X.; Hu, M.; Zhang, J. Paper-based ZnS:Cu alternating current electroluminescent devices for current humidity sensors with high–linearity and flexibility. Sensors 2019, 19, 4607. [Google Scholar] [CrossRef]
  151. Kim, J.-Y.; Park, S.H.; Jeong, T.; Bae, M.J.; Song, S.; Lee, J.; Han, I.T.; Jung, D.; Yu, S. Paper as a substrate for inorganic powder electroluminescence devices. IEEE Trans. Electron. Dev. 2010, 57, 1470–1474. [Google Scholar] [CrossRef]
  152. Blinn, B.G. Properties and uses of color change humidity indicators. In Humidity and Moisture: Principles and Methods of Measuring Humidity in Gases; Wexler, A., Ruskin, R.E., Eds.; Reinhold Publishing Corporation: New York, NY, USA, 1965; pp. 602–605. [Google Scholar]
  153. Katzin, L.I.; Ferraro, J.R. The system cobaltous chloride—Water—Acetone at 25°. J. Am. Chem. Soc. 1952, 74, 2752–2754. [Google Scholar] [CrossRef]
  154. Balköse, D.; Köktürk, U.; Yilmaz, H. A study of cobaltous chloride dispersion on the surface of the silica gel. Appl. Surf. Sci. 1999, 147, 77–84. [Google Scholar] [CrossRef]
  155. Boltinghouse, F.; Abel, K. Development of an optical relative humidity sensor. Cobalt chloride optical absorbency sensor study. Anal. Chem. 1989, 61, 1863–1866. [Google Scholar] [CrossRef]
  156. Spomer, L.A.; Tibbits, T.W. Humidity. In Plant Growth Chamber Handbook; Langhans, R.W., Tibbits, T.W., Eds.; Iowa State University of Science and Technology: Ames, IA, USA, 1997; pp. 43–64. [Google Scholar]
  157. Moreton, S. Silica gel impregnated with iron(III) salts: A safe humidity indicator. Mater. Res. Innov. 2002, 5, 226–229. [Google Scholar] [CrossRef]
  158. Matsushima, R.; Nishimura, N.; Goto, K.; Kohno, Y. Vapochromism of ionic dyes in thin films of sugar gels. J. Bull. Chem. Soc. Jpn. 2003, 76, 1279–1283. [Google Scholar] [CrossRef]
  159. Matsushima, R.; Atsushi, O.; Fujimoto, S. Thermochromic properties of flavylium salts in agar-gel matrix. Chem. Lett. 2000, 6, 590–591. [Google Scholar] [CrossRef]
  160. Matsushima, R.; Ogiue, A.; Kohno, Y. Humidity-sensitive color changes of ionic dyes in solid thin film of sugar gel. Chem. Lett. 2002, 4, 436–437. [Google Scholar] [CrossRef]
  161. Carmona, N.; Herrero, E.; Llopis, J.; Villegas, M.A. Chemical sol-gel-based sensors for evaluation of environmental humidity. Sens. Actuators B Chem. 2006, 126, 455–460. [Google Scholar] [CrossRef]
  162. Fueda, Y.; Matsumoto, J.; Shiragami, T.; Nobuhara, K.; Yasuda, M. Porphyrin/MgCl2/silica gel composite as a cobalt-free humidity indicator. Chem. Lett. 2007, 36, 1246–1247. [Google Scholar] [CrossRef]
  163. Mackenzie, K.; O’Leary, B. Inorganic polymers (geopolymers) containing acid-base indicators as possible colour-change humidity indicators. Mater. Lett. 2008, 63, 230–232. [Google Scholar] [CrossRef]
  164. Mills, A.; Grosshans, P.; Hazafy, D. A novel reversible relative-humidity indicator ink based on methylene blue and urea. Analyst 2010, 135, 33–35. [Google Scholar] [CrossRef] [PubMed]
  165. Mills, A.; Hawthorne, D.; Burns, L.; Hazafy, D. Novel temperature-activated humidity-sensitive optical sensor. Sens. Actuators B Chem. 2017, 240, 1009–1015. [Google Scholar] [CrossRef]
  166. Zhang, Y.P.; Chodavarapu, V.P.; Kirk, A.G.; Andrews, M.P. Structured color humidity indicator from reversible pitch tuning in self-assembled nanocrystalline cellulose films. Sens. Actuators B Chem. 2013, 176, 692–697. [Google Scholar] [CrossRef]
  167. Kunzelman, J.; Crenshaw, B.R.; Weder, C. Self-assembly of chromogenic dyes—A new mechanism for humidity sensors. J. Mater. Chem. 2007, 17, 2989–2991. [Google Scholar] [CrossRef]
  168. Zhao, G.; Zhang, Y.; Zhai, S.; Sugiyama, J.; Pan, M.; Shi, J.; Lu, H. Dual response of photonic films with chiral nematic cellulose nanocrystals: Humidity and formaldehyde. ACS Appl. Mater. Interfaces 2020, 12, 17833–17844. [Google Scholar] [CrossRef]
  169. Bumbudsanpharoke, N.; Lee, W.; Chung, U.; Ko, S. Study of humidity-responsive behavior in chiral nematic cellulose nanocrystal films for colorimetric response. Cellulose 2018, 25, 305–317. [Google Scholar] [CrossRef]
  170. Yao, K.; Meng, Q.; Bulone, V.; Zhou, Q. Flexible and responsive chiral nematic cellulose nanocrystal/poly(ethylene glycol) composite films with uniform and tunable structural color. Adv. Mater. 2017, 29, 1701323. [Google Scholar] [CrossRef]
  171. Chen, H.; Hoi, A.; Zheng, C.; Tang, J.; Xie, K.; Gao, A. Light- and humidity-responsive chiral nematic photonic crystal films based on cellulose nanocrystals. ACS Appl. Mater. Interfaces 2020, 12, 24505–24511. [Google Scholar] [CrossRef]
  172. He, Y.-D.; Zhang, Z.-L.; Xue, J.; Wang, X.-H.; Song, F.; Wang, X.-L.; Zhu, L.-L.; Wang, Y.-Z. Biomimetic optical cellulose nanocrystal films with controllable iridescent color and environmental stimuli-responsive chromism. ACS Appl. Mater. Interfaces 2018, 10, 5805–5811. [Google Scholar] [CrossRef]
  173. Xu, M.; Li, W.; Ma, C.; Yu, H.; Wu, Y.; Wang, Y.; Chen, Z.; Li, J.; Liu, S. Multifunctional chiral nematic cellulose nanocrystals/glycerol structural colored nanocomposites for intelligent responsive films, photonic inks and iridescent coatings. J. Mater. Chem. C 2018, 6, 5391–5400. [Google Scholar] [CrossRef]
  174. Meng, Y.; Cao, Y.; Ji, H.; Chen, J.; He, Z.; Long, Z.; Dong, C. Fabrication of environmental humidity-responsive iridescent films with cellulose nanocrystal/polyols. Carbohydr. Polym. 2020, 240, 116281. [Google Scholar] [CrossRef] [PubMed]
  175. Lu, T.; Pan, H.; Ma, J.; Li, Y.; Bokhari, S.W.; Jiang, X.; Zhu, S.; Zhang, D. Cellulose nanocrystals/polyacrylamide composites of high sensitivity and cycling performance to gauge humidity. ACS Appl. Mater. Interfaces 2017, 9, 18231–18237. [Google Scholar] [CrossRef] [PubMed]
  176. Sun, C.; Zhu, D.; Jia, H.; Lei, K.; Zheng, Z.; Wang, X. Humidity and heat dual response cellulose nanocrystals/poly(N-Isopropylacrylamide) composite films with cyclic performance. ACS Appl. Mater. Interfaces 2019, 11, 39192–39200. [Google Scholar] [CrossRef]
  177. Sui, Y.; Li, X.; Chang, W.; Wan, H.; Li, W.; Yang, F.; Yu, Z.-Z. Multi-responsive nanocomposite membranes of cellulose nanocrystals and poly(N-isopropyl acrylamide) with tunable chiral nematic structures. Carbohydr. Polym. 2020, 232, 115778. [Google Scholar] [CrossRef]
  178. Bumbudsanpharoke, N.; Kwon, S.; Lee, W.; Ko, S. Optical response of photonic cellulose nanocrystal film for a novel humidity indicator. Intern. J. Biol. Macromol. 2019, 140, 91–97. [Google Scholar] [CrossRef]
  179. Zhang, Y.; Tian, Z.; Fu, Y.; Wang, Z.; Qin, M.; Yuan, Z. Responsive and patterned cellulose nanocrystal films modified by N-methylmorpholine-N-oxide. Carbohydr. Polym. 2020, 228, 115387. [Google Scholar] [CrossRef]
  180. Koroleva, M.S.; Tracey, C.; Sidunets, Y.A.; Torlopov, M.A.; Mikhaylov, V.I.; Krivoshapkin, P.V.; Martakov, I.S.; Krivoshapkina, E.F. Environmentally friendly Au@CNC hybrid systems as prospective humidity sensors. RSC Adv. 2020, 10, 35031–35038. [Google Scholar] [CrossRef]
  181. Dong, Z.; Zhang, N.; Wang, Y.; Wu, J.; Gan, Q.; Li, W. Photo-patternable nanolayered polymeric films with fast tunable color responses triggered by humidity. Adv. Mater. 2019, 29, 1904453. [Google Scholar] [CrossRef]
  182. Zhang, Y.; Zhang, L.; Cui, K.; Ge, S.; Cheng, X.; Yan, M.; Yu, J.; Liu, H. Flexible electronics based on micro/nanostructured paper. Adv. Mater. 2018, 30, 1801588. [Google Scholar] [CrossRef]
  183. Tai, H.; Duan, Z.; Wang, Y.; Wang, S.; Jiang, Y. Paper-based sensors for gas, humidity, and strain detections: A review. ACS Appl. Mater. Interfaces 2020, 12, 31037–31053. [Google Scholar] [CrossRef] [PubMed]
  184. Lu, Y.; Yang, G.; Shen, Y.; Yang, H.; Xu, K. Multifunctional flexible humidity sensor systems towards noncontact wearable electronics. Nano-Micro Lett. 2022, 14, 150. [Google Scholar] [CrossRef] [PubMed]
  185. Su, Y.; Chen, G.; Chen, C.; Gong, Q.; Xie, G.; Yao, M.; Tai, H.; Jiang, Y.; Chen, J. Self-powered respiration monitoring enabled by a triboelectric nanogenerator. Adv. Mater. 2021, 33, 2101262. [Google Scholar] [CrossRef] [PubMed]
  186. Zhang, H.; Xia, C.; Feng, G.; Fang, J. Hospitals and laboratories on paper-based sensors: A mini review. Sensors 2021, 21, 5998. [Google Scholar] [CrossRef]
  187. Barhoum, A.; Samyn, P.; Öhlund, T.; Dufresne, A. Review of recent research on flexible multifunctional nanopapers. Nanoscale 2017, 9, 15181–15205. [Google Scholar] [CrossRef]
  188. Zhu, H.; Parvinian, S.; Preston, C.; Vaaland, O.; Ruan, Z.; Hu, L. Transparent nanopaper with tailored optical properties. Nanoscale 2013, 5, 3787–3792. [Google Scholar] [CrossRef]
  189. Zhang, J.; Feng, H.; Zao, W.; Ling, M.; Zhao, Y. Flexible superhydrophobic paper with a large and stable floating capacity. RSC Adv. 2014, 4, 48443–48448. [Google Scholar] [CrossRef]
  190. Knight, C.C.; Ip, F.; Zeng, C.; Zhang, C.; Wang, B. A highly efficient fire-retardant nanomaterial based on carbon nanotubes and magnesium hydroxide. Fire Mater. 2013, 37, 91–99. [Google Scholar] [CrossRef]
  191. Liu, F.; Song, S.; Xue, D.; Zhang, H. Folded structured graphene paper for high performance electrode materials. Adv. Mater. 2012, 24, 1089–1094. [Google Scholar] [CrossRef]
  192. Liu, H.; Qing, H.; Li, Z.; Han, Y.L.; Lin, M.; Yang, H.; Lie, A.; Lu, T.; Li, F.; Xu, F. Paper: A promising material for human-friendly functional wearable electronics. Mater. Sci. Eng. R. 2017, 112, 1–22. [Google Scholar] [CrossRef]
  193. Liana, D.D.; Raguse, B.; Gooding, J.J.; Chow, E. Recent advances in paper-based sensors. Sensors 2012, 12, 11505–11526. [Google Scholar] [CrossRef] [PubMed]
  194. Yao, Z.; Coatsworth, P.; Shi, X.; Zhi, J.; Hu, L.; Yan, R.; Guder, F.; Yu, H.-D. Paper-based sensors for diagnostics, human activity monitoring, food safety and environmental detection. Sens. Diagn. 2022, 1, 312–342. [Google Scholar] [CrossRef]
  195. Simonenko, N.P.; Fisenko, N.A.; Fedorov, F.S.; Simonenko, T.L.; Mokrushin, A.S.; Simonenko, E.P.; Korotcenkov, G.; Sysoev, V.V.; Sevastyanov, V.G.; Kuznetsov, N.T. Printing technologies as an emerging approach in gas sensors: Survey of literature. Sensors 2022, 22, 3473. [Google Scholar] [CrossRef] [PubMed]
  196. Duan, Z.; Yuan, Z.; Jiang, Y.; Yuan, L.; Tai, H. Amorphous carbon material of daily carbon ink: Emerging applications in pressure, strain, and humidity sensors. J. Mater. Chem. C, 2023; in press. [Google Scholar] [CrossRef]
  197. Henriksson, M.; Berglund, L.A.; Isaksson, P.; Lindstrom, T.; Nishino, T. Cellulose nanopaper structures of high toughness. Biomacromolecules 2008, 9, 1579–1585. [Google Scholar] [CrossRef] [PubMed]
  198. Afra, E.; Yousefi, H.; Hadilam, M.M.; Nishino, T. Comparative effect of mechanical beating and nanofibrillation of cellulose on paper properties made from bagasse and softwood pulps. Carbohydr. Polym. 2013, 97, 725–730. [Google Scholar] [CrossRef] [PubMed]
  199. Yousefi, H.; Faezipour, M.; Hedjazi, S.; Mousavi, M.M.; Azusa, Y.; Heidari, A.H. Comparative study of paper and nanopaper properties prepared from bacterial cellulose nanofibers and fibers/ground cellulose nanofibers of canola straw. Ind. Crops Prod. 2013, 43, 732–737. [Google Scholar] [CrossRef]
  200. Yousefi, H.; Azad, S.; Mashkour, M.; Khazaeian, A. Cellulose nanofiber board. Carbohydr. Polym. 2018, 187, 133–139. [Google Scholar] [CrossRef]
  201. Ostlund, S.; Niskanen, K. (Eds.) Mechanics of Paper Products; De. Gruyter: Berlin, Germany, 2011. [Google Scholar] [CrossRef]
  202. Zauscher, S.; Caulfield, D.F.; Nissan, A.H. The influence of water on the elastic modulus of paper. Tappi J. 1996, 79, 178–182. [Google Scholar]
  203. Korotcenkov, G. Black phosphorus–new nanostructured material for humidity sensors: Achievements and limitations. Sensors 2019, 19, 1010. [Google Scholar] [CrossRef]
  204. Feng, Y.; Gong, S.; Du, E.; Yu, K.; Ren, J.; Wang, Z.; Zhu, Z. TaS2 nanosheet-based ultrafast response and flexible humidity sensor for multifunctional applications. J. Mater. Chem. C 2019, 7, 9284–9292. [Google Scholar] [CrossRef]
  205. Zavabeti, A.; Jannat, A.; Zhong, L.; Haidry, A.A.; Yao, Z.; Ou, J.Z. Two-dimensional materials in large-areas: Synthesis, properties and applications. Nano-Micro Lett. 2020, 12, 1–34. [Google Scholar] [CrossRef] [PubMed]
  206. Tyagi, D.; Wang, H.; Huang, W.; Hu, L.; Tang, Y.; Guo, Z.; Ouyang, Z.; Zhang, H. Recent advances in two-dimensional materials-based sensing technology towards health and environmental applications. Nanoscale 2020, 12, 3535–3559. [Google Scholar] [CrossRef] [PubMed]
  207. Simonenko, E.P.; Simonenko, N.P.; Mokrushin, A.S.; Simonenko, T.L.; Gorobtsov, P.Y.; Nagornov, I.A.; Korotcenkov, G.; Sysoev, V.V.; Kuznetsov, N.T. Application of titanium carbide MXenes in chemiresistive gas sensors. Nanomaterials 2023, 13, 850. [Google Scholar] [CrossRef] [PubMed]
  208. Nassar, J.M.; Mishra, K.; Lau, K.; Aguirre-Pablo, A.A.; Hussain, M.M. Recyclable nonfunctionalized paper-based ultralow-cost wearable health monitoring system. Adv. Mater. Technol. 2017, 2, 1600228. [Google Scholar] [CrossRef]
  209. Cinti, S.; Moscone, D.; Arduini, F. Preparation of paper-based devices for reagentless electrochemical (bio)sensor strips. Nat. Protoc. 2019, 14, 2437–2451. [Google Scholar] [CrossRef] [PubMed]
  210. Liu, S.; Li, J.; Shi, X.; Gao, E.; Xu, Z.; Tang, H.; Tong, K.; Pei, Q.; Liang, J.; Chen, Y. Rollerball-pen-drawing technology for extremely foldable paper-based electronics. Adv. Electron. Mater. 2017, 3, 1700098. [Google Scholar] [CrossRef]
  211. Huang, G.-W.; Xiao, H.-M.; Fu, S.-Y. Paper-based silver-nanowire electronic circuits with outstanding electrical conductivity and extreme bending stability. Nanoscale 2014, 6, 8495–8502. [Google Scholar] [CrossRef]
  212. Hyun, W.J.; Park, O.O.; Chin, B.D. Foldable graphene electronic circuits based on paper substrates. Adv. Mater. 2013, 25, 4729–4734. [Google Scholar] [CrossRef]
  213. Kan, H.; Li, M.; Luo, J.; Zhang, B.; Liu, J.; Hu, Z.; Zhang, G.; Jiang, S.; Liu, H. PbS nanowires-on-paper sensors for room-temperature gas detection. IEEE Sens. J. 2018, 19, 846–851. [Google Scholar] [CrossRef]
  214. Guo, R.; Chen, J.; Yang, B.; Liu, L.; Su, L.; Shen, B.; Yan, X. In-plane micro-supercapacitors for an integrated device on one piece of paper. Adv. Funct. Mater. 2017, 27, 1702394. [Google Scholar] [CrossRef]
  215. Liu, H.; Xiang, H.; Wang, Y.; Li, Z.; Qian, L.; Li, P.; Ma, Y.; Zhou, H.; Huang, W. A flexible multimodal sensor that detects strain, humidity, temperature, and pressure with carbon black and reduced graphene oxide hierarchical composite on paper. ACS Appl. Mater. Interfaces 2019, 11, 40613–40619. [Google Scholar] [CrossRef] [PubMed]
  216. Wu, J.; Wu, Z.; Ding, H.; Wei, Y.; Yang, X.; Li, Z.; Yang, B.-R.; Liu, C.; Qiu, L.; Wang, X. Multifunctional and high-sensitive sensor capable of detecting humidity, temperature, and flow stimuli using an integrated microheater. ACS Appl. Mater. Interfaces 2019, 11, 43383. [Google Scholar] [CrossRef] [PubMed]
  217. Dinh, T.; Phan, H.-P.; Dao, D.V.; Woodfield, P.; Qamar, A.; Nguyen, N.-T. Graphite on paper as material for sensitive thermoresistive sensors. J. Mater. Chem. C 2015, 3, 8776–8779. [Google Scholar] [CrossRef]
  218. Gomathi, P.T.; Sahatiya, P.; Badhulika, S. Large-area, flexible broadband photodetector based on ZnS-MoS2 hybrid on paper substrate. Adv. Funct. Mater. 2017, 27, 1701611. [Google Scholar] [CrossRef]
  219. Tao, X.; Jia, H.; He, Y.; Liao, S.; Wang, Y. Ultrafast paper thermometers based on a green sensing ink. ACS Sens. 2017, 2, 449–454. [Google Scholar] [CrossRef]
  220. Bihar, E.; Wustoni, S.; Pappa, A.M.; Salama, K.N.; Baran, D.; Inal, S. A fully inkjet-printed disposable glucose sensor on paper. NPJ Flex. Electron. 2018, 2, 30. [Google Scholar] [CrossRef]
  221. Ding, R.; Krikstolaityte, V.; Lisak, G. Inorganic salt modified paper substrates utilized in paper based microfluidic sampling for potentiometric determination of heavy metals. Sens. Actuators B Chem. 2019, 290, 347–356. [Google Scholar] [CrossRef]
  222. Park, J.; Lee, Y.; Ha, M.; Cho, S.; Ko, H. Micro/nanostructured surfaces for self-powered and multifunctional electronic skins. J. Mater. Chem. B 2016, 4, 2999–3018. [Google Scholar] [CrossRef]
  223. Islam, T.; Uddin, Z.; Gangopadhyay, A. Temperature effect on capacitive humidity sensors and its compensation using artificial neural networks. Sens. Transducers 2015, 191, 126–134. [Google Scholar]
  224. Carvajal, S.A.; Sánchez, C.A. Temperature effect in the calibration of capacitive humidity sensors. Int. J. Metrol. Qual. Eng. 2018, 9, 9. [Google Scholar] [CrossRef]
  225. Nenov, T.; Ivanov, S. Linearization of characteristic of relative humidity sensor and compensation of temperature impact. Sens. Mater. 2007, 19, 95–106. [Google Scholar]
  226. Korotcenkov, G.; Cho, B.K. Engineering approaches to improvement operating characteristics of conductometric gas sensors. Part 2: Decrease of dissipated (consumable) power and improvement stability and reliability. Sens. Actuators B Chem. 2014, 198, 316–341. [Google Scholar] [CrossRef]
  227. Yang, W.; Li, W.; Lu, H.; Liu, J.; Zhang, T. Dynamic compensation method for humidity sensors based on temperature and humidity decoupling. Sensors 2022, 22, 7229. [Google Scholar] [CrossRef] [PubMed]
  228. Islam, T.; Pramanik, C.; Saha, H. Modelling, simulation and temperature compensation of porous polysilicon capacitive humidity sensor characteristic of relative humidity sensor using ANN techniques. Microelectron. Reliab. 2005, 45, 697–703. [Google Scholar] [CrossRef]
  229. Rivera, J.; Carrillo, M.; Chacón, M.; Herrera, G.; Bojorquez, G. Self-calibration and optimal response in intelligent sensors design based on artificial neural networks. Sensors 2007, 7, 1509–1529. [Google Scholar] [CrossRef]
  230. Khan, S.M.; Qaiser, N.; Hussain, M.M. In do-it-yourself (DIY) based flexible paper sensor based electronic system for pill health monitoring. In Proceedings of the 2018 International Flexible Electronics Technology Conference (IFETC), Ottawa, ON, Canada, 7−9 August, 2018; pp. 1–2. [Google Scholar] [CrossRef]
  231. Khan, S.M.; Nassar, J.M.; Hussain, M.M. Paper as a substrate and an active material in paper electronics. ACS Appl. Electron. Mater. 2021, 3, 30–52. [Google Scholar] [CrossRef]
  232. Khan, S.M.; Qaiser, N.; Shaikh, S.F.; Ding, L.J.; Hussain, M.M. Do-it-yourself integration of a paper sensor in a smart lid for medication adherence. Flexible Print. Electron. 2019, 4, 025001. [Google Scholar] [CrossRef]
  233. Valadares Romanholo, P.V.; Sgobbi, L.F.; Carrilho, E. Chapter One—Exploring paper as a substrate for electrochemical micro-devices. Comprehen. Anal. Chem. 2020, 89, 1–29. [Google Scholar] [CrossRef]
  234. Grau, G.; Kitsomboonloha, R.; Swisher, S.L.; Kang, H.; Subramanian, V. Printed transistors on paper: Towards smart consumer product packaging. Adv. Funct. Mater. 2014, 24, 5067–5074. [Google Scholar] [CrossRef]
  235. Liao, X.; Liao, Q.; Yan, X.; Liang, Q.; Si, H.; Li, M.; Wu, H.; Cao, S.; Zhang, Y. Flexible and highly sensitive strain sensors fabricated by pencil drawn for wearable monitor. Adv. Funct. Mater. 2015, 25, 2395–2401. [Google Scholar] [CrossRef]
  236. He, X.; Zi, Y.; Yu, H.; Zhang, S.L.; Wang, J.; Ding, W.; Zou, H.; Zhang, W.; Wang, Z.L.; Wang, Z.L. An ultrathin paper-based self-powered system for portable electronics and wireless human-machine interaction. Nano Energy 2017, 39, 328–336. [Google Scholar] [CrossRef]
  237. Liu, A.; Kovacik, P.; Peard, N.; Tian, W.; Goktas, H.; Lau, J.; Dunn, B.; Gleason, K.K. Monolithic flexible supercapacitors integrated into single sheets of paper and membrane via vapor printing. Adv. Mater. 2017, 29, 1606091. [Google Scholar] [CrossRef] [PubMed]
  238. Vicente, A.T.; Araujo, A.; Mendes, M.J.; Nunes, D.; Oliveira, M.J.; Sanchez-Sobrado, O.; Ferreira, M.P.; Agus, H.; Fortunato, E.; Martins, R. Multifunctional cellulose-paper for light harvesting and smart sensing applications. J. Mater. Chem. C 2018, 6, 3143–3181. [Google Scholar] [CrossRef]
  239. Carneiro, M.C.C.G.; Rodrigues, L.R.; Moreira, F.T.C.; Sales, M.G.F. Colorimetric paper-based sensors against cancer biomarkers. Sensors 2022, 22, 3221. [Google Scholar] [CrossRef]
  240. Liu, X.Y.; Mwangi, M.; Li, X.J.; O’Brien, M.; Whitesides, G.M. Paper-based piezoresistive MEMS sensors. Lab Chip 2011, 11, 2189–2196. [Google Scholar] [CrossRef]
  241. Ahmed, S.; Bui, M.-P.N.; Abbas, A. Paper-based chemical and biological sensors: Engineering aspects. Biosens. Bioelectron. 2016, 77, 249–263. [Google Scholar] [CrossRef]
  242. Casula, G.; Lai, S.; Matino, L.; Santoro, F.; Bonfiglio, A.; Cosseddu, P. Printed, low voltage, all organic transistors and complimentary circuits on paper substrate. Adv. Electron. Mater. 2010, 6, 1901027. [Google Scholar] [CrossRef]
  243. Deroco, P.B.; Wachholz, D., Jr.; Kubota, L.T. Paper-based wearable electrochemical sensors: A new generation of analytical devices. Electroanalysis 2023, 35, e202200177. [Google Scholar] [CrossRef]
  244. Ghasemi, F.; Fahimi-Kashani, N.; Bigdeli, A.; Alshatteri, A.; Abbasi-Moayed, S.; Al-Jaf, S.H.; Merry, M.Y.; Omer, K.M.; Hormozi-Nezhad, M.R. Paper-based optical nanosensors–A review. Anal. Chim. Acta 2023, 1238, 340640. [Google Scholar] [CrossRef]
  245. Song, Y.; Mukasa, D.; Zhang, H.; Gao, W. Self-powered wearable biosensors. Acc. Mater. Res. 2021, 2, 184–197. [Google Scholar] [CrossRef]
  246. Xu, C.; Song, Y.; Han, M.; Zhang, H. Portable and wearable self-powered systems based on emerging energy harvesting technology. Microsyst. Nanoeng. 2021, 7, 25. [Google Scholar] [CrossRef] [PubMed]
  247. Yao, B.; Zhang, J.; Kou, T.; Song, Y.; Liu, T.; Li, Y. Paper-based electrodes for flexible energy storage devices. Adv. Sci. 2017, 4, 1700107. [Google Scholar] [CrossRef] [PubMed]
  248. Guan, H.; Yang, R.; Li, W.; Tao, Y.; Chen, C.; Tai, H.; Su, Y.; Wang, Y.; Jiang, Y.; Li, W. Self-powered multifunctional flexible sensor for wearable biomonitoring. Sens. Actuators B Chem. 2023, 377, 132996. [Google Scholar] [CrossRef]
  249. Zhao, F.; Cheng, H.; Zhang, Z.; Jiang, L.; Qu, L. Direct power generation from a graphene oxide film under moisture. Adv. Mater. 2015, 27, 4351–4357. [Google Scholar] [CrossRef] [PubMed]
  250. Liu, X.; Gao, H.; Ward, J.E.; Liu, X.; Yin, B.; Fu, T.; Chen, J.; Lovley, D.R.; Yao, J. Power generation from ambient humidity using protein nanowires. Nature 2020, 578, 550–554. [Google Scholar] [CrossRef]
  251. Komazaki, Y.; Kanazawa, K.; Nobeshima, T.; Hirama, H.; Watanabe, Y.; Suemori, K.; Uemura, S. Energy harvesting by ambient humidity variation with continuous milliampere current output and energy storage. Sustain. Energy Fuels 2021, 5, 3570–3577. [Google Scholar] [CrossRef]
  252. Li, S.; Zhang, Y.; Liang, X.; Wang, H.; Lu, H.; Zhu, M.; Wang, H.; Mingchao Zhang, M.; Qiu, X.; Song, Y.; et al. Humidity-sensitive chemoelectric flexible sensors based on metal-air redox reaction for health management. Nat. Commun. 2022, 13, 5416. [Google Scholar] [CrossRef]
  253. Kan, Y.; Meng, J.; Guo, Y.; Li, X.; Gao, D. Humidity sensor based on cobalt chloride/cellulose filter-paper for respiration monitoring. J. Electroanal. Chem. 2021, 895, 115423. [Google Scholar] [CrossRef]
  254. Li, X.; Meng, J.; Guo, Y.; Li, X.; Li, M.; Gao, D. Preparation and performance of polypyrrole modified filter paper humidity sensor by in situ polymerization. Text. Res. J. 2023, 93, 1389–1400. [Google Scholar] [CrossRef]
  255. Fraiwan, A.; Choi, S. A stackable, two-chambered, paper-based microbial fuel cell. Biosens. Bioelectron. 2016, 83, 27–32. [Google Scholar] [CrossRef] [PubMed]
  256. Thom, N.K.; Yeung, K.; Pillion, M.B.; Phillips, S.T. “Fluidic batteries” as low-cost sources of power in paper-based microfluidic devices. Lab Chip 2012, 12, 1768–1770. [Google Scholar] [CrossRef] [PubMed]
  257. Rojas, J.P.; Conchouso, D.; Arevalo, A.; Singh, D.; Foulds, I.G.; Hussain, M.M. Paper-based origami flexible and foldable thermoelectric nanogenerator. Nano Energy 2017, 31, 296–301. [Google Scholar] [CrossRef]
  258. Hu, L.; Wu, H.; Cui, Y. Printed energy storage devices by integration of electrodes and separators into single sheets of paper. Appl. Phys. Lett. 2010, 96, 183502. [Google Scholar] [CrossRef]
  259. Yuan, L.; Xiao, X.; Ding, T.; Zhong, J.; Zhang, X.; Shen, Y.; Hu, B.; Huang, Y.; Zhou, J.; Wang, Z.L. Paper-based supercapacitors for self-powered nanosystems. Angew. Chem. Intern. Ed. 2012, 51, 4934–4938. [Google Scholar] [CrossRef]
  260. He, X.; Zou, H.; Geng, Z.; Wang, X.; Ding, W.; Hu, F.; Zi, Y.; Xu, C.; Zhang, S.L.; Yu, H.; et al. A hierarchically nanostructured cellulose fiber-based triboelectric nanogenerator for self-powered healthcare products. Adv. Fanct. Mater. 2018, 28, 1805540. [Google Scholar] [CrossRef]
  261. Shen, D.; Xiao, M.; Zou, G.; Liu, L.; Duley, W.W.; Zhou, Y.N. Self-powered wearable electronics based on moisture enabled electricity generation. Adv. Mater. 2018, 30, 1705925. [Google Scholar] [CrossRef]
  262. Shen, D.; Duley, W.W.; Peng, P.; Xiao, M.; Feng, J.; Liu, L.; Zou, G.; Zhou, Y.N. Moisture-enabled electricity generation: From physics and materials to self-powered applications. Adv. Mater. 2020, 32, 2003722. [Google Scholar] [CrossRef]
  263. Zhao, Q.; Jiang, Y.; Duan, Z.; Yuan, Z.; Zha, J.; Wu, Z.; Huang, Q.; Zhou, Z.; Li, H.; He, F.; et al. A Nb2CTx/sodium alginate-based composite film with neuron-like network for self-powered humidity sensing. Chem. Eng. J. 2022, 438, 135588. [Google Scholar] [CrossRef]
  264. Duan, Z.; Yuan, Z.; Jiang, Y.; Zhao, Q.; Huang, Q.; Zhang, Y.; Liu, B.; Tai, H. Power generation humidity sensor based on primary battery structure. Chem. Eng. J. 2022, 446, 136910. [Google Scholar] [CrossRef]
  265. Jiang, Y.; Duan, Z.; Fan, Z.; Yao, P.; Yuan, Z.; Jiang, Y.; Cao, Y.; Tai, H. Power generation humidity sensor based on NaCl/halloysite nanotubes for respiratory patterns monitoring. Chemical 2023, 380, 133396. [Google Scholar] [CrossRef]
  266. Hu, L.; Choi, J.W.; Yang, Y.; Jeong, S.; La Mantia, F.; Cui, L.-F.; Cui, Y. Highly conductive paper for energy-storage devices. Proc. Natl. Acad. Sci. USA 2009, 106, 21490–21494. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic illustration of the fabrication procedure for capacitive humidity-sensor laser ablated onto MP. Reprinted with permission from [24]. Copyright 2018: ACS.
Figure 1. Schematic illustration of the fabrication procedure for capacitive humidity-sensor laser ablated onto MP. Reprinted with permission from [24]. Copyright 2018: ACS.
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Figure 2. (a) Capacitance of the pencil-drawn paper-based sensor with relative humidity. Reprinted with permission from [26]. Copyright 2017: Wiley. (b) Response and recovery of parallel-plate capacitive humidity sensor. One plate in the capacitor is composed of a plane of copper tape, while the other plate is composed of an array of meshes. Reprinted from [21]; published 2022 by MDPI as open access. (c,d) Characteristics of humidity sensors fabricated using Nd:YAG laser ablation, (c) capacitance changes with relative humidity levels for the 2–85% RH range, and (d) close-up of capacitance changes with relative humidity in the range of 2–50%. By changing the electrode width, the number of electrodes (n) covering the effective sensory area of 8 × 8 mm2 was changed from n = 2 to n = 20 and n = 40. With the increase in the number of electrodes, the distance between them naturally decreased. These sensors are designated as IDE1, IDE2, and IDE3 respectively. It can be seen that a decrease in the distance between the electrodes leads to a significant increase in the sensory response to changes in humidity. Reprinted with permission from [24]. Copyright 2018: ACS.
Figure 2. (a) Capacitance of the pencil-drawn paper-based sensor with relative humidity. Reprinted with permission from [26]. Copyright 2017: Wiley. (b) Response and recovery of parallel-plate capacitive humidity sensor. One plate in the capacitor is composed of a plane of copper tape, while the other plate is composed of an array of meshes. Reprinted from [21]; published 2022 by MDPI as open access. (c,d) Characteristics of humidity sensors fabricated using Nd:YAG laser ablation, (c) capacitance changes with relative humidity levels for the 2–85% RH range, and (d) close-up of capacitance changes with relative humidity in the range of 2–50%. By changing the electrode width, the number of electrodes (n) covering the effective sensory area of 8 × 8 mm2 was changed from n = 2 to n = 20 and n = 40. With the increase in the number of electrodes, the distance between them naturally decreased. These sensors are designated as IDE1, IDE2, and IDE3 respectively. It can be seen that a decrease in the distance between the electrodes leads to a significant increase in the sensory response to changes in humidity. Reprinted with permission from [24]. Copyright 2018: ACS.
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Figure 3. (a) Dynamic response of pencil-drawn PB sensor at 68% RH. (b) The breathing pattern of a subject under testing, measured in terms of capacitance as a function of time with normal breathing, deep breathing, pause in breathing, and random breathing. By interfacing the sensor with the microcontroller, the capacitance data were acquired and transferred to a smartphone through Bluetooth communication. Reprinted with permission from [26]. Copyright 2017: Wiley.
Figure 3. (a) Dynamic response of pencil-drawn PB sensor at 68% RH. (b) The breathing pattern of a subject under testing, measured in terms of capacitance as a function of time with normal breathing, deep breathing, pause in breathing, and random breathing. By interfacing the sensor with the microcontroller, the capacitance data were acquired and transferred to a smartphone through Bluetooth communication. Reprinted with permission from [26]. Copyright 2017: Wiley.
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Figure 4. (a) Relative capacitance change (CR) with relative humidity change for pristine CNCs, CGO5, and CGO10 composite. (b) Humidity-hysteresis curve of the sensor for CGO10 composite. (c) Relative capacitance change with humidity at different temperatures. (d) Relative humidity change (% RH) and relative capacitance change with time. Reprinted with permission from [34]. Copyright 2016: Elsevier.
Figure 4. (a) Relative capacitance change (CR) with relative humidity change for pristine CNCs, CGO5, and CGO10 composite. (b) Humidity-hysteresis curve of the sensor for CGO10 composite. (c) Relative capacitance change with humidity at different temperatures. (d) Relative humidity change (% RH) and relative capacitance change with time. Reprinted with permission from [34]. Copyright 2016: Elsevier.
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Figure 5. (a) A photograph showing a spray-coated PSi layer on flexographically printed silver electrodes. (b) Relative capacitive response of paper-based sensor to changes in RH concentration, showing that when the thickness of the sensing layer is suitably thick, the signal from the sensing layer is clearly stronger than the signal from the substrate. Reprinted from [35]. Published 2015 by Hindawi as open access.
Figure 5. (a) A photograph showing a spray-coated PSi layer on flexographically printed silver electrodes. (b) Relative capacitive response of paper-based sensor to changes in RH concentration, showing that when the thickness of the sensing layer is suitably thick, the signal from the sensing layer is clearly stronger than the signal from the substrate. Reprinted from [35]. Published 2015 by Hindawi as open access.
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Figure 6. Process of fabrication of AAO-based humidity sensor. Reprinted with permission from [19]. Copyright 2015: Elsevier.
Figure 6. Process of fabrication of AAO-based humidity sensor. Reprinted with permission from [19]. Copyright 2015: Elsevier.
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Figure 7. (a) Sensitivity-hysteresis characteristics of AAO-based PB sensor with 100 V of applied voltage at 1 kHz. (b) Relative capacitance variation of sensor with AAO formed at 100 V measured at 1 kHz five times over a period of 2 weeks Reprinted with permission from [19]. Copyright 2015: Elsevier.
Figure 7. (a) Sensitivity-hysteresis characteristics of AAO-based PB sensor with 100 V of applied voltage at 1 kHz. (b) Relative capacitance variation of sensor with AAO formed at 100 V measured at 1 kHz five times over a period of 2 weeks Reprinted with permission from [19]. Copyright 2015: Elsevier.
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Figure 8. Humidity-sensing properties of the humidity sensor. (a) Dynamic-response-characteristic curves of the humidity sensor at different RH. (b) Current versus RH curves; the inset shows the linear fitting curve of current versus RH. (c) Response and recovery curves for three cycles. (d) Amplified response and recovery curve in the linear coordinate system. Reprinted with permission from [37]. Copyright 2019: ACS.
Figure 8. Humidity-sensing properties of the humidity sensor. (a) Dynamic-response-characteristic curves of the humidity sensor at different RH. (b) Current versus RH curves; the inset shows the linear fitting curve of current versus RH. (c) Response and recovery curves for three cycles. (d) Amplified response and recovery curve in the linear coordinate system. Reprinted with permission from [37]. Copyright 2019: ACS.
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Figure 9. (a) The resistance response of CKF in continuous adsorption and desorption measured in the 11.3~97.3 RH% range. (b) The resistance response of CKF under different humidity conditions over 5 weeks. Reprinted with permission from [47]. Copyright 2020: ACS.
Figure 9. (a) The resistance response of CKF in continuous adsorption and desorption measured in the 11.3~97.3 RH% range. (b) The resistance response of CKF under different humidity conditions over 5 weeks. Reprinted with permission from [47]. Copyright 2020: ACS.
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Figure 10. (a) Resistance and hysteresis versus relative humidity of TEMPO-oxidized cellulose-based sensors with electrodes formed using laser-irradiation powers of 3.2 W. All performance tests were conducted at room temperature. Reprinted with permission from [45]. Copyright 2022: RSC; (b) Comparison of the response times between the devices on the substrate of printing paper (80 grm−2) and photographic-quality glossy paper (200 grm−2) at RH levels of 20–70%. Reprinted from [41]. Published 2016 by Elsevier as open access.
Figure 10. (a) Resistance and hysteresis versus relative humidity of TEMPO-oxidized cellulose-based sensors with electrodes formed using laser-irradiation powers of 3.2 W. All performance tests were conducted at room temperature. Reprinted with permission from [45]. Copyright 2022: RSC; (b) Comparison of the response times between the devices on the substrate of printing paper (80 grm−2) and photographic-quality glossy paper (200 grm−2) at RH levels of 20–70%. Reprinted from [41]. Published 2016 by Elsevier as open access.
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Figure 11. (a) Resistance variations of PB humidity sensors with Ag or PEDOT:PSS contacts for different humidity levels. (b) The resistance as a function of RH% on logarithmic Y axis. The response can be described with an exponential decay function. Inset plot is the variation with respect to resistance under dry air. Reprinted with permission from [43]. Copyright 2020: Elsevier.
Figure 11. (a) Resistance variations of PB humidity sensors with Ag or PEDOT:PSS contacts for different humidity levels. (b) The resistance as a function of RH% on logarithmic Y axis. The response can be described with an exponential decay function. Inset plot is the variation with respect to resistance under dry air. Reprinted with permission from [43]. Copyright 2020: Elsevier.
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Figure 12. Graph showing the change in resistance over time when sensors of Type B printed on HP Advanced Photo Paper are exposed to 30%, 60%, 80%, and 90% relative humidity at room temperature. It can be seen that the resistance of the sensor based on Canon PT-101 photo paper remains practically unchanged under similar conditions. Data extracted from [18].
Figure 12. Graph showing the change in resistance over time when sensors of Type B printed on HP Advanced Photo Paper are exposed to 30%, 60%, 80%, and 90% relative humidity at room temperature. It can be seen that the resistance of the sensor based on Canon PT-101 photo paper remains practically unchanged under similar conditions. Data extracted from [18].
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Figure 13. (a) Response curves of three humidity sensors with different electrode distances, 0.5, 1, and 2 mm. Reprinted with permission from [37]. Copyright 2019: ACS. (b) Percentage change in resistive values of the sensor under different bending conditions (R varied from 4 cm to 2 cm). Reprinted from [46]. Published 2023 by IOP as open access.
Figure 13. (a) Response curves of three humidity sensors with different electrode distances, 0.5, 1, and 2 mm. Reprinted with permission from [37]. Copyright 2019: ACS. (b) Percentage change in resistive values of the sensor under different bending conditions (R varied from 4 cm to 2 cm). Reprinted from [46]. Published 2023 by IOP as open access.
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Figure 14. (a) Sheet resistance of filter paper with different amounts of SWCNT. The process of fabrication of SWCNT on paper substrate combines its dispersion in isopropyl alcohol (IPA) and vacuum filtration. Inset shows the schematic diagram of the sensing-device structure (chemiresistor) realized on paper (substrate) using SWCNT (sensing material) and silver paste (contact). Reprinted with permission from [66]. Copyright 2015: Elsevier. (b) Variation in electrical properties of paper with different levels of graphene nanoplatelet (GNP) loading during vacuum filtration. Reprinted with permission from [61]. Copyright 2020: Elsevier.
Figure 14. (a) Sheet resistance of filter paper with different amounts of SWCNT. The process of fabrication of SWCNT on paper substrate combines its dispersion in isopropyl alcohol (IPA) and vacuum filtration. Inset shows the schematic diagram of the sensing-device structure (chemiresistor) realized on paper (substrate) using SWCNT (sensing material) and silver paste (contact). Reprinted with permission from [66]. Copyright 2015: Elsevier. (b) Variation in electrical properties of paper with different levels of graphene nanoplatelet (GNP) loading during vacuum filtration. Reprinted with permission from [61]. Copyright 2020: Elsevier.
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Figure 15. (a) Comparative analysis of humidity-sensing characteristics in range of ~35% RH–~90% RH on glossy paper, matt paper, and sylvicta substrates in terms of response/recovery times. (b) Influence of the thickness of graphene–carbon layer on the kinetics of sensor response: Sensor 1—thickness 10 µm; Sensor 2—15 µm; Sensor 3—23 µm. Reprinted with permission from [63]. Copyright 2023: Elsevier.
Figure 15. (a) Comparative analysis of humidity-sensing characteristics in range of ~35% RH–~90% RH on glossy paper, matt paper, and sylvicta substrates in terms of response/recovery times. (b) Influence of the thickness of graphene–carbon layer on the kinetics of sensor response: Sensor 1—thickness 10 µm; Sensor 2—15 µm; Sensor 3—23 µm. Reprinted with permission from [63]. Copyright 2023: Elsevier.
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Figure 16. Dynamic-sensing response vs. RH relationship of sensors based on multi-walled carbon nanotubes (o-MWCNTs) with (a) different oxidation levels and (b) various types of paper substrate. The duration was 300 s for each adsorption or desorption process, and the overlay curves were tested by three sensors fabricated under the same conditions. The p—printing paper, w—weighing paper, and c—cardboard. The 50/70/90 stands for the treatment temperature of MWCNTs during oxidization process. Reprinted with permission from [51]. Copyright 2017: ACS.
Figure 16. Dynamic-sensing response vs. RH relationship of sensors based on multi-walled carbon nanotubes (o-MWCNTs) with (a) different oxidation levels and (b) various types of paper substrate. The duration was 300 s for each adsorption or desorption process, and the overlay curves were tested by three sensors fabricated under the same conditions. The p—printing paper, w—weighing paper, and c—cardboard. The 50/70/90 stands for the treatment temperature of MWCNTs during oxidization process. Reprinted with permission from [51]. Copyright 2017: ACS.
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Figure 17. Characterization of humidity-sensitivity performance of the TOCF/CNT-based paper sensors. (a) Dynamic-response and -recovery curves of the paper sensors with various TOCF-to-CNT ratios, between 11% and 29, 43, 57, 75, and 95% RH. TC01—TOCF/CNT ratio = 10:1, TC02—15:1, TC03—20:1, TC04—25:1, and TC05—30:1. (b) Dynamic-response and -recovery curves of TC04 after folding for different numbers of times. The inset illustrates the folding treatment. Reprinted with permission from [55]. Copyright 2021: Elsevier.
Figure 17. Characterization of humidity-sensitivity performance of the TOCF/CNT-based paper sensors. (a) Dynamic-response and -recovery curves of the paper sensors with various TOCF-to-CNT ratios, between 11% and 29, 43, 57, 75, and 95% RH. TC01—TOCF/CNT ratio = 10:1, TC02—15:1, TC03—20:1, TC04—25:1, and TC05—30:1. (b) Dynamic-response and -recovery curves of TC04 after folding for different numbers of times. The inset illustrates the folding treatment. Reprinted with permission from [55]. Copyright 2021: Elsevier.
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Figure 18. Performance of CGN-based humidity sensors. (a) Response and recovery curves of D-CGN-based sensor. (b) Response and recovery curves of V-CGN-based sensor. (c) Responses of D-CGN- and V-CGN-based sensors. (d) Durability and repeatability of the sensor for 100 bending cycles. Reprinted with permission from [61]. Copyright 2020: Elsevier.
Figure 18. Performance of CGN-based humidity sensors. (a) Response and recovery curves of D-CGN-based sensor. (b) Response and recovery curves of V-CGN-based sensor. (c) Responses of D-CGN- and V-CGN-based sensors. (d) Durability and repeatability of the sensor for 100 bending cycles. Reprinted with permission from [61]. Copyright 2020: Elsevier.
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Figure 19. Ratio of electrical resistance to RH levels of 20–70% for various numbers of coatings on the (a) 80-grm−2 and (b) the 200-grm−2 paper substrate. Reprinted from [41]. Published 2016 by Elsevier as open access.
Figure 19. Ratio of electrical resistance to RH levels of 20–70% for various numbers of coatings on the (a) 80-grm−2 and (b) the 200-grm−2 paper substrate. Reprinted from [41]. Published 2016 by Elsevier as open access.
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Figure 20. (a) Dependence of relative changes in the resistance of the CdS-based sensor fabricated on filter paper with Ag electrodes on the RH. The CdS layer had a thickness ~10–15 µm. (b) The variation in the electrical conductivity with the flow rate of humid gas (FR). Reprinted with permission from [73]. Copyright 2019: Elsevier.
Figure 20. (a) Dependence of relative changes in the resistance of the CdS-based sensor fabricated on filter paper with Ag electrodes on the RH. The CdS layer had a thickness ~10–15 µm. (b) The variation in the electrical conductivity with the flow rate of humid gas (FR). Reprinted with permission from [73]. Copyright 2019: Elsevier.
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Figure 21. This figure shows fabrication steps (i–iii) of the sensor, along with the FESEM image of the paper surface, TEM image of the CdS NPs, a cross-sectional schematic diagram, along with a photographic image of the sensor, and a FESEM image of the paper embedded with CdS NPs. The scale bar in the sensor image measures 1.5 mm. Reprinted with permission from [73]. Copyright 2019: Elsevier.
Figure 21. This figure shows fabrication steps (i–iii) of the sensor, along with the FESEM image of the paper surface, TEM image of the CdS NPs, a cross-sectional schematic diagram, along with a photographic image of the sensor, and a FESEM image of the paper embedded with CdS NPs. The scale bar in the sensor image measures 1.5 mm. Reprinted with permission from [73]. Copyright 2019: Elsevier.
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Figure 22. (a) Resistance of an all-painted humidity sensor as a function of RH. Open and filled marks represent measurements of increasing and decreasing humidity, respectively. (b) Current response to humidity change in the SiO2 NP films on cellulose-acetate substrate. Colored region indicates that the films are in 84% RH. 1—uncoated SiO2 NP films; 2—SiO2 NP films covered by tape. A bias voltage (10 V) was applied to device. Reprinted with permission from [72]. Copyright 2018: ACS.
Figure 22. (a) Resistance of an all-painted humidity sensor as a function of RH. Open and filled marks represent measurements of increasing and decreasing humidity, respectively. (b) Current response to humidity change in the SiO2 NP films on cellulose-acetate substrate. Colored region indicates that the films are in 84% RH. 1—uncoated SiO2 NP films; 2—SiO2 NP films covered by tape. A bias voltage (10 V) was applied to device. Reprinted with permission from [72]. Copyright 2018: ACS.
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Figure 23. Resistance versus % RH-response characteristics of the (1) pNf PANI- and (2,3) Ng PANI-paper composite-based humidity sensors. Data extracted from [82].
Figure 23. Resistance versus % RH-response characteristics of the (1) pNf PANI- and (2,3) Ng PANI-paper composite-based humidity sensors. Data extracted from [82].
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Figure 24. (a) Schematic diagram of the process of preparing cellulose–PANI composite. Reprinted with permission from [93]. Copyright 2009: Elsevier. (b) Change in resistance of PANI–cellulose with humidity. Reprinted from [78]. Published 2012 by IJEMS as open access. (c) Humidity-hysteresis-characteristic curve of cellulose–PANI evaluated in a climate chamber (U = 0.1 V, T = 21 °C). The experiments (n = 3) were carried out in a climate chamber with a volume of 111,000 cm3 volume, in air, by applying a bias voltage of 0.100 V at stable temperature of 21 °C. Reprinted with permission from [79]. Copyright 2022: RSC.
Figure 24. (a) Schematic diagram of the process of preparing cellulose–PANI composite. Reprinted with permission from [93]. Copyright 2009: Elsevier. (b) Change in resistance of PANI–cellulose with humidity. Reprinted from [78]. Published 2012 by IJEMS as open access. (c) Humidity-hysteresis-characteristic curve of cellulose–PANI evaluated in a climate chamber (U = 0.1 V, T = 21 °C). The experiments (n = 3) were carried out in a climate chamber with a volume of 111,000 cm3 volume, in air, by applying a bias voltage of 0.100 V at stable temperature of 21 °C. Reprinted with permission from [79]. Copyright 2022: RSC.
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Figure 25. (a) Response of the PANI–SLS-X-coated paper sensor as a function of relative humidity. Concentration of SLS changed from 0.0 to 0.75 g. Reprinted with permission from [80]. Copyright 2022: RSC. (b) The reversible response of the PPy-based device obtained by alternating RH between two levels (3.6 and 73%). Reprinted with permission from [84]. Copyright 2018: ACS.
Figure 25. (a) Response of the PANI–SLS-X-coated paper sensor as a function of relative humidity. Concentration of SLS changed from 0.0 to 0.75 g. Reprinted with permission from [80]. Copyright 2022: RSC. (b) The reversible response of the PPy-based device obtained by alternating RH between two levels (3.6 and 73%). Reprinted with permission from [84]. Copyright 2018: ACS.
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Figure 26. (a) Resistance-response measurement of the PEDOT:PVMA sensor under switching RH. (b) Long-term stability of PEDOT:PVMA sensor exposed to 23%, 43%, and 75% RH. (c) The resistance of sensors with different folding times. (d) Influence of photo-dimerization on the stability of PEDOT:PVMA-film resistance during multiple folding. For these measurements, 50-layer PEDOT:PVMA sensors that were photo-dimerized for 6 h were prepared. Reprinted with permission from [83]. Copyright 2016: RSC.
Figure 26. (a) Resistance-response measurement of the PEDOT:PVMA sensor under switching RH. (b) Long-term stability of PEDOT:PVMA sensor exposed to 23%, 43%, and 75% RH. (c) The resistance of sensors with different folding times. (d) Influence of photo-dimerization on the stability of PEDOT:PVMA-film resistance during multiple folding. For these measurements, 50-layer PEDOT:PVMA sensors that were photo-dimerized for 6 h were prepared. Reprinted with permission from [83]. Copyright 2016: RSC.
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Figure 27. (a) Cole–Cole plots for doped PANI printed on bond paper with ten printings for three different values of RH%. Reprinted with permission from [77]. Copyright 2012: Elsevier. (b) The impedance modulus vs. RH curves of PILs@Paper5 sensors with pencil-trace electrodes measured under different frequencies. Reprinted with permission from [98]. Copyright 2021: Elsevier.
Figure 27. (a) Cole–Cole plots for doped PANI printed on bond paper with ten printings for three different values of RH%. Reprinted with permission from [77]. Copyright 2012: Elsevier. (b) The impedance modulus vs. RH curves of PILs@Paper5 sensors with pencil-trace electrodes measured under different frequencies. Reprinted with permission from [98]. Copyright 2021: Elsevier.
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Figure 28. (a) Impedance modulus–RH curves of the blank paper and PE-1–PE-4 sensors. (b) Response and recovery curves of the blank-paper and PE-1–PE-4 sensors between 11% and 95% RH. Sensors were prepared by changing the reaction amount of the EPTAC. The reaction ratios of EPTAC (NaOH solution with paper: EPTAC) were 0, 1:0.1, 1:0.2, 1:0.5, and 1:2. Sensors with different concentrations of EPTAC are designated as blank, PE-1, PE-2, PE-3, and PE-4. The sensors had Ag interdigitated electrodes. Reprinted with permission from [98]. Copyright 2021: Elsevier.
Figure 28. (a) Impedance modulus–RH curves of the blank paper and PE-1–PE-4 sensors. (b) Response and recovery curves of the blank-paper and PE-1–PE-4 sensors between 11% and 95% RH. Sensors were prepared by changing the reaction amount of the EPTAC. The reaction ratios of EPTAC (NaOH solution with paper: EPTAC) were 0, 1:0.1, 1:0.2, 1:0.5, and 1:2. Sensors with different concentrations of EPTAC are designated as blank, PE-1, PE-2, PE-3, and PE-4. The sensors had Ag interdigitated electrodes. Reprinted with permission from [98]. Copyright 2021: Elsevier.
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Figure 29. (a) Humidity hysteresis of CNC-based QCM humidity sensors. (b) Dynamic responses of CNC-based QCM humidity sensors. (c) Long-term stability of ‘3-5′ QCM humidity sensors. Reprinted with permission from [106]. Copyright 2020: Elsevier.
Figure 29. (a) Humidity hysteresis of CNC-based QCM humidity sensors. (b) Dynamic responses of CNC-based QCM humidity sensors. (c) Long-term stability of ‘3-5′ QCM humidity sensors. Reprinted with permission from [106]. Copyright 2020: Elsevier.
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Figure 30. (a) The wavelength-resonance changes with RH of CMC/CNT composite film. Reprinted with permission from [118]. Copyright 2020: Elsevier. (b) The transmitted light from the silica tapered fiber versus the relative humidity. It can be seen that the sensitivity of the sensor significantly increases when the tapered fiber is coated by the HEC/PVDF composite. Reprinted from [115]. Published 2013 by Hindawi as open access.
Figure 30. (a) The wavelength-resonance changes with RH of CMC/CNT composite film. Reprinted with permission from [118]. Copyright 2020: Elsevier. (b) The transmitted light from the silica tapered fiber versus the relative humidity. It can be seen that the sensitivity of the sensor significantly increases when the tapered fiber is coated by the HEC/PVDF composite. Reprinted from [115]. Published 2013 by Hindawi as open access.
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Figure 31. Resonant frequency of CNF films as a function of RH. The CNF 1, CNF 2, and CNF 3 correspond to samples of different sizes, increasing with sample number. Reprinted with permission from [121]. Copyright 2017: Elsevier.
Figure 31. Resonant frequency of CNF films as a function of RH. The CNF 1, CNF 2, and CNF 3 correspond to samples of different sizes, increasing with sample number. Reprinted with permission from [121]. Copyright 2017: Elsevier.
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Figure 32. (a) Typical RFID system consisting of reader, sensor tag, and data-processing server. (b) Operation principle of the chipless RFID humidity sensor based on frequency-spectrum signature.
Figure 32. (a) Typical RFID system consisting of reader, sensor tag, and data-processing server. (b) Operation principle of the chipless RFID humidity sensor based on frequency-spectrum signature.
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Figure 33. Schematic of the layout of a planar electric LC resonator. (a,b) A typical ELC resonator is composed of a central capacitive gap connected to two inductive loops. (c) An equivalent circuit of the resonator constitutes an LC resonator (the resistance is neglected here). Reprinted from [134]. Published 2020 by OSA as open access.
Figure 33. Schematic of the layout of a planar electric LC resonator. (a,b) A typical ELC resonator is composed of a central capacitive gap connected to two inductive loops. (c) An equivalent circuit of the resonator constitutes an LC resonator (the resistance is neglected here). Reprinted from [134]. Published 2020 by OSA as open access.
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Figure 34. Paper-based resistive humidity sensors: exploitation of substrate-resistivity variations via antenna detuning for a passive RFID sensor node. Reprinted from [135]. Published 2016 by MDPI as open access.
Figure 34. Paper-based resistive humidity sensors: exploitation of substrate-resistivity variations via antenna detuning for a passive RFID sensor node. Reprinted from [135]. Published 2016 by MDPI as open access.
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Figure 35. (a) Dependence of the curvature of patterned CNF/GO films (freshly prepared and stored for 120 days), as well as unpatterned ones, on humidity. (b) Cyclic-response performances of CNF/GO films during RH switching between 27.5 and 81.0%. Reprinted with permission from [146]. Copyright 2020: ACS.
Figure 35. (a) Dependence of the curvature of patterned CNF/GO films (freshly prepared and stored for 120 days), as well as unpatterned ones, on humidity. (b) Cyclic-response performances of CNF/GO films during RH switching between 27.5 and 81.0%. Reprinted with permission from [146]. Copyright 2020: ACS.
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Figure 36. (a) Folding-angle changes of tape-like CNP samples under various RH and (b) humidity response of M-DCNP sample. The WCNP and DCNP samples were prepared by vacuum filtration using CNFs produced by homogenization in deionized water (WCNFs) and by homogenization in dimethylacetamide (DCNFs), respectively. The DCNP and WCNP samples modified by chitosan (CS) are referred to as M-DCNP and M-WCNP, respectively. Reprinted with permission from [149]. Copyright 2020: Elsevier.
Figure 36. (a) Folding-angle changes of tape-like CNP samples under various RH and (b) humidity response of M-DCNP sample. The WCNP and DCNP samples were prepared by vacuum filtration using CNFs produced by homogenization in deionized water (WCNFs) and by homogenization in dimethylacetamide (DCNFs), respectively. The DCNP and WCNP samples modified by chitosan (CS) are referred to as M-DCNP and M-WCNP, respectively. Reprinted with permission from [149]. Copyright 2020: Elsevier.
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Figure 37. (a) Demonstration of paper-based VOC-sensor unit. A protractor and cantilever were patterned on paper. (b) Proposed paper-based VOC-sensor array with eight different swellable polymer matrices. Reprinted with permission from [138]. Copyright 2016: Elsevier.
Figure 37. (a) Demonstration of paper-based VOC-sensor unit. A protractor and cantilever were patterned on paper. (b) Proposed paper-based VOC-sensor array with eight different swellable polymer matrices. Reprinted with permission from [138]. Copyright 2016: Elsevier.
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Figure 38. (a) Flow chart for the fabrication of paper-based alternating-current electroluminescent devices (ACELs). (b) Schematic image of the device. Reprinted from [150]. Published 2019 by MDPI as open access.
Figure 38. (a) Flow chart for the fabrication of paper-based alternating-current electroluminescent devices (ACELs). (b) Schematic image of the device. Reprinted from [150]. Published 2019 by MDPI as open access.
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Figure 39. (a) The EL spectra of the device under different levels of relative humidity (32.5%, 63.6%, 83.6%) at room temperature. (b) Current versus time plot at different (%) RH levels (V = const). Reprinted from [150]. Published 2019 by MDPI as open access.
Figure 39. (a) The EL spectra of the device under different levels of relative humidity (32.5%, 63.6%, 83.6%) at room temperature. (b) Current versus time plot at different (%) RH levels (V = const). Reprinted from [150]. Published 2019 by MDPI as open access.
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Figure 40. Absorbed and complementary colors of white light. Reprinted with permission from [169]. Copyright 2018: Springer.
Figure 40. Absorbed and complementary colors of white light. Reprinted with permission from [169]. Copyright 2018: Springer.
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Figure 41. The correlations between film thickness, color, and relative humidity. (a) Thickness of a (CHI/CMC-N3)25 film at different humidity levels. (b) Comparison between experimental and model reflectance spectra of a (CHI/CMC-N3)25 film during desorption process. (c) Digital images of a (CHI/CMC-N3)25 film at different humidity levels. Reprinted with permission from [181]. Copyright 2019: Wiley.
Figure 41. The correlations between film thickness, color, and relative humidity. (a) Thickness of a (CHI/CMC-N3)25 film at different humidity levels. (b) Comparison between experimental and model reflectance spectra of a (CHI/CMC-N3)25 film during desorption process. (c) Digital images of a (CHI/CMC-N3)25 film at different humidity levels. Reprinted with permission from [181]. Copyright 2019: Wiley.
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Figure 42. (a) Plots of water-absorption versus soaking time of conventional (common) and superhydrophobic paper. Hydrophobic properties were imparted to common printing papers by applying superhydrophobic coatings based on a block copolymer of polystyrenepoly(methyl methacrylate) (PS-co-PMMA) and SiO2 NPs. Reprinted with permission from [189]. Copyright 2014: Royal Society of Chemistry. (b) Material-selection diagram: electrical conductivity plotted against Young’s modulus. Young’s modulus, as a symbol of the mechanical strength, and electrical conductivity, representing the electrically conductive property, are compared across a variety of paper materials. The diagram is helpful in providing design guidelines for the selection of substrate materials for the fabrication of paper-based devices. Reprinted with permission from [192]. Copyright 2017: Elsevier.
Figure 42. (a) Plots of water-absorption versus soaking time of conventional (common) and superhydrophobic paper. Hydrophobic properties were imparted to common printing papers by applying superhydrophobic coatings based on a block copolymer of polystyrenepoly(methyl methacrylate) (PS-co-PMMA) and SiO2 NPs. Reprinted with permission from [189]. Copyright 2014: Royal Society of Chemistry. (b) Material-selection diagram: electrical conductivity plotted against Young’s modulus. Young’s modulus, as a symbol of the mechanical strength, and electrical conductivity, representing the electrically conductive property, are compared across a variety of paper materials. The diagram is helpful in providing design guidelines for the selection of substrate materials for the fabrication of paper-based devices. Reprinted with permission from [192]. Copyright 2017: Elsevier.
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Figure 43. (a) Relative changes in resistance of AgNW-GO-, AgNW–PVP-, AgNP-, and AgMF-based electrodes drawn on paper substrates during 1000 repeated folding–unfolding cycles. (b) Schematic diagram illustrating the structure of the AgNW–GO-ink electrodes. Reprinted with permission from [210]. Copyright 2017: Wiley.
Figure 43. (a) Relative changes in resistance of AgNW-GO-, AgNW–PVP-, AgNP-, and AgMF-based electrodes drawn on paper substrates during 1000 repeated folding–unfolding cycles. (b) Schematic diagram illustrating the structure of the AgNW–GO-ink electrodes. Reprinted with permission from [210]. Copyright 2017: Wiley.
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Figure 44. Three-dimensionally stacked paper-based healthcare-monitoring system. Beginning from the top, layer (1) contains an active RFID tag printed on paper with a flexible Si-based radio chip for wireless data communication; layer (2) contains a printed power source; layer (3) contains the processing unit with a flexible Si-based microprocessor (µP); layer (4) contains sensor readout circuitry fully printed on paper; and layer (5) contains the sensor arrays. Reprinted with permission from [208]. Copyright 2017: Wiley.
Figure 44. Three-dimensionally stacked paper-based healthcare-monitoring system. Beginning from the top, layer (1) contains an active RFID tag printed on paper with a flexible Si-based radio chip for wireless data communication; layer (2) contains a printed power source; layer (3) contains the processing unit with a flexible Si-based microprocessor (µP); layer (4) contains sensor readout circuitry fully printed on paper; and layer (5) contains the sensor arrays. Reprinted with permission from [208]. Copyright 2017: Wiley.
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Figure 45. (a) Temperature influence on the capacitance of the inkjet-printed paper-based sensor at different humidity rates, for a fixed frequency of 100 kHz. Lumi silk (90 g/m2) from Stora Enso (Helsinki, Finland) was used as substrate material and Ag NPs were used for interdigitated electrodes. Reprinted from [22]. Published 2017 by MDPI as open access. (b) The effect of temperature on the readings of a capacitive humidity sensor based on aluminum oxide with and without compensation for temperature changes using the ANN method. Reprinted from [223]. Published 2015 by IFSA Publishing, S.L., as open access.
Figure 45. (a) Temperature influence on the capacitance of the inkjet-printed paper-based sensor at different humidity rates, for a fixed frequency of 100 kHz. Lumi silk (90 g/m2) from Stora Enso (Helsinki, Finland) was used as substrate material and Ag NPs were used for interdigitated electrodes. Reprinted from [22]. Published 2017 by MDPI as open access. (b) The effect of temperature on the readings of a capacitive humidity sensor based on aluminum oxide with and without compensation for temperature changes using the ANN method. Reprinted from [223]. Published 2015 by IFSA Publishing, S.L., as open access.
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Figure 46. (a) Sticker containing paper-based temperature and humidity sensor. Reprinted with permission from [231]. Copyright 2021: ACS. (b) Flexible electronic interface decal attached to a paper sensor decal in bent form, displayed in a hand (left photograph) and inside a prescription bottle (right photograph). Reprinted with permission from [232]. Copyright 2019: IOP.
Figure 46. (a) Sticker containing paper-based temperature and humidity sensor. Reprinted with permission from [231]. Copyright 2021: ACS. (b) Flexible electronic interface decal attached to a paper sensor decal in bent form, displayed in a hand (left photograph) and inside a prescription bottle (right photograph). Reprinted with permission from [232]. Copyright 2019: IOP.
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Figure 47. Typical mechanism of voltage generation from ambient humidity. A porous nanowire network charged in negative, separately charged ions. Thus, a charge imbalance is formed and a potential difference is generated by humidity. Reprinted from [13]. Published 2022 by MDPI as open access.
Figure 47. Typical mechanism of voltage generation from ambient humidity. A porous nanowire network charged in negative, separately charged ions. Thus, a charge imbalance is formed and a potential difference is generated by humidity. Reprinted from [13]. Published 2022 by MDPI as open access.
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Figure 48. Open-circuit-voltage response of CoCl2@FP humidity sensor. (a) Open-circuit voltages in response to increases in RH to 11, 33, 59, 75, and 98% for 1 min. (b) Open-circuit-voltage-stability response intercepted for 1 min in RH of 11, 33, 59, 75, and 98%. Reprinted with permission from [253]. Copyright 2021: Elsevier.
Figure 48. Open-circuit-voltage response of CoCl2@FP humidity sensor. (a) Open-circuit voltages in response to increases in RH to 11, 33, 59, 75, and 98% for 1 min. (b) Open-circuit-voltage-stability response intercepted for 1 min in RH of 11, 33, 59, 75, and 98%. Reprinted with permission from [253]. Copyright 2021: Elsevier.
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Figure 49. (a) The configuration of PB supercapacitors developed by Yuan et al. [259]. Reprinted with permission from [259]. Copyright 2012: Wiley. (b) The use of CNT nanopaper as a collector for LiMn2O4 nanorod cathode and Li4Ti5O12 nanopowder anode in Li-ion battery. Reprinted from [266]. Published 2009 by National Academy of Sciences as open access.
Figure 49. (a) The configuration of PB supercapacitors developed by Yuan et al. [259]. Reprinted with permission from [259]. Copyright 2012: Wiley. (b) The use of CNT nanopaper as a collector for LiMn2O4 nanorod cathode and Li4Ti5O12 nanopowder anode in Li-ion battery. Reprinted from [266]. Published 2009 by National Academy of Sciences as open access.
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Table 1. Summary of paper-based capacitance humidity sensors with paper sensing elements.
Table 1. Summary of paper-based capacitance humidity sensors with paper sensing elements.
Sensing
Material
ElectrodeRH Range (%)ResponseRes/Rec TimeRef.
Recycled paper, cardboard, food-packaging paperAg, screen printing35–80~3–6 (C/C0)N/A[17]
Paper (Lumi silk)Ag, inkjet printing40–100∼3.5 (C/C0);
2 pF/% RH (ΔC/ΔRH)
4/3 min[22]
Cellulose paperPencil drawing40–90~2 (C/C0)
4.5%/% RH
(ΔC/ΔRH)
2/7 s[25]
Cellulose paperPencil drawing31–90∼2.2 (C/C0);
0.06 pF/% RH
10/32 s[26]
Tissue paperCopper tape40–95~4 (C/C0);
11 pF/% RH
1.5/2.2 s[21]
Functionalized copy paperAg, gravure printings30–90~15 (C/C0);~1/~1 s[27]
Post-it-note paperAg ink pen10–950.18%/% RH1.2/2.3 s[28]
Functionalized p_e:smart paper type 2Ag, inkjet printing20–80~10 pF/% RH
~10 (C/C0)
Long response[16]
Metallized papersAl, laser ablation2–600.1 pF/% RH
~1.5 (C/C0)
260/20 s[18]
60–856 pF/% RH
~15 (C/C0)
Glossy paperGraphene, inject printing10–701.8 (C/C0)
0.03 pF/% RH (ΔC/ΔRH)
N/A[29]
Table 2. Summary of paper-based capacitance humidity sensors.
Table 2. Summary of paper-based capacitance humidity sensors.
Sensing
Material
MethodRH Range (%)ResponseRes/Rec TimeRef.
CNT (10%)—paper compositeCNT-cellulose suspensions were filtered, pressed, and dried to form hand sheets40–8022% (ΔC/C0);
~9 fF/% RH (ΔC/ΔRH)
Slow[30]
MWCNT/PDMS
(photo paper)
Screen printing70
70–95
0.375 pF/% RH
8.24 pF/% RH
N/A[31]
GOSoaking30–90209% (ΔC/C0);
5.65 fF/% RH (ΔC/ΔRH)
Slow recovery[32]
GOPrinting30–9085–320 (C/C0)170/40 s[33]
GO/CNC
(on PET)
Drop coating25–90~2·103 (C/C0)17/22 s[34]
Aluminum
oxide
Electrochemical oxidation50–804.5 pF/% RH (ΔC/ΔRH)Slow[19]
Porous siliconSpray-coating60–95>4.5 (C/C0)>50/20 min[35]
CNC—cellulose nanocrystal.
Table 3. Summary of conductometric (resistive) full-paper humidity sensors.
Table 3. Summary of conductometric (resistive) full-paper humidity sensors.
Type of PaperElectrode/MethodRH Range (%)ResponseRes./Rec. TimeRef
Printing paperTape pasting41–72
72–91.5
~8 (I/I0)
~200 (I/I0)
472/19 s[37]
Printing paper 58–75

75–99
5.45 kΩ/% RH
(ΔR/ΔRH)
411 Ω/% RH.
382/22 s
991/48 s
[38]
Tracing paperGraphite, line-patterning20–70215% (ΔV/V)N/A[39]
Whatman 3MM ChrGraphite, ball-point pen30–90N/A1500/- s[40]
Printing paperAu, sputtering20–7014 (R0/R)N/A[41]
Glossy photo paper12.5 (R0/R)
Glossy photo paperAg, inkjet printing20–90~104 (R0/R)N/A[42]
Glossy photo paperAg, PEDOT:PSS inkjet printing;5–85~3 × 104 (R0/R)~10/~5 s[43]
HP advanced photo paperAg, inkjet printing30–60
60–90
~3 (R0/R)
7 × 103 (R0/R)
N/A[18]
Printing paperCarbon, spray20–90~800 (I/I0)237/29 s[44]
TEMPO-oxidized paperLaser irradiation11–981.2 × 103 (R0/R)60/495 s[45]
Conventional cellulose A4 paperAg, inject printing15–92~1.25 (R0/R)
0.57 kΩ/% RH
294/306 s[46]
Cellulose/KOH compositeN/A11–98~2 × 102 (R0/R)6/11 s[47]
Table 4. Comparison of the performances of humidity sensors based on cellulose- and carbon-based materials.
Table 4. Comparison of the performances of humidity sensors based on cellulose- and carbon-based materials.
MaterialDepositionElectrode/MethodRange
% RH
ResponseRes./Rec.
Time
Ref.
CNT/celluloseRod-wire coaterSilver10–95∼70% (−ΔI/I0)321/435 s[54]
TEMPO-oxidized cellulose fibers/functionalized
CNTs paper
Vacuum filteringSilver11–95∼87% (−ΔI/I0)333/523 s[55]
Nanofibrillated cellulose/MWCNT composite filmVacuum filtrationCopper-foil tape11–95∼70% (−ΔI/I0)330/377 s[56]
Regenerated cellulose/CNT composite fiberWet spinningN/A35–8644% (ΔR/R0)N/A[57]
Cellulose/CNT composite film N/A35–85~60% (ΔR/R0)N/A[58]
Functionalized MWCNT-coated paperSpray coatingNano-metal inkjet printing20–90∼60% (−ΔG/G0)N/A[59]
H2SO4 and HNO3 (3:1)-treated o-MWCNT-coated paperInkjet printingGraphite, pencil, hand-drawing33–95∼30% (−ΔI/I0)470/500 s[51]
COOH-functionalized SWCNT-coated paperFiltrationCopper-foil tape10–7537.5% (ΔS/S0)6/200 s[60]
Graphene nanoplateletVacuum filtrationCopper5–90290% (ΔR/R0)12/20 s[61]
Dip coating 75% (ΔR/R0)9/15 s
CNF/GNP composite
on PEN
Screen printingAg, screen printing;
GNP/CNF
30–90∼140–240% (ΔR/R0)17/22 s[62]
Graphene–carbon
(glossy photo paper)
Screen printingGraphene–carbon30–9213 Ω/% RH4/6 s[63]
GraphiteScreen printingAg, inject printing, laser ablationN/A0.0564%N/A[64]
Graphite (hard cellulose paper (business card))Pencil drawingGraphite43–831.4–8.6 kΩ/% RH
0.5–2.5%/RH
270/420 s[65]
CNT: carbon nanotube; GO: graphene oxide; rGO: reduced graphene oxide; CNC: cellulose nanocrystal; Gr: graphene; GNP: graphene nanoplatelets; CNF: cellulose nanofiber.
Table 5. Summary of conductometric (resistive) paper-based humidity sensors.
Table 5. Summary of conductometric (resistive) paper-based humidity sensors.
Sensing
Material
MethodRange RH (%)ResponseRes./Rec. TimeRef.
SiO2/acetate filmHand drawing50–80~104 (R0/R)31/7 s[72]
CdS NPsDrop casting5–9955% (ΔR/R)
~2 (R0/R)
~75/~50 s[73]
ZnO NPsSpin coating20–7014 (R0/R)600/- s[41,74]
Table 6. Summary of conductometric (resistive) paper-based humidity sensors with polymer sensing elements.
Table 6. Summary of conductometric (resistive) paper-based humidity sensors with polymer sensing elements.
Sensing
Material/Paper
Method/ElectrodeRange RH (%)Response/SensitivityRes./Rec. TimeRef.
PANI
(photographic paper)
Inkjet printing/13–95~2.5 (R0/R);
220 Ω/% RH
(ΔR/% RH)
N/A[77]
PANI-CMC copolymer
(glass)
Spin coating/-5–95~2.5 (R0/R);
2.5 MΩ/% RH (ΔR/% RH)
45/60 s[78]
PANI/CNF sheet
(cellulose sheet)
-/-30–501.3 µA/% RH (ΔI/% RH)370/1500 s[79]
PANI/SLS
(highly porous cellulose paper)
Polymerization/
Ag, printing
5–95~120 (R0/R);
35 kΩ/% RH
99.2% (ΔR/R)
18/35 s[80]
PANI/RGO
(polypropylene filter paper)
Filtration/Ag11–98580% (ΔI/I0)50/100 s[81]
Ng PANI/paper composite
(filter paper)
Polymerization/
Copper tape
20–95~10 (R0/R);
10 kΩ/% RH
1300/2800 s[82]
Nf PANI/paper composite75–95~5 (R/R0);
50 Ω/% RH
N/A
PEDOT: PVMA
(photographic paper)
Inkjet printing/-11–9871–98% (ΔR/R);
3–50 (R0/R)
<5/<5 s[83]
Polypyrrole
(chromatography paper 1CHR)
Polymerization/ graphite, printing33–90~1.3 (R/R0);
~17 Ω/% RH (ΔR/% RH)
N/A[84]
Ng—nanogranular; Nf—nanofibrous; CMC—microcrystalline celluloșe; CNF—cellulose nanofibers; PANI—polyaniline; PDMS—polydimethylsiloxane; PEDOT—poly(3,4-Ethylenedioxythiophene); PVMA—copolymer P(VM-alt-MA); RGO—reduced; SLS—sodium lauryl sulfate.
Table 7. Summary of PB impedance type humidity sensors (f0 = 1 kHz).
Table 7. Summary of PB impedance type humidity sensors (f0 = 1 kHz).
Sensing MaterialMethod/ElectrodeRange (% RH)Response, (Z0/Z)Res./Rec. TimeRef
PEDOT:PSS (bond paper)Inkjet printing16–90~3 (Z0/Z)N/A[89]
PANI (bond paper)Inkjet printing16–45
45–90
~104 (Z0/Z)
~10 (Z0/Z)
9 min
12 min
PANI (bond and photographic paper)Inkjet printing13–90~2.5 (Z0/Z)
−0.23 kΩ/% RH
N/A[77]
PANI (chromatography paper)Drop coating0–9748%220/150 s[94]
PANI-CMC composite (glass plate)Spin coating25–75
75–95
~3 × 102 (Z0/Z)
~2 (Z0/Z)
10/90 s[95]
Paper (print paper)Pencil-trace electrodes11–50
50–95
~3 (Z0/Z)
400 (Z0/Z)
N/A
56/86 s
[96]
PILs (print paper)Drop casting11–95~103 (Z0/Z)13/145 s
Paper (Whatman paper)/PEDOT:PSS electrode, screen printing25–60
60–85
<2 (Z0/Z)
~300 (Z0/Z)
N/A[97]
Paper functionalized with NaClSpray coating,
dip coating
25–60
60–85
<2 (Z0/Z)
2×103 (Z0/Z)
N/A
Paper (printing paper)/Ag, screen printing11–60
60–95
~2 (Z0/Z)
~65 (Z0/Z)
N/A
101/111 s
[98]
Paper functionalized with EPTACImmersion11–95~2×103 (Z0/Z)25/188 s
TEMPO-oxidized cellulose nanofibers (CNF)Free-standing film/PEDOT:PSS, Ag, screen printing20–85−0.1 Ω/% RH
~103 (Z0/Z)
6–7/7–8 s[99]
ZnO/CNFFree-standing pellet/graphite pencil drawing40–80~5 (Z0/Z)
−0.45 MΩ/% RH
N/A[100]
80–90160 (Z0/Z)
4 MΩ/% RH
CNFFree-standing film/carbon, screen printing20–9047 (Z0/Z)200/1020 s[101]
CNF/PEG1036 (Z0/Z)265/490 s
Table 8. Humidity-sensing properties of blank paper and PILs@Paper sensors.
Table 8. Humidity-sensing properties of blank paper and PILs@Paper sensors.
SensorPILs ContentSensitivityHysteresis (% RH)Response/Recovery Times
Blank Paper0%408.21956 s/86 s
PILs@Paper16.24%408.41145 s/99 s
PILs@Paper29.05%616.5938 s/105 s
PILs@Paper315.07%961.3725 s/113 s
PILs@Paper424.08%1426.62213 s/145 s
PILs@Paper534.02%2662.4257 s/202 s
Source: Reprinted with permission from [98]. Copyright: 2021: Elsevier.
Table 9. Performances of mass-sensitive PB humidity sensors.
Table 9. Performances of mass-sensitive PB humidity sensors.
TypeSensing MaterialMethodRH Range, %Resonance FrequencyFrequency ShiftRes./Rec. TimesRef.
QCMBacterial cellulose (BC)Drop coating5–55
55–97
5 MHz7 Hz/% RH
43 Hz/% RH
N/A[112]
CNCAir-brush method11–60
60–97
10 MHz60 Hz/% RH
~200 Hz/% RH
60/15 s[106]
Polydopamine/CNC/GODrop coating10–60
60–97
10 MHz26 Hz/% RH
90 Hz/% RH
11/4 s
37/5 s
[109]
CNCDrop coating11–50
50–95
~5 MHz~6 Hz/% RH
~40 Hz/% RH
90–120/50–60 s[107]
Nitro-modified CNCDrop coating 11–8420 MHz28 Hz/% RH18/10 s[108]
SAWBCSpin coating5–25
30–85
85–95
200 MHz790 Hz/% RH
~1300 Hz/% RH
~3000 Hz/% RH
3/3 s
7/4 s
12/5 s
[110]
CMUTCNCSpin coating11–53
53–94
10 MHz900 Hz/% RH
2000 Hz/% RH
7/2 s[111]
Table 10. Performances of fiber-optic PB humidity sensors that have been reported in the literature.
Table 10. Performances of fiber-optic PB humidity sensors that have been reported in the literature.
Sensing MaterialFilm Deposition TechniqueRH Range, %MethodResponseRes./Rec. TimesRef.
HEC/PVDFDrop coating50–80Light intensity0.0228 dB/% RHN/A[115]
HEC/PVDFDrop coating50–80Light intensity0.03 dB/% RHN/A[114]
Carboxymethyl cellulose (CMC)Deep coating20–70
70–85
Light intensity0.07 dB/% RH
0.86 dB/% RH
N/A[116]
CMCDeep coating35–85Wavelength change0.17 nm/% RH3/3 s[118]
CMC/CNTs0.23 nm/% RH
CLCProgram-controlled coating system38–98Wavelength change0.28 nm/% RH30 min/[117]
Cellulose-acetate butyrate (CAB)N/A10–95Wavelength change~0.5 nm/% RH125/ s[119]
CMC fiberDry-jet wet spinning50–90Light intensityN/AN/A[120]
Table 11. Performances of microwave-fiber PB humidity sensors.
Table 11. Performances of microwave-fiber PB humidity sensors.
Sensing MaterialMethodRH Range, %Resonance FrequencyResponseRes./Rec. TimesRef.
TEMPO-oxidized CNFFilms and sheet5–65
65–97
f0 = 4.7 GHz~0.3 MHz/% RH
~3.6 MHz/% RH
N/A[121]
22–89f0~8.1 GHz2.5 MHz/% RHN/A[122]
TEMPO-oxidized CNF/polyvinyl alcohol (PVOH)22–89f0~6.9 GHz~4 MHz/% RHN/A
PEDOT:PSS/CNF 0–90f0 = 2.78 GHzN/AN/A[123]
Table 12. A comparison between different paper-based RFID humidity sensors.
Table 12. A comparison between different paper-based RFID humidity sensors.
Ref. f0DimensionSensitivityQuality Factor
[137]24 MHz-13 kHz/% RH-
[133]157 MHz402 mm2 370 kHz/% RH3.7
[136]182 MHz202 mm2 140 kHz/% RH6.5
Table 13. Humidity indicators based on cellulose nanocrystals.
Table 13. Humidity indicators based on cellulose nanocrystals.
Sensing MaterialRH Range. %λmax (Reflection) Change, nmResponse/Recovery TimesRef.
CNC70–95500–5507 min/>5 min[167]
CNC43–98360–525N/A[168]
CNC/poly(ethylene glycol) (PEG)50–90520–670N/A[169]
CNC/PEG30–100500–910N/A[170]
CNC/PEG/PBD-PEGE30–100558–805N/A[171]
CNC/glycerol16–98620–710N/A[172]
CNC/glycerol33–98525–820/300 s[173]
CNC/polyol30–95425–652
455–695
501–750
N/A[174]
CNC/polyacrylamide (PAM)11–97590–7082–3 min/[175]
CNC/PNIPAM70–90424–518
524–654
600–745
30 s/180 s[176]
CNC/PNIPAM9–98490–680N/A[177]
CNC/NaCl50–95520–680240 min/30 min[178]
CNC/NMMO13–97590–680<2 min/~10 min[179]
Au/CNC35–70N/A/2 min[180]
Au/(CHI/CMC-N3)25/Au10–98N/AN/A[181]
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Korotcenkov, G.; Simonenko, N.P.; Simonenko, E.P.; Sysoev, V.V.; Brinzari, V. Paper-Based Humidity Sensors as Promising Flexible Devices, State of the Art, Part 2: Humidity-Sensor Performances. Nanomaterials 2023, 13, 1381. https://doi.org/10.3390/nano13081381

AMA Style

Korotcenkov G, Simonenko NP, Simonenko EP, Sysoev VV, Brinzari V. Paper-Based Humidity Sensors as Promising Flexible Devices, State of the Art, Part 2: Humidity-Sensor Performances. Nanomaterials. 2023; 13(8):1381. https://doi.org/10.3390/nano13081381

Chicago/Turabian Style

Korotcenkov, Ghenadii, Nikolay P. Simonenko, Elizaveta P. Simonenko, Victor V. Sysoev, and Vladimir Brinzari. 2023. "Paper-Based Humidity Sensors as Promising Flexible Devices, State of the Art, Part 2: Humidity-Sensor Performances" Nanomaterials 13, no. 8: 1381. https://doi.org/10.3390/nano13081381

APA Style

Korotcenkov, G., Simonenko, N. P., Simonenko, E. P., Sysoev, V. V., & Brinzari, V. (2023). Paper-Based Humidity Sensors as Promising Flexible Devices, State of the Art, Part 2: Humidity-Sensor Performances. Nanomaterials, 13(8), 1381. https://doi.org/10.3390/nano13081381

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