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Review

Porous TiO2-Based Gas Sensors for Cyber Chemical Systems to Provide Security and Medical Diagnosis

Sensor Lab, Department of Information Engineering, University of Brescia, Via Valotti 9, 25133 Brescia, Italy
Sensors 2017, 17(12), 2947; https://doi.org/10.3390/s17122947
Submission received: 8 November 2017 / Revised: 13 December 2017 / Accepted: 17 December 2017 / Published: 19 December 2017
(This article belongs to the Collection Gas Sensors)

Abstract

:
Gas sensors play an important role in our life, providing control and security of technical processes, environment, transportation and healthcare. Consequently, the development of high performance gas sensor devices is the subject of intense research. TiO2, with its excellent physical and chemical properties, is a very attractive material for the fabrication of chemical sensors. Meanwhile, the emerging technologies are focused on the fabrication of more flexible and smart systems for precise monitoring and diagnosis in real-time. The proposed cyber chemical systems in this paper are based on the integration of cyber elements with the chemical sensor devices. These systems may have a crucial effect on the environmental and industrial safety, control of carriage of dangerous goods and medicine. This review highlights the recent developments on fabrication of porous TiO2-based chemical gas sensors for their application in cyber chemical system showing the convenience and feasibility of such a model to provide the security and to perform the diagnostics. The most of reports have demonstrated that the fabrication of doped, mixed and composite structures based on porous TiO2 may drastically improve its sensing performance. In addition, each component has its unique effect on the sensing properties of material.

Graphical Abstract

1. Introduction

Over the last decade the fabrication of cyber physical system (CPS) has been considered to be very promising strategy for industrial applications, smart grids and communication technology systems [1,2,3,4]. In this respect the cyber chemical system (CCS) may become a new key innovation that opens big prospects to the world of security and healthcare. The CPS is based on integration of computational applications with devices that are able to detect or control the physical changes, such as the temperature, pressure and mechanical movements [2,3]. The CCS an integration of computational applications with gas sensors for the detection of chemical changes in the environment like the presence of gaseous compounds and the variations of their concentration. The framework of CCS is depicted in Figure 1, where the main components and communication tools integrated in a smart system are shown.
Nowadays the major environmental problems are global warming and the effects of climate change that are harming food production and have potentially devastating effects [5,6]. Moreover, the possible leakage of chemical compounds and hazardous gases in the industrial sector requires modern safety systems. The high levels of air pollution from the cars and trucks, the presence of unsafe levels of ammonia, hydrogen sulfide, volatile organic compounds (VOCs) and oxides of nitrogen demonstrate the need for increased public health protection [7,8]. In recent years, the demands for clear and renewable energy sources, such as hydrogen, have increased. This is due to the limited availability of gas, oil and coal in Nature, as well as the environmental and health risks related with their exploration and refining. Hydrogen is an odorless and explosive gas. Consequently, there is a need to control the concentration and to detect the possible leakage of hydrogen during its production and usage.
The safe transport of people and goods in airports, train and bus stations is another important issue. In order to fulfill this function, it is necessary to provide smart infrastructures for all the modes of transport, road, rail and ship. X-ray imaging of luggage and mass spectrometry techniques have been used to detect the prohibited substances and explosives [9,10]. Due to their high power consumption and large dimensions these instruments can be used only in particular cases. Therefore, they are not convenient for the wide-range of applications. Instead, there is a need of portable sensing devices that are able to detect and analyze different types of trace organic vapors, biological and chemical compounds with desirable accuracy and speed.
Real-time breath analysis are one of the best methods for the early diagnosis. These analyses can be performed using mass spectrometry techniques [11]. The needed spectrometers are large and expensive systems that are being replaced with modern small-size and portable devices based on chemical sensors [12,13].
Researchers in the sensors community and computational science have actively worked on the design and fabrication of new structures using suitable and cost effective technologies for the realization of the security and healthcare systems. These activities are aimed primarily at developing the necessary software, facilities and technological procedures for the preparation of functional nanomaterials and to facilitate the automation and control of the aforementioned systems [4,14,15].
Recent achievements in semiconductor material nanotechnology provide new opportunities. Investigations have shown that the nanostructuration, variation in composition, and design of semiconductors with different shapes have a critical effect on the optimization of their functional properties [16,17]. The synthesis of novel nanostructures with targeted performance requires a high degree of scientific creativity and the ability to develop advanced technological procedures. The materials preparation procedures should be cost effective and suitable for large scale production. Metal oxide materials with their excellent physical, chemical and multifunctional properties are the most attractive materials for the fabrication of chemical sensors [18]. The low raw material cost and the production flexibility of these structures are advantageous for their application in sensing systems. The surface structure and the specific surface area play important role on the sensing properties of materials [16,19]. In this regards, well-ordered porous metal oxide structures may be very efficient for the fabrication of gas sensors [20,21]. The porosity increases the surface area of the material, enhancing its interaction with the gaseous species. In the meantime, the well-ordered structure may improve the reproducibility of its functional properties. Research efforts to improve the traditional preparation methods and to develop novel approaches for the synthesis of porous metal oxide nanostructures have opened new perspectives and created new challenges.
TiO2 with its unique electrochemical and electrophysical properties is a very promising material for the fabrication of chemical sensors and its integration in security systems [22,23,24,25,26]. Especially the porous TiO2 quasi one-dimensional structures with their superior electron transport properties and large surface area are very attractive materials in surface chemistry, where the chemical phenomena occur at the interface of two phases, including the solid–gas interfaces (adsorption and desorption reactions) [20,27]. The pore size determines the material adsorptive and desorptive properties. Moreover, the hierarchical porous TiO2 nanostructures have better gas sensing performance compared with dense nanoparticle aggregates [17]. The International Union of Pure and Applied Chemistry (IUPAC) guidelines define the ranges of pore size, as shown in Table 1 [28].
As the importance of porous TiO2-based structures in security and healthcare applications is becoming increasingly evident, it is useful to review the research studies that have been done on this topic and to present the current state of research on porous TiO2 through a comprehensive overview of recent publications. The achievements in communications science in the last years have opened new perspectives for the coupling of cyber elements with the chemical gas sensors. This paper presents an overview of the achievements and challenges in the context of synthesis and study of the gas sensing properties of porous TiO2 structures for the fabrication of CCSs for the future applications in the smart security, smart transportation and smart healthcare.

2. Description, Architecture and Applications of CCSs

The wireless networks revolution led to fundamental changes to the data networking and communication tools. The integration of sensors and actuators using wireless networks with the data elaboration and analytical tools may provide an interactive functionality between processes and virtual elements [2,4]. Moreover, by realizing interconnection mechanisms between the human, machine and cyber elements it will be possible to control the processes related with the data acquisition and elaboration. Thus, the objective of CCS is to produce a system based on the integration of chemical sensors and the interaction networks providing remote control of network elements over network devices. The creation of an emerging new technology platform such as the CCS may become an excellent solution for the efficient integration of chemical sensors in smart systems using advanced technological and communication tools (cyber elements).

2.1. CCSs for Security

A multifunctional security model based on different CCSs is shown in Figure 2. Such a model of security activities for industrial and outdoor monitoring would improve safety and quality of life. Concerning the air quality monitoring the domestic sector is another important field, where combustible gases, CO2 and humidity levels have to be detected. Therefore, we should be focused on monitoring of indoor air pollution along with the outdoor pollution. The CCS for indoor monitoring is a network of gas and fire detectors connected with smart devices and data acquisition and elaboration centers. This system provides safety by monitoring public buildings and the domestic sector. Similar systems equipped with the specific gas sensors and the modern connection technologies can carry out real-time monitoring of hydrogen, methane and liquid petroleum gas (LPG)-powered cars and fuel stations to avoid explosion situations.
The new safe city concept is one of a smart city equipped with a network of different types of CCSs and CPSs. The systems may operate together providing efficient security services. Figure 3 presents the application of CCSs for the security of the public transit and transport services. These devices are based on sensor arrays that screen passengers and luggage to detect organic, biological and chemical compounds. One of the main objectives of such a security system is the prevention of attacks in real-time. The integration of CCSs with CPSs may increase vehicle security by excluding the presence of illegal materials in public spaces. The application of high sensing performance chemical gas sensors in such systems can increase the security control level while reducing the involvement of human resources and decreasing the cost of monitoring.

2.2. CCSs for Breath Analysis and Medical Diagnostics

Non-invasive analysis is a rapidly growing field in medicine for the early diagnosis and detection of diseases. Inorganic gases (NO and CO) and VOCs (acetone, ethanol, ammonia, ethane, etc.) can be present in human breath depending on the nutrition and the cellular metabolic state in different diseases and microbial infections. The breath of lung cancer patients includes nitric oxide (NO) that causes inflammatory disorders such as asthma. Acetone is a specific breath marker for diabetes [29]. Investigations have shown that the breath acetone concentrations may be correlated with the glucose level in blood and used as a new standard for insulin management. Modern alcohol breath analyzers based on ethanol sensors may replace the traditional methods for the identification of drunk drivers. Therefore, the detection and analysis of these inorganic gases and VOCs represent valuable information sources for early diagnosis and therapy [30]. Several types of gas sensors have been examined proving the power of these innovative non-invasive approaches. Research on potential breath marker compounds for diseases and infections may provide very useful information for further medical therapy procedures [30,31]. Figure 4 shows a schematic representation of a proposed CCS for breath analysis and the smart toilet concept. The breath analysis system includes a sensor and actuator network, smart devices for real-time communication, and a data acquisition and elaboration center. The system may implement a connection between the patient and the doctor to provide medical support. The data analysis can be checked by the human using a smart device.
Another healthcare smart device is the smart toilet [32]. The smart toilet is equipped with sensor arrays to perform the analysis of urine and get the data using the network elements for data integration and elaboration (Figure 4h). The smart device displays the readings of urine tests and can provide much useful information about various diseases and conditions.
The development of aforementioned CCSs based on chemical gas sensors in future may provide the diagnostic procedures for the healthcare.

3. Synthesis of Porous TiO2 Structures

The first works on the synthesis of porous TiO2 structures using porous alumina templates were published about 20 years ago [33,34]. In the meantime, Zwilling et al. reported the anodic formation of TiO2-based tubular structures. [35]. Then, researchers started to work intensively on the development of preparation methods for TiO2 porous materials. Porous TiO2 is one of the most studied oxide materials for the wide range of applications, such as solar cells, self-cleaning systems, water splitting, gas- and biosensors, Li-ion batteries, drug delivery and implants [21,23,26,36,37,38,39]. Due to this reason, in the last a few years enormous efforts have been made to find new methods and to improve the traditional techniques for the fabrication of pure, doped, and functionalized porous TiO2 materials. About 4000 papers have been published on porous TiO2 structures during the most recent five years (source: “Web of Knowledge” database). An overview of these investigations shows that standard bottom-up approaches, such as sputtering, and physical and thermal deposition techniques have not been developed yet to obtain porous TiO2 structures. The preparation of porous and tubular TiO2 is possible through the chemical, electrochemical and template-based techniques [40,41,42].
To obtain porous and tubular TiO2 structures a few chemical approaches, such as the sol-gel (combined with the spin- and dip-coating methods) [40,43,44,45], evaporation-induced assembly and aerosol deposition (using chemical solutions) [46,47], have been reported. The most used and developed methods for the synthesis of porous and tubular TiO2 materials during the last years are atomic layer deposition (ALD), electrochemical anodization and hydrothermal synthesis. The achievements in these areas within the past few years are presented below, showing their advantages, disadvantages and perspectives for the fabrication of chemical sensors.

3.1. ALD

Atomic layer deposition is a template-assisted method providing material thickness control at an atomic level [42,48,49,50]. This method is relatively new compared to the other techniques for the synthesis of TiO2 porous materials. The deposition process is carried out in a reactor, where the precursor is pulsed and chemisorbs on the surface of a patterned substrate (Figure 5).
Liquid, solid and gaseous precursors can be used for the ALD. The deposition temperature affects the material adhesion and growth process. The deposition is mainly performed ≥400 °C, therefore, the TiO2 structures obtained by ALD are mostly crystalline [50,51]. The residual reactants are removed by an inert gas purge after the deposition cycles. The most used template material for the ALD is porous alumina prepared by means of the anodic oxidation method [42,49,50,51]. The porous alumina is obtained on an appropriate substrate, followed by the porous TiO2 layer ALD process [52]. The TiO2 structures obtained on such templates have mainly tubular shape [48,49,50,52]. The length of tubes increases with the increase of the number of deposition cycles [51]. The presence of alumina under the porous TiO2 layer may affect its optical and electrical performance [52]. The alumina layer can be removed by selective etching [51]. Huang et al. modified the ALD technique for materials that are hard to pattern [53]. They used single crystal silicon and polysilicon layers on SiO2 substrates as the template material. The patterns were defined by conventional optical lithography and the samples were etched into templates using SF6 and radiofrequency power. Then, TiO2 was deposited on the high aspect ratio Si templates. In this case, the deposition temperature was relatively low (from 120 to 300 °C). Afterwards, Si cores were etched and removed. As a result, TiO2 nanotubes were obtained.
A few very recent studies have reported the fabrication of mixed and functionalized TiO2 tubular arrays by ALD [48,49]. Borbón-Nuñez et al. have used carbon nanotubes as the template. In the first step of ALD, a thin alumina buffer layer was deposited to control the thickness of material. Then, the TiO2 nanotubes were prepared. The presence of alumina buffer layer in the material inhibited the phase transition from anatase to rutile improving its structural stability [49]. Zhang et al. have used carbon nanocoils covered by Pt nanoclusters as the template. The amorphous TiO2 film was deposited by ALD on Pt/carbon nanocoil templates. The templates were removed by calcination under an air atmosphere obtaining TiO2/Pt porous hollow structures. Then, CoOx nanoclusters were deposited onto TiO2/Pt producing CoOx decorated TiO2/Pt mixture material [48].
ALD is a very precise method. It is possible to control the diameter of the tubes by varying the dimensions of the patterns. The disadvantage of ALD is the template-assisted approach that makes it difficult to use existing planar structures for the fabrication of functional devices. Besides, the deposited TiO2 layer is very thin.

3.2. Electrochemical Anodization

Electrochemical anodization has been one of the traditional methods used by the industry to fabricate compact and porous films. The electrochemical formation of TiO2 porous arrays is based on oxidation and etching of metallic titanium layer under well-established conditions. The oxidation and etching processes are due to the presence of water and fluorine ions in the electrolyte solution. The key factor of this method is the optimization of anodization parameters for the steady state electrochemical oxidation and chemical oxide dissolution [35,54]. The anodization process is carried out in an electrochemical cell consisting of two electrodes (Figure 6). The titanium metallic layer is the anode and the other electrode is the cathode. Pt is a very stable material in different electrolyte solutions. Therefore, Pt is the most used material as a counter electrode. It is possible to obtain highly ordered and uniform TiO2 nanotubes using electrochemical anodization. The diameter and the length of tubes can be controlled by varying the anodization parameters, such as the electrolyte solution and temperature, the applied voltage or current, as well as the anodization time.
The research activities in recent years are mainly focused on the preparation of doped, mixed, functionalized and composite materials based on TiO2 nanotubes. The doping and functionalization of anodically prepared TiO2 nanotubes have been performed mainly by the deposition and dip coating techniques, as well as by the annealing of prepared structures in a specific atmosphere [55,56,57,58,59,60,61,62,63]. The anodic formation of doped and mixed TiO2 nanotubes is also possible by the anodization of titanium alloy films and by the anodization of titanium in a dopant (or mixture) material containing electrolytes [20,64]. The anodization of titanium alloys is an efficient way to obtain doped or solid solutions of TiO2. In this case, the metallic alloy is deposited (mainly by means of radiofrequency or direct current sputtering) on the substrate and the distribution of dopant or mixture material in the film is very homogeneous (Figure 7) [20,65]. Therefore, the anodization of such alloy materials results the growth of homogeneously mixed tubular arrays. The fabrication of doped TiO2 nanotubes in the dopant material containing electrolytes has been studied by Chatzitakis et al. They prepared C- and N-doped TiO2 nanotubes in ethylene glycol containing small amounts of water and NH4F. Meanwhile, they considered the content of C and N species in the electrolyte solution as the contaminants. Consequently, the concentration of dopants was not controlled during the anodization process [66].
Song et al. proposed another strategy to improve the functional properties of anodic TiO2 nanotubes [36]. They prepared Ti3+-self-doped anodic TiO2 nanotubes. As-prepared anodic tubes have been crystallized by thermal treatment. Then, the materials have been electrochemically reduced by controlling the reduction duration and the potential. One of the key advantages of anodization method over the other approaches is that the process is carried out by means of very facile technique without use of any vacuum apparatus. Meanwhile, as-anodized tubular arrays are mainly amorphous and a post-growth thermal treatment is needed for their crystallization [20].

3.3. Hydrothermal Synthesis

The hydrothermal reaction is performed in aqueous solutions, where the reaction parameters, such as the solution concentration, the reaction temperature and time can be controlled. The pressure in the autoclave is also kept under control. A schematic of a hydrothermal growth system is shown in Figure 8. The hydrothermal growth process of TiO2 is based on the chemical reaction and solubility changes of substances in the solution at relatively high temperatures [67,68]. Since the porosity of the material plays an important role in its functional properties, in the last years the efforts have been devoted to the design of materials. A few works have reported the preparation of TiO2 nanotubes using templates and seed layers. Jo et al. obtained TiO2 nanotube arrays on carbon fibers, with the application of different TiO2 loadings based on the coating-hydrothermal process (Figure 9) [69]. Xie et al. used multi-walled carbon nanotube templates [70]. Luo et al. have fabricated TiO2 nanotubes on the porous seed layers prepared by a plasma electrolytic oxidation technique [71]. Meanwhile, the other studies have been mainly devoted to the development of synthesis parameters and the preparation of more efficient aqueous solutions for the thermal growth [72,73,74,75,76]. Ranjitha et al. investigated the effect of the reaction time on the growth of TiO2 nanotubes [75]. Aphairaj et al. obtained TiO2 tubular arrays from a natural leucoxene mineral [68]. Zhang et al. prepared porous cake-like TiO2 materials by the annealing of titanium-based metal-organic frameworks templates [77].
One of the main ways to modify the material surface chemistry is the doping and functionalization of the material. Information obtained from the literature indicates that the preparation of doped and mixed structures is one of the main advantages of the thermal growth technique. Researchers have reported that the doping and synthesis of solid solutions based on porous TiO2 can be performed by reacting two or more dispersions and solvents in an autoclave [78,79,80]. The doping and functionalization of TiO2 porous and tubular structures with Fe, Co, Bi2O3, Cu-Ag, CuO and graphene oxide has been successfully performed according to the aforementioned strategy [78,81,82,83,84]. Nevertheless, it is difficult to obtain well-ordered porous and tubular arrays with a homogeneous size distribution over the substrate using the hydrothermal growth technique. Besides, the growth process at relatively high temperatures limits the choice of substrates.

4. Fundamentals and Design of Chemical Gas Sensors

TiO2-based gas sensors are typically chemiresistive sensors. The working principle of a typical n-type semiconductor gas sensor material is based on its conductance change mechanism due to the adsorption/desorption process of oxidizing and reducing gases. When the material is exposed to air, oxygen is chemisorbed on its surface, extracting electrons from the conduction band and trapping them on the surface, leading to the formation of a depletion layer and a band bending (Figure 10). The height of surface potential barrier (qVS) and the depth of band banding (W) depend on the surface charge and can be determined according to the Equations (1) and (2), respectively, where q is the electrical charge of the carrier, NS is the density of surface states, εr is the relative permittivity of the metal oxide, ε0 is the permittivity of vacuum, VS is the band bending, nd is the carrier concentration. The surface charge can be determined by the amount of ionosorbed oxygen and it depends on the Debye length (LD) (Equation (3)) [85,86]:
q V S = q 2 N S 2 2 ε r ε 0 n d
W = ε r ε 0 V S q n d
L D = ε r ε 0 K B T q 2 n d
K is the Boltzmann constant, T is the absolute temperature in Kelvin.
To improve the interaction between the semiconductor and the gaseous compounds the sensing material is heated. The oxygen is ionosorbed on the surface of material as molecular ( O 2 ) and atomic species ( O and O 2 ). This process is depends on the operating temperature of the material. The molecular form dominates below 150 °C. The atomic species dominate above 150 °C [87]. The optimal operating temperature of metal oxides varies from 200 to 500 °C [88]. Due to this reason, the oxygen is ionosorbed on the surface of sensing material mainly as O ions. The O 2 lattice oxygen is not involved in chemiresistive sensors, as its formation process occurs above 500 °C. Under ambient conditions water molecules can be adsorbed (by physisorption or hydrogen bonding) on the material surface and affect its sensing properties. Nevertheless, the studies showed that molecular water is no longer present at the material surface above 200 °C [87]. The physically absorbtion process of molecules is determined by the Van der Waals and dipole interactions [89]. A reducing gas, such as hydrogen, reacts with the chemisorbed oxygen, decreasing the amount of the surface trapped electrons according to Equation (4). Consequently, the conductance of material is increased. In the presence of other oxidizing gases, such as NO2 additional electrons can be extracted from the material, increasing the height of the potential barrier and decreasing the conductance (Equations (5) and (6)). These changes in conductance due to the adsorption/desorption of oxidizing and reducing gases are used as a signal for the chemical sensor devices. The surface area to volume ratio, pore size, and electron transport ability of TiO2 all play important roles in its functional applications [90]. For chemiresistive gas sensors, a large surface area means the presence of more surface active sites for gas absorption, resulting in noticeable material conductance changes. Therefore, the material sensing performance can be improved depending on its morphological parameters. Meanwhile, the electron exchange process is related to the LD of the material. Consequently, to enhance the conductance change the LD should be equivalent to the structure dimensions.
H 2 + O ( ads ) H 2 O + e
NO 2 + e NO 2
NO 2 + O + 2 e NO + 2 O 2
The described surface sensing mechanism is dominant when the conductivity is strongly affected by the charged adsorbate-induced band bending. TiO2 is a model oxide compound having three polymorphs of different symmetries, named rutile, anatase, and brookite [91]. The conductivity of rutile TiO2 is more affected by the bulk reduction and oxidation. It was demonstrated that the incorporation of certain dopants may affect the sensing mechanism of TiO2. Thus, the sensor kinetics of TiO2 can be described in terms of the surface chemisorption or bulk diffusion model. In particular, when Nb- and Cr-doped TiO2 have been tested towards oxygen at relatively high operating temperatures (~900–1050 °C), the obtained sensor device was considered as a bulk sensor. On the contrary, at the relatively low operating temperatures (≤650 °C) TiO2 sensors operate based on the reactions between the gaseous compounds and the preadsorbed oxygen on the surface of material. In this case, the sensing mechanism is described based on the surface chemisorption model [92].
Despite having the same chemical composition, the differences in the coordination environments, and hence chemical bonding, of rutile- and anatase-crystallized TiO2 result in very different ionization potentials and electron affinities. The electron affinity of anatase is higher than that of rutile and in the anatase/rutile mixed-phase TiO2 the generated conduction electrons flow from rutile to anatase [22]. This feature may facilitate the oxygen preadsorption on the material surface improving its response towards reducing gases [93].
Even if the theory of sensing mechanism for the semiconductor materials has been discussed and presented in several papers, it continues to be developed. Recently, Barsan et al. presented a model, where for the metal oxide based gas sensors in normal operation conditions it is possible to switch between conduction mechanisms. In the presence of humidity and at certain concentrations of a reducing gas the surface depletion layers are replaced by the surface accumulation layers and the conduction mechanism changes accordingly [94]. Hence, the precise control of the gas concentration and the concentration of relative humidity during the gas tests of a sensor device is very important.
Figure 11 presents the design of a typical chemiresistive transducer, where the porous structure is obtained on the substrate, and the electrodes for the electrical measurements and a heater are deposited on the surface and the backsides of the substrate. There are different approaches to improve the architecture and the performance of sensor devices. An important topic is the substrate choice, as it can affect the power consumption of the final device. The low power consumption of a sensor makes it possible to use battery-powered instruments and plastic housings. Novel sensor devices are mainly based on thin-film technology. Therefore, the substrate material should be easily handled in the electronic industry and in the thin-film technology with the standard processes. To decrease the size, the cost and the power consumption of sensor devices it is necessary to reduce the dimensions of the substrate. The aforementioned aspects should be considered when comparing the cost and benefits of different substrates. Silicon and alumina are the materials mainly used as substrates. Silicon is the main substrate used for integrated circuits and in the planar process. Alumina substrates have well-balanced properties of insulation, thermal conductivity and breaking strength. They are available in different surface roughness and crystalline properties and can provide excellent adhesion with the thin film and thick film metallization due to the fine particles.
Alternative polymeric substrates have been used for the fabrication of flexible and low power consumption sensors [95,96,97]. However, the polymers are typically not resistant to degradation at the high working temperatures used. Some categories of polymers, such as polyamides and polyesters, have relatively high heat-resistance and have been successfully used in the fabrication of nanomaterials and gas sensors [23,96,97,98]. These low energy consumption substrates are promising for the construction of environmentally friendly flexible sensing devices.
The chemical reactions between the gaseous species and semiconductor followed by the charge transfer in the interfaces affect the material conductance. Consequently, the choice of electrode material is very important for gas sensor devices. Recently, the chemistry and physics of barrier formation, as well as the carrier transport model for the metal/semiconductor interface including the tunnel effect have been studied and described in details [99]. The studies have shown that the contact resistance has a significant contribution to the performance of a sensor. Thus, the high stability of the materials used is one of the most important requirements for the fabrication of electrodes. It is well-known that the contacts can degrade due to the diffusion processes at electrode/oxide interface or the electrode interaction with the atmosphere. Among the noble metals, platinum is more preferable as contact material compared to gold and palladium, because of the diffusion of gold into the sensing material and oxidation of palladium at the high operating temperatures of sensors. Platinum has low diffusivity, it does not oxidize at high operating temperatures, and it is resistant to corrosive gases [18]. The deposition of an adhesion layer is also required for the preparation of high quality ohmic electrodes [99]. The careful choice of electrode material and its fabrication procedure can prevent the rather fast degradation of the contacts.
The gas tests should be carried out in a test chamber, where the relative humidity and the concentrations of gases can be held under precise control. Unfortunately, this rule is not always followed in all the works reported in the literature, which makes it difficult to evaluate the sensor performance and to compare the sensing properties of different sensors with each other. The response (S) of a sensing material is considered the relative change of its conductance (or resistance) due to the adsorption/desorption processes of reducing and oxidizing gases (Equation (7)):
S = G 0 G f G 0
where the G0 is the baseline conductance of material in air and Gf is the conductance in the presence of gaseous species. The response, the response and recovery times are the main parameters to evaluate the sensing performance of a material. The calculation mechanisms of sensing parameters for the different type of semiconductor materials have been discussed in details in previous reports [17,100].

5. Sensing Properties of TiO2

The most studied oxide material for chemical sensing applications is SnO2 [101]. Considerable attention has also been paid to ZnO gas sensors [19]. However, SnO2 with its sensitivity to different gases exhibits good response to humidity [102,103]. Investigations have shown that ZnO is not a stable material towards water molecules [104]. The chemical sensors are intended to detect the gases mainly under ambient conditions, where water is constantly present. Hence, this fact requires the fabrication of sensors devices that are stable to humidity changes. TiO2, WO3, In2O3, NiO and Nb2O5 have been studied for the fabrication of chemical sensors as well [105,106,107,108]. The investigations have shown that there are significant differences in water adsorption on the surface of TiO2 compared with the other oxide materials [68,109]. Moreover, TiO2 is the most used transition metal oxide in self-cleaning systems due to its excellent catalytic activity [110,111,112,113]. This effect can be used in the fabrication of TiO2-based self-cleaning gas sensor devices. It has been demonstrated that even the functionalization of other oxide materials with the TiO2 nanoparticles can induce a photocatalytic effect onto their surface. A self-cleaning sensor was obtained based on TiO2 and SnO2 materials. The organic species remaining on the structure surface were photocatalytically degraded using a UV radiation treatment. In contrast to TiO2/SnO2 structure, the sensing response of pure SnO2 decreases gradually depending on the increase of detection cycles [109]. Thus, porous and tubular TiO2 structures are promising materials for chemical sensing. However, the studies have shown that the sensing properties of TiO2 need to be improved to fabricate high performance sensor devices. In the meantime, the material resistance should be decreased for the manufacturing of small-size and low power consumption sensor devices.
During the last a few years, research activities have been focused on the development of new directions and strategies for the fabrication of high performance gas sensors based on porous TiO2. The studies have shown that the modification of the material composition and its coupling with other structures are the most efficient methods to improve the sensing properties of porous TiO2. Therefore, in this section recent developments in the sensing performance of doped, mixed and composite structures based on porous TiO2 will be presented.
Table 2 summarizes recent achievements in gas sensing applications of TiO2-based porous and tubular structures. It is well known that noble metals are effective catalysts for metal oxide materials. This approach has been used for the further improvement of TiO2 nanotubes’ sensing properties. Functionalization by Au, Pd and Pt enhances the response of TiO2 nanotubes towards SO2F2, ethanol, acetone and hydrogen [114,115,116,117]. The noble metals may act as active centers to catalyze the decomposition of target gas molecules and facilitate the reactions between the material surface and gaseous species. Thus, the aforementioned decomposition reactions on the material surface can enhance the sensor signal, the response and recovery times [118,119]. Park et al. improved the response and selectivity of TiO2 tubular structures (Figure 12) using palladium nanoparticles as the catalyst material [115]. Functionalization by Pt nanoparticles may reduce the reduction temperature of the material. In addition, the morphology, the size and concentration of Pt particles play a key role in the structure gas sensing properties [118,120]. Moreover, the noble metals are expensive and their application may increase the cost of the final devices.
Doped and solid solution sensors based on TiO2 porous structures have been obtained considering synergistic and catalytic effects, as well as other mechanisms for the enhancement of material sensing performance. The introduction of Ni improved the response of TiO2 tubular structures towards hydrogen at 200 °C by changing their response mechanism. The materials demonstrated p-type semiconducting behavior and the conductance was decreased in a reducing gas atmosphere [121,122]. The incorporation of Al and V in TiO2 tubular arrays also changes their response mechanism towards hydrogen. The conductance of the Al-V-TiO2 structure decreased upon exposure to a hydrogen-containing atmosphere [126]. Furthermore, it has been reported that the presence of Cr in the TiO2 lattice leads to the change of charge transfer mechanism for a high concentration of NO2 (50 ppm) at the elevated operating temperature (500 °C). Solid solutions based on Cr and TiO2 nanotubes have been obtained and treated at 400–800 °C. The materials’ conductance increased showing p-type response [123]. Pure TiO2 nanotubes obtained under the same conditions, showed n-type response [123,126]. The aforementioned investigations showing that at certain temperatures, depending on the gas type and concentration, the response mechanism of doped and mixed TiO2 nanotubes may change. Unfortunately, this response mechanism change has not been studied in details or described in the literature.
The doping and fabrication of solid solutions based on niobium and TiO2 nanotubes improved the sensing properties of pure TiO2 towards hydrogen, carbon monoxide ethanol and acetone (Figure 13). In the meantime, the niobium increased the structure conductance [20,65]. The presence of certain concentrations of Nb in the biphase (anatase/rutile) TiO2 inhibited anatase-to-rutile phase transition process improving the structure stability at the high working temperatures [20]. Furthermore, the preparation of biphasic TiO2 is beneficial to improve the material response towards hydrogen [93]. This effect can be explained by the electron transfer from rutile to anatase, which facilitates the oxygen preadsorption on the surface of the anatase structure [22,93]. Besides, anatase TiO2 showed better response to VOCs compared to rutile, indicating that the crystalline phase may affect the selectivity of TiO2 [124].
Su et al. have studied the properties of Ti3+ self-doped biphase porous TiO2. They have observed a significant decrease of material resistance due to the self-dopant Ti3+ [129]. The prepared structure demonstrated a selective response towards carbon monoxide at room temperature. Zhao et al. prepared MoS2 decorated anodic TiO2 tubular structures. They have obtained p-n junction of MoS2-TiO2 by means of the hydrothermal growth method. The MoS2-TiO2 composite showed a selective p-type response towards ethanol vapors [127]. Tomer et al. obtained selective ethanol sensors based on SnO2-TiO2 mesoporous hybrid materials [128]. Further Ag doping enhanced the response and recovery times of the hybrid material.
Recently, Tang et al. have demonstrated the beneficial effect of polymers on the sensing properties of TiO2. They coupled polypyrrole with an anodic TiO2 tubular structure obtaining good and selective response towards CH2O at room temperature. They studied the material sensing performance during the one year. Over that period the material demonstrated stabile sensing performance, as well as good stability to humidity changes [57].
The incorporation of some mixed materials may increase the conductance of TiO2 and at the same time worsen its sensing performance or increase the structure response towards humidity. Kılınç et al. observed that the presence of high concentrations of carbon in TiO2 nanotubes decreases the structures’ response to hydrogen [125]. The incorporation of nitrogen increases the response of TiO2 to relative humidity changes [130]. The effect of humidity on the sensing performance of oxide materials should be minimized to obtain a stable sensor device. Therefore, to evaluate the effect of mixed materials on the structure sensing properties the humidity effect should be considered in parallel. The variation of pore diameter effects on the sensing performance of TiO2 as well. Studies have shown that a decrease in tube diameter increases the response of pure TiO2 tubular arrays towards VOCs (Figure 14) [21]. The porous structures of TiO2 studied for the sensing applications have been mainly mesoporous [20,65,114,121,124,126,128], and macroporous [57,115,116,122,123,127]. Microporous samples show responses towards carbon monoxide at room temperature. However, the self-dopant Ti3+ affected the sensing properties of microporous structures as well [129]. The operation of the sensing device at room temperature is favorable for the fabrication of low power consumption sensor devices. However, the sensors’ operation at such a low temperature is not advantageous for some applications. Water molecules can be formed on the surface of metal oxides due to the adsorption of some reducing gases (Equation (4)). Consequently, to provide the security in some sectors the sensor device should operate above room temperature to avoid the effects related to the presence of water.
The aforementioned investigations indicate that the fabrication of doped and hybrid structures based on the porous and tubular TiO2 are efficient strategies to improve the structures’ sensing performance. The response, the response and recovery times, as well as the material stability have been improved by introducing different dopants and mixed materials. Moreover, the preparation of composite structures based on tubular TiO2 enhances the material selectivity towards hydrogen and VOCs. The coupling of TiO2 with polymers may improve the selectivity and the response of materials at room temperature [57]. Another solution to overcome the selectivity issue is the fabrication of a device, a so-called electronic nose (EN), which is an array of different sensors [15,29]. We can perform cross analysis using such a device to detect the presence of a specific gas in the environment. Consequently, the CCS may get the signal not only from a single sensing device, but from two or more devices in a hybrid way, and then, provide information on a particular process based on the elaboration of data registered in a hybrid way. The fabrication of low power consumption sensors and the miniaturization of the final device are important issues for the fabrication of such CCSs. Recently, it has been demonstrated that disorder-engineered nanophase TiO2 (so called black TiO2), owing to its narrower bandgap, absorbs visible light and has relatively high electrical conductivity. These features of black TiO2 make the material more attractive for application in functional devices [114,115]. The decrease of TiO2 operating temperature and the improvement of its conductance are important for the miniaturization of the sensor devices and their integration in CCSs.
The response of porous TiO2 structures towards very small concentrations of acetone should be further improved since the concentration of acetone in the breath of healthy humans is usually in the range of 300–900 ppb and over 1800 ppb for the diabetic patients [131,132]. Tobaldi et al. have reported that after the functionalization of TiO2 nanoparticles with the Ag the material proved to be highly sensitive for the detection of acetone vapors at the low concentrations (<1 ppm) [133]. This represents an effective way to further improve the material sensing response.

6. Conclusions and Outlook

In this paper, an overview of the recent developments in the field of porous TiO2-based gas sensors and their applications in CCSs to provide safety and healthcare has been presented. To prepare highly aligned and well-ordered porous TiO2 structures the ALD, electrochemical anodization and hydrothermal synthesis methods have been well developed compared to the chemical approaches. ALD is a template-assisted method which allows the precise control of tube dimensions and their ordering. Meanwhile, the template-assisted approach makes the integration of the materials with the existing planar structures difficult. Anodization is a cost-effective and precise method to obtain well-ordered, doped and mixed TiO2 nanotubes at room temperature without the use of any vacuum technique. The anodized materials are mainly amorphous. As-anodized tubular structures are crystallized by post-growth thermal treatment. The doping and functionalization of TiO2 porous structures with the different materials can be successfully performed by means of the hydrothermal growth technique. In this case the material synthesis is performed at high temperatures which limits the choice of substrates.
The studies show that the preparation of composite structures based on porous TiO2 is a promising strategy to improve its response and selectivity. Each material in the composite affects the structures’ sensing parameters depending on the material properties, shape and amount. The introduction of dopants may improve the structure response, as well as the electrical conductance. This is an important issue for reading out the sensor signals using small size electrical devices. The presence of some dopants in the structure may improve the material conductance while worsening its sensing properties. Thus, the type and the concentration of dopant material are important issues to enhance the structure sensing performance. The fabrication of black TiO2 with a narrow bandgap and relatively high electrical conductivity makes the material more attractive for its applications in gas sensor systems. The improvement of TiO2 sensing performance for future applications in CCSs may facilitate the realization of complex systems for security uses and medical diagnoses. These systems may open new perspectives to organize smart security, smart transportation and smart healthcare.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Morgan, J.; O’Donnell, G. Multi-sensor process analysis and performance characterisation in CNC turning—A cyber physical system approach. Int. J. Adv. Manuf. Technol. 2017, 92, 855–868. [Google Scholar] [CrossRef]
  2. Poudel, S.; Ni, Z.; Malla, N. Real-time cyber physical system testbed for power system security and control. Int. J. Electr. Power Energy Syst. 2017, 90, 124–133. [Google Scholar] [CrossRef]
  3. Lee, E.A. The past, present and future of cyber-physical systems: A focus on models. Sensors 2015, 15, 4837–4869. [Google Scholar] [CrossRef] [PubMed]
  4. Haque, S.A.; Aziz, S.M.; Rahman, M. Review of cyber-physical system in healthcare. Int. J. Distrib. Sens. Netw. 2014, 10, 217415. [Google Scholar] [CrossRef]
  5. Rosenzweig, C.; Parry, M.L. Potential impact of climate change on world food supply. Nature 1994, 367, 133–138. [Google Scholar] [CrossRef]
  6. Gou, Y.Y.; Hsu, Y.C.; Chao, H.R.; Que, D.E.; Tayo, L.L.; Lin, C.H.; Huang, S.M.; Tsai, C.H.; Shih, S.I. Pollution characteristics and diurnal variations in polybrominated diphenyl ethers in indoor and outdoor air from vehicle dismantler factories in southern taiwan. Aerosol Air Qual. Res. 2016, 16, 1931–1941. [Google Scholar] [CrossRef]
  7. Kiros, F.; Shakya, K.M.; Rupakheti, M.; Regmi, R.P.; Maharjan, R.; Byanju, R.M.; Naja, M.; Mahata, K.; Kathayat, B.; Peltier, R.E. Variability of anthropogenic gases: Nitrogen oxides, sulfur dioxide, ozone and ammonia in kathmandu valley, nepal. Aerosol Air Qual. Res. 2016, 16, 3088–3101. [Google Scholar] [CrossRef]
  8. Fiordelisi, A.; Piscitelli, P.; Trimarco, B.; Coscioni, E.; Iaccarino, G.; Sorriento, D. The mechanisms of air pollution and particulate matter in cardiovascular diseases. Heart Fail. Rev. 2017, 22, 337–347. [Google Scholar] [CrossRef] [PubMed]
  9. Paulus, C.; Tabary, J.; Pierron, N.B.; Dinten, J.M.; Fabiani, E.; Mathy, F.; Mougel, F.; Rinkel, J.; Verger, L. A multi-energy x-ray backscatter system for explosives detection. J. Instrum. 2013, 8, P04003. [Google Scholar] [CrossRef]
  10. Forbes, T.P.; Sisco, E. Mass spectrometry detection and imaging of inorganic and organic explosive device signatures using desorption electro-flow focusing ionization. Anal. Chem. 2014, 86, 7788–7797. [Google Scholar] [CrossRef] [PubMed]
  11. Sinues, P.M.L.; Kohler, M.; Brown, S.A.; Zenobi, R.; Dallmann, R. Gauging circadian variation in ketamine metabolism by real-time breath analysis. Chem. Commun. 2017, 53, 2264–2267. [Google Scholar] [CrossRef] [PubMed]
  12. Galstyan, V.; Comini, E.; Kholmanov, I.; Ponzoni, A.; Sberveglieri, V.; Poli, N.; Faglia, G.; Sberveglieri, G. A composite structure based on reduced graphene oxide and metal oxide nanomaterials for chemical sensors. Beilstein J. Nanotechnol. 2016, 7, 1421–1427. [Google Scholar] [CrossRef] [PubMed]
  13. Tisch, U.; Haick, H. Chemical sensors for breath gas analysis: The latest developments at the breath analysis summit 2013. J. Breath Res. 2014, 8, 027103. [Google Scholar] [CrossRef] [PubMed]
  14. Peris, M.; Escuder-Gilabert, L. A 21st century technique for food control: Electronic noses. Anal. Chim. Acta 2009, 638, 1–15. [Google Scholar] [CrossRef] [PubMed]
  15. Seesaard, T.; Lorwongtragool, P.; Kerdcharoen, T. Development of fabric-based chemical gas sensors for use as wearable electronic noses. Sensors 2015, 15, 1885–1902. [Google Scholar] [CrossRef] [PubMed]
  16. Galstyan, V.; Comini, E.; Ponzoni, A.; Sberveglieri, V.; Sberveglieri, G. ZnO quasi-1d nanostructures: Synthesis, modeling, and properties for applications in conductometric chemical sensors. Chemosensors 2016, 4, 6. [Google Scholar] [CrossRef]
  17. Galstyan, V.; Comini, E.; Faglia, G.; Sberveglieri, G. TiO2 nanotubes: Recent advances in synthesis and gas sensing properties. Sensors 2013, 13, 14813–14838. [Google Scholar] [CrossRef] [PubMed]
  18. Comini, E.; Faglia, G.; Sberveglieri, G. Solid State Gas Sensing Preface; Springer: New York, NY, USA, 2009; pp. V–VI. [Google Scholar]
  19. Spencer, M.J.S. Gas sensing applications of 1d-nanostructured zinc oxide: Insights from density functional theory calculations. Prog. Mater. Sci. 2012, 57, 437–486. [Google Scholar] [CrossRef]
  20. Galstyan, V.; Comini, E.; Baratto, C.; Ponzoni, A.; Ferroni, M.; Poli, N.; Bontempi, E.; Brisotto, M.; Faglia, G.; Sberveglieri, G. Large surface area biphase titania for chemical sensing. Sens. Actuators B Chem. 2015, 209, 1091–1096. [Google Scholar] [CrossRef]
  21. Comini, E.; Galstyan, V.; Faglia, G.; Bontempi, E.; Sberveglieri, G. Highly conductive titanium oxide nanotubes chemical sensors. Microporous Mesoporous Mater. 2015, 208, 165–170. [Google Scholar] [CrossRef]
  22. Scanlon, D.O.; Dunnill, C.W.; Buckeridge, J.; Shevlin, S.A.; Logsdail, A.J.; Woodley, S.M.; Catlow, C.R.; Powell, M.J.; Palgrave, R.G.; Parkin, I.P.; et al. Band alignment of rutile and anatase TiO2. Nat. Mater. 2013, 12, 798–801. [Google Scholar] [CrossRef] [PubMed]
  23. Galstyan, V.; Vomiero, A.; Concina, I.; Braga, A.; Brisotto, M.; Bontempi, E.; Faglia, G.; Sberveglieri, G. Vertically aligned TiO2 nanotubes on plastic substrates for flexible solar cells. Small 2011, 7, 2437–2442. [Google Scholar] [CrossRef] [PubMed]
  24. Salvaggio, M.G.; Passalacqua, R.; Abate, S.; Perathoner, S.; Centi, G.; Lanza, M.; Stassi, A. Functional nano-textured titania-coatings with self-cleaning and antireflective properties for photovoltaic surfaces. Sol. Energy 2016, 125, 227–242. [Google Scholar] [CrossRef]
  25. Chen, P.; Jin, Z.; Wang, Y.; Wang, M.; Chen, S.; Zhang, Y.; Wang, L.; Zhang, X.; Liu, Y. Interspace modification of titania-nanorod arrays for efficient mesoscopic perovskite solar cells. Appl. Surf. Sci. 2017, 402, 86–91. [Google Scholar] [CrossRef]
  26. Ellis, B.L.; Knauth, P.; Djenizian, T. Three-dimensional self-supported metal oxides for advanced energy storage. Adv. Mater. 2014, 26, 3368–3397. [Google Scholar] [CrossRef] [PubMed]
  27. Li, Y.F.; Aschauer, U.; Chen, J.; Selloni, A. Adsorption and reactions of O2 on anatase TiO2. Acc. Chem. Res. 2014, 47, 3361–3368. [Google Scholar] [CrossRef] [PubMed]
  28. Sing, K.S.W. Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity (recommendations 1984). Pure Appl. Chem. 1985, 57, 603–609. [Google Scholar] [CrossRef]
  29. Wilson, A.D. Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath. Metabolites 2015, 5, 140–163. [Google Scholar] [CrossRef] [PubMed]
  30. Kim, K.H.; Jahan, S.A.; Kabir, E. A review of breath analysis for diagnosis of human health. TrAC Trends Anal. Chem. 2012, 33, 1–8. [Google Scholar] [CrossRef]
  31. Pereira, J.; Porto-Figueira, P.; Cavaco, C.; Taunk, K.; Rapole, S.; Dhakne, R.; Nagarajaram, H.; Câmara, S.J. Breath analysis as a potential and non-invasive frontier in disease diagnosis: An overview. Metabolites 2015, 5, 3–55. [Google Scholar] [CrossRef] [PubMed]
  32. Huang, J.J.; Yu, S.I.; Syu, H.Y. Development of the smart toilet equipment with measurements of physiological parameters. In Proceedings of the 2012 9th International Conference on Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (Uic/Atc), Fukuoka, Japan, 4–7 September 2012; pp. 9–16. [Google Scholar]
  33. Imai, H.; Takei, Y.; Shimizu, K.; Matsuda, M.; Hirashima, H. Direct preparation of anatase TiO2 nanotubes in porous alumina membranes. J. Mater. Chem. 1999, 9, 2971–2972. [Google Scholar] [CrossRef]
  34. Hoyer, P. Formation of a titanium dioxide nanotube array. Langmuir 1996, 12, 1411–1413. [Google Scholar] [CrossRef]
  35. Zwilling, V.; Darque-Ceretti, E.; Boutry-Forveille, A.; David, D.; Perrin, M.Y.; Aucouturier, M. Structure and physicochemistry of anodic oxide films on titanium and TA6V alloy. Surf. Interface Anal. 1999, 27, 629–637. [Google Scholar] [CrossRef]
  36. Song, J.; Zheng, M.; Yuan, X.; Li, Q.; Wang, F.; Ma, L.; You, Y.; Liu, S.; Liu, P.; Jiang, D.; et al. Electrochemically induced Ti3+ self-doping of TiO2 nanotube arrays for improved photoelectrochemical water splitting. J. Mater. Sci. 2017, 52, 6976–6986. [Google Scholar] [CrossRef]
  37. Terracciano, M.; Galstyan, V.; Rea, I.; Casalino, M.; De Stefano, L.; Sbervegleri, G. Chemical modification of TiO2 nanotube arrays for label-free optical biosensing applications. Appl. Surf. Sci. 2017, 419, 235–240. [Google Scholar] [CrossRef]
  38. Ghedini, E.; Nichele, V.; Signoretto, M.; Cerrato, G. Structure-directing agents for the synthesis of TiO2-based drug-delivery systems. Chem. Eur. J. 2012, 18, 10653–10660. [Google Scholar] [CrossRef] [PubMed]
  39. António, G.B.C.; Alexandre, C.B.; Vardan, G.; Guido, F.; Giorgio, S.; Isabel, M.M.S. Synthesis and electrochemical study of a hybrid structure based on PDMS-TEOS and titania nanotubes for biomedical applications. Nanotechnology 2014, 25, 365701. [Google Scholar]
  40. Park, J.Y.; Kim, H.H.; Rana, D.; Jamwal, D.; Katoch, A. Surface-area-controlled synthesis of porous TiO2 thin films for gas-sensing applications. Nanotechnology 2017, 28, 095502. [Google Scholar] [CrossRef] [PubMed]
  41. Ozkan, S.; Nguyen, N.T.; Mazare, A.; Hahn, R.; Cerri, I.; Schmuki, P. Fast growth of TiO2 nanotube arrays with controlled tube spacing based on a self-ordering process at two different scales. Electrochem. Commun. 2017, 77, 98–102. [Google Scholar] [CrossRef]
  42. Chang, Y.H.; Liu, C.M.; Chen, C.; Cheng, H.E.; Lu, T.C. The differences in optical characteristics of TiO2 and TiO2/AAO nanotube arrays fabricated by atomic layer deposition. J. Electrochem. Soc. 2012, 159, K136–K140. [Google Scholar] [CrossRef]
  43. Zhang, Y.W.; Wang, M.C.; He, H.T.; Li, H. Effect of heat treatment on the crystalline structure and hydrophilic properties of TiO2 porous thin films. J. Sol-Gel Sci. Technol. 2016, 80, 881–892. [Google Scholar] [CrossRef]
  44. Henrist, C.; Dewalque, J.; Cloots, R.; Vertruyen, B.; Jonlet, J.; Colson, P. Hierarchical porous TiO2 thin films by soft and dual templating a quantitative approach of specific surface and porosity. Thin Solid Films 2013, 539, 188–193. [Google Scholar] [CrossRef]
  45. Perez-Carrillo, L.A.; Vilchez, S.; Mosa, J.; Aparicio, M.; Castro, Y.; Duran, A.; Tascon, J.M.D.; Esquena, J. Synthesis and properties of TiO2-P2O5 and SiO2-TiO2-P2O5 porous hybrids obtained by templating in highly concentrated emulsions. Ceram. Int. 2016, 42, 18965–18973. [Google Scholar] [CrossRef]
  46. Yang, Y.; Jin, Q.; Mao, D.; Qi, J.; Wei, Y.Z.; Yu, R.B.; Li, A.R.; Li, S.Z.; Zhao, H.J.; Ma, Y.W.; et al. Dually ordered porous TiO2-rGO composites with controllable light absorption properties for efficient solar energy conversion. Adv. Mater. 2017, 29. [Google Scholar] [CrossRef] [PubMed]
  47. Mayon, Y.O.; Duong, T.; Nasiri, N.; White, T.P.; Tricoli, A.; Catchpole, K.R. Flame-made ultra-porous TiO2 layers for perovskite solar cells. Nanotechnology 2016, 27, 505403. [Google Scholar] [CrossRef] [PubMed]
  48. Zhang, J.K.; Yu, Z.B.; Gao, Z.; Ge, H.B.; Zhao, S.C.; Chen, C.Q.; Chen, S.; Tong, X.L.; Wang, M.H.; Zheng, Z.F.; et al. Porous TiO2 nanotubes with spatially separated platinum and CoOx cocatalysts produced by atomic layer deposition for photocatalytic hydrogen production. Angew. Chem. Int. Ed. 2017, 56, 816–820. [Google Scholar] [CrossRef] [PubMed]
  49. Borbon-Nunez, H.A.; Dominguez, D.; Munoz-Munoz, F.; Lopez, J.; Romo-Herrera, J.; Soto, G.; Tiznado, H. Fabrication of hollow TiO2 nanotubes through atomic layer deposition and mwcnt templates. Powder Technol. 2017, 308, 249–257. [Google Scholar] [CrossRef]
  50. Panda, S.K.; Shin, H. Electrochemical performance of amorphous and anatase TiO2 nanotube array-based anodes fabricated by atomic layer deposition. Mater. Res. Innov. 2015, 19, 694–699. [Google Scholar] [CrossRef]
  51. Chang, Y.H.; Liu, C.M.; Chen, C.; Cheng, H.E. The heterojunction effects of TiO2 nanotubes fabricated by atomic layer deposition on photocarrier transportation direction. Nanoscale Res. Lett. 2012, 7, 231. [Google Scholar] [CrossRef] [PubMed]
  52. Chang, Y.H.; Liu, C.M.; Chen, C.; Cheng, H.E. The effect of geometric structure on photoluminescence characteristics of 1-D TiO2 nanotubes and 2-D TiO2 films fabricated by atomic layer deposition. J. Electrochem. Soc. 2012, 159, D401–D405. [Google Scholar] [CrossRef]
  53. Huang, Y.J.; Pandraud, G.; Sarro, P.M. The atomic layer deposition array defined by etch-back technique: A new method to fabricate TiO2 nanopillars, nanotubes and nanochannel arrays. Nanotechnology 2012, 23, 485306. [Google Scholar] [CrossRef] [PubMed]
  54. Galstyan, V.; Vomiero, A.; Comini, E.; Faglia, G.; Sberveglieri, G. TiO2 nanotubular and nanoporous arrays by electrochemical anodization on different substrates. RSC Adv. 2011, 1, 1038–1044. [Google Scholar] [CrossRef]
  55. Xiao, S.S.; Bi, F.; Zhao, L.; Wang, L.Y.; Gai, G.Q. Design and synthesis of H-TiO2/MnO2 core-shell nanotube arrays with high capacitance and cycling stability for supercapacitors. J. Mater. Sci. 2017, 52, 7744–7753. [Google Scholar] [CrossRef]
  56. Jiang, J.; Fang, H.; Zhang, X.; He, K.; Wei, Z.; Pang, X.; Dai, J. Electrochemical synthesis of aligned amorphous carbon nanotubes/TiO2 nanotubes heterostructured arrays and its field emission properties. Diam. Relat. Mater. 2017, 74, 205–211. [Google Scholar] [CrossRef]
  57. Tang, X.H.; Raskin, J.P.; Lahem, D.; Krumpmann, A.; Decroly, A.; Debliquy, M. A formaldehyde sensor based on molecularly-imprinted polymer on a TiO2 nanotube array. Sensors 2017, 17, 675. [Google Scholar] [CrossRef] [PubMed]
  58. Baran, E.; Yazıcı, B. Preparation and characterization of poly (3-hexylthiophene) sensitized Ag doped TiO2 nanotubes and its carrier density under solar light illumination. Thin Solid Films 2017, 627, 82–93. [Google Scholar] [CrossRef]
  59. Ozkan, S.; Nguyen, N.T.; Hwang, I.; Mazare, A.; Schmuki, P. Highly conducting spaced TiO2 nanotubes enable defined conformal coating with nanocrystalline Nb2O5 and high performance supercapacitor applications. Small 2017, 13, 1603821. [Google Scholar] [CrossRef] [PubMed]
  60. Cai, H.; Liang, P.P.; Hu, Z.G.; Shi, L.Q.; Yang, X.; Sun, J.; Xu, N.; Wu, J.D. Enhanced photoelectrochemical activity of ZnO-coated TiO2 nanotubes and its dependence on ZnO coating thickness. Nanoscale Res. Lett. 2016, 11, 104. [Google Scholar] [CrossRef] [PubMed]
  61. Sun, S.P.; Liao, X.M.; Sun, Y.; Yin, G.F.; Yao, Y.D.; Huang, Z.B.; Pu, X.M. Facile synthesis of a alpha-MoO3 nanoplate/TiO2 nanotube composite for high electrochemical performance. RSC Adv. 2017, 7, 22983–22989. [Google Scholar] [CrossRef]
  62. Han, C.; Shao, Q.; Liu, M.; Ge, S.; Liu, Q.; Lei, J. 5,10,15,20-tetrakis(4-chlorophenyl)porphyrin decorated TiO2 nanotube arrays: Composite photoelectrodes for visible photocurrent generation and simultaneous degradation of organic pollutant. Mater. Sci. Semicond. Process. 2016, 56, 166–173. [Google Scholar] [CrossRef]
  63. Lee, H.; Joo, H.-Y.; Yoon, C.; Lee, J.; Lee, H.; Choi, J.; Park, B.; Choi, T. Ferroelectric BiFeO3/TiO2 nanotube heterostructures for enhanced photoelectrochemical performance. Curr. Appl. Phys. 2017, 17, 679–683. [Google Scholar] [CrossRef]
  64. Ali, I.; Kim, S.-R.; Kim, S.-P.; Kim, J.-O. Anodization of bismuth doped TiO2 nanotubes composite for photocatalytic degradation of phenol in visible light. Catal. Today 2017, 282, 31–37. [Google Scholar] [CrossRef]
  65. Galstyan, V.; Comini, E.; Faglia, G.; Vomiero, A.; Borgese, L.; Bontempi, E.; Sberveglieri, G. Fabrication and investigation of gas sensing properties of Nb-doped TiO2 nanotubular arrays. Nanotechnology 2012, 23, 235706. [Google Scholar] [CrossRef] [PubMed]
  66. Chatzitakis, A.; Grandcolas, M.; Xu, K.; Mei, S.; Yang, J.; Jensen, I.J.T.; Simon, C.; Norby, T. Assessing the photoelectrochemical properties of C, N, F codoped TiO2 nanotubes of different lengths. Catal. Today 2017, 287, 161–168. [Google Scholar] [CrossRef]
  67. Sun, K.C.; Qadir, M.B.; Jeong, S.H. Hydrothermal synthesis of TiO2 nanotubes and their application as an over-layer for dye-sensitized solar cells. RSC Adv. 2014, 4, 23223–23230. [Google Scholar] [CrossRef]
  68. Aphairaj, D.; Wirunmongkol, T.; Niyomwas, S.; Pavasupree, S.; Limsuwan, P. Synthesis of anatase TiO2 nanotubes derived from a natural leucoxene mineral by the hydrothermal method. Ceram. Int. 2014, 40, 9241–9247. [Google Scholar] [CrossRef]
  69. Jo, W.K.; Lee, J.Y.; Chun, H.H. Titania nanotubes grown on carbon fibers for photocatalytic decomposition of gas-phase aromatic pollutants. Materials 2014, 7, 1801–1813. [Google Scholar] [CrossRef] [PubMed]
  70. Xie, C.; Yang, S.H.; Shi, J.W.; Niu, C.M. Highly crystallized C-doped mesoporous anatase TiO2 with visible light photocatalytic activity. Catalysts 2016, 6, 117. [Google Scholar] [CrossRef]
  71. Luo, Q.; Cai, Q.; Li, X.; Chen, X. Characterization and photocatalytic activity of large-area single crystalline anatase TiO2 nanotube films hydrothermal synthesized on plasma electrolytic oxidation seed layers. J. Alloys Compd. 2014, 597, 101–109. [Google Scholar] [CrossRef]
  72. Dhandole, L.K.; Ryu, J.; Lim, J.M.; Oh, B.T.; Park, J.H.; Kim, B.G.; Jang, J.S. Hydrothermal synthesis of titanate nanotubes from TiO2 nanorods prepared via a molten salt flux method as an effective adsorbent for strontium ion recovery. RSC Adv. 2016, 6, 98449–98456. [Google Scholar] [CrossRef]
  73. Chen, Q.F.; Sun, X.N.; Liu, A.P.; Zhang, Q.F.; Cao, G.Z.; Zhou, X.Y. Photovoltaic performance of dye-sensitized solar cells using TiO2 nanotubes aggregates produced by hydrothermal synthesis. Int. J. Mod. Phys. B 2015, 29, 1542050. [Google Scholar] [CrossRef]
  74. Cho, S.H.; Adhikari, R.; Kim, S.H.; Kim, T.H.; Lee, S.W. Microwave assisted hydrothermal synthesis and structural characterization of TiO2 nanotubes. J. Nanosci. Nanotechnol. 2015, 15, 7391–7394. [Google Scholar] [CrossRef] [PubMed]
  75. Ranjitha, A.; Muthukumarasamy, N.; Thambidurai, M.; Velauthapillai, D.; Agilan, S.; Balasundaraprabhu, R. Effect of reaction time on the formation of TiO2 nanotubes prepared by hydrothermal method. Optik 2015, 126, 2491–2494. [Google Scholar] [CrossRef]
  76. Chu, M.; Tang, Y.; Rong, N.; Cui, X.; Liu, F.; Li, Y.; Zhang, C.; Xiao, P.; Zhang, Y. Hydrothermal synthesis, and tailoring the growth of Ti-supported TiO2 nanotubes with thick tube walls. Mater. Des. 2016, 97, 257–267. [Google Scholar] [CrossRef]
  77. Zhang, X.J.; Wang, M.; Zhu, G.; Li, D.S.; Yan, D.; Lu, T.; Pan, L.K. Porous cake-like TiO2 derived from metal-organic frameworks as superior anode material for sodium ion batteries. Ceram. Int. 2017, 43, 2398–2402. [Google Scholar] [CrossRef]
  78. Razali, M.H.; Noor, A.F.M.; Yusoff, M. Hydrothermal synthesis and characterization of Cu2+/F co-doped titanium dioxide (TiO2) nanotubes as photocatalyst for methyl orange degradation. Sci. Adv. Mater. 2017, 9, 1032–1041. [Google Scholar] [CrossRef]
  79. Zhang, P.; Mo, Z.; Wang, Y.; Han, L.; Zhang, C.; Zhao, G.; Li, Z. One-step hydrothermal synthesis of magnetic responsive TiO2 nanotubes/Fe3O4/graphene composites with desirable photocatalytic properties and reusability. RSC Adv. 2016, 6, 39348–39355. [Google Scholar] [CrossRef]
  80. Zhang, Y.; Zhu, W.; Cui, X.; Yao, W.; Duan, T. One-step hydrothermal synthesis of iron and nitrogen co-doped TiO2 nanotubes with enhanced visible-light photocatalytic activity. CrystEngComm 2015, 17, 8368–8376. [Google Scholar] [CrossRef]
  81. Wei, N.; Cui, H.Z.; Wang, C.M.; Zhang, G.S.; Song, Q.; Sun, W.X.; Song, X.J.; Sun, M.Y.; Tian, J. Bi2O3 nanoparticles incorporated porous TiO2 films as an effective p-n junction with enhanced photocatalytic activity. J. Am. Ceram. Soc. 2017, 100, 1339–1349. [Google Scholar] [CrossRef]
  82. Reddy, N.L.; Kumar, S.; Krishnan, V.; Sathish, M.; Shankar, M.V. Multifunctional Cu/Ag quantum dots on TiO2 nanotubes as highly efficient photocatalysts for enhanced solar hydrogen evolution. J. Catal. 2017, 350, 226–239. [Google Scholar] [CrossRef]
  83. Niu, X.; Yu, J.; Wang, L.; Fu, C.; Wang, J.; Wang, L.; Zhao, H.; Yang, J. Enhanced photocatalytic performance of TiO2 nanotube based heterojunction photocatalyst via the coupling of graphene and FTO. Appl. Surf. Sci. 2017, 413, 7–15. [Google Scholar] [CrossRef]
  84. Wei, X.Z.; Wang, H.J.; Zhu, G.F.; Chen, J.Y.; Zhu, L.P. Iron-doped TiO2 nanotubes with high photocatalytic activity under visible light synthesized by an ultrasonic-assisted sol-hydrothermal method. Ceram. Int. 2013, 39, 4009–4016. [Google Scholar] [CrossRef]
  85. Yamazoe, N.; Shimanoe, K. Theory of power laws for semiconductor gas sensors. Sens. Actuators B Chem. 2008, 128, 566–573. [Google Scholar] [CrossRef]
  86. Sakai, G.; Matsunaga, N.; Shimanoe, K.; Yamazoe, N. Theory of gas-diffusion controlled sensitivity for thin film semiconductor gas sensor. Sens. Actuators B Chem. 2001, 80, 125–131. [Google Scholar] [CrossRef]
  87. Barsan, N.; Schweizer-Berberich, M.; Gopel, W. Fundamental and practical aspects in the design of nanoscaled SnO2 gas sensors: A status report. Fresenius J. Anal. Chem. 1999, 365, 287–304. [Google Scholar] [CrossRef]
  88. Madou, M.J.; Morrison, S.R. Chemical Sensing with Solid State Devices; Academic press: Boston, MA, USA, 1989; pp. 1–556. [Google Scholar]
  89. Costanzo, F.; Silvestrelli, P.L.; Ancilotto, F. Physisorption, diffusion, and chemisorption pathways of H2 molecule on graphene and on (2,2) carbon nanotube by first principles calculations. J. Chem. Theory Comput. 2012, 8, 1288–1294. [Google Scholar] [CrossRef] [PubMed]
  90. Lee, K.; Mazare, A.; Schmuki, P. One-dimensional titanium dioxide nanomaterials: Nanotubes. Chem. Rev. 2014, 114, 9385–9454. [Google Scholar] [CrossRef] [PubMed]
  91. Hoffmann, M.R.; Martin, S.T.; Choi, W.Y.; Bahnemann, D.W. Environmental applications of semiconductor photocatalysis. Chem. Rev. 1995, 95, 69–96. [Google Scholar] [CrossRef]
  92. Zakrzewska, K. Gas sensing mechanism of TiO2-based thin films. Vacuum 2004, 74, 335–338. [Google Scholar] [CrossRef]
  93. Zakrzewska, K.; Radecka, M. TiO2-based nanomaterials for gas sensing-influence of anatase and rutile contributions. Nanoscale Res. Lett. 2017, 12, 89. [Google Scholar] [CrossRef] [PubMed]
  94. Barsan, N.; Rebholz, J.; Weimar, U. Conduction mechanism switch for SnO2 based sensors during operation in application relevant conditions; implications for modeling of sensing. Sens. Actuators B Chem. 2015, 207, 455–459. [Google Scholar] [CrossRef]
  95. Yu, S.; Wang, S.; Lu, M.; Zuo, L. A novel polyimide based micro heater with high temperature uniformity. Sens. Actuators A Phys. 2017, 257, 58–64. [Google Scholar] [CrossRef]
  96. Quintero, A.V.; Molina-Lopez, F.; Smits, E.C.P.; Danesh, E.; van den Brand, J.; Persaud, K.; Oprea, A.; Barsan, N.; Weimar, U.; de Rooij, N.F.; et al. Smart rfid label with a printed multisensor platform for environmental monitoring. Flex. Print. Electron. 2016, 1. [Google Scholar] [CrossRef]
  97. Rieu, M.; Camara, M.; Tournier, G.; Viricelle, J.P.; Pijolat, C.; de Rooij, N.F.; Briand, D. Fully inkjet printed SnO2 gas sensor on plastic substrate. Sens. Actuators B Chem. 2016, 236, 1091–1097. [Google Scholar] [CrossRef]
  98. Galstyan, V.; Comini, E.; Baratto, C.; Ponzoni, A.; Bontempi, E.; Brisotto, M.; Faglia, G.; Sberveglieri, G. Synthesis of self-assembled chain-like zno nanostructures on stiff and flexible substrates. Crystengcomm 2013, 15, 2881–2887. [Google Scholar] [CrossRef]
  99. Jaaniso, R.; Tan, O.K. Semiconductor Gas Sensors; Woodhead Publishing Ltd.: Cambridge, UK, 2013; pp. 1–552. [Google Scholar]
  100. Galstyan, V.; Comini, E.; Baratto, C.; Faglia, G.; Sberveglieri, G. Nanostructured ZnO chemical gas sensors. Ceram. Int. 2015, 41, 14239–14244. [Google Scholar] [CrossRef]
  101. Das, S.; Jayaraman, V. SnO2: A comprehensive review on structures and gas sensors. Prog. Mater. Sci. 2014, 66, 112–255. [Google Scholar] [CrossRef]
  102. Kuang, Q.; Lao, C.S.; Wang, Z.L.; Xie, Z.X.; Zheng, L.S. High-sensitivity humidity sensor based on a single SnO2 nanowire. J. Am. Chem. Soc. 2007, 129, 6070–6071. [Google Scholar] [CrossRef] [PubMed]
  103. Parthibavarman, M.; Hariharan, V.; Sekar, C. High-sensitivity humidity sensor based on SnO2 nanoparticles synthesized by microwave irradiation method. Mater. Sci. Eng. C 2011, 31, 840–844. [Google Scholar] [CrossRef]
  104. Tso, C.P.; Zhung, C.M.; Shih, Y.H.; Tseng, Y.M.; Wu, S.C.; Doong, R.A. Stability of metal oxide nanoparticles in aqueous solutions. Water Sci. Technol. 2010, 61, 127–133. [Google Scholar] [CrossRef] [PubMed]
  105. Sadaoka, Y.; Mori, M. Detection of VOC in air with a planar-type potentiometric gas sensor based on YSZ with a Pt electrode modified with TiO2. Sens. Actuators B Chem. 2017, 248, 878–885. [Google Scholar] [CrossRef]
  106. Poongodi, S.; Kumar, P.S.; Mangalaraj, D.; Ponpandian, N.; Meena, P.; Masuda, Y.; Lee, C. Electrodeposition of WO3 nanostructured thin films for electrochromic and H2S gas sensor applications. J. Alloys Compd. 2017, 719, 71–81. [Google Scholar] [CrossRef]
  107. Sun, L.; Fang, W.; Yang, Y.; Yu, H.; Wang, T.; Dong, X.; Liu, G.; Wang, J.; Yu, W.; Shi, K. Highly active and porous single-crystal In2O3 nanosheet for nox gas sensor with excellent response at room temperature. RSC Adv. 2017, 7, 33419–33425. [Google Scholar] [CrossRef]
  108. Mirzaei, A.; Sun, G.-J.; Lee, J.K.; Lee, C.; Choi, S.; Kim, H.W. Hydrogen sensing properties and mechanism of NiO-Nb2O5 composite nanoparticle-based electrical gas sensors. Ceram. Int. 2017, 43, 5247–5254. [Google Scholar] [CrossRef]
  109. Wan, Y.; Liu, J.; Fu, X.; Zhang, X.; Meng, F.; Yu, X.; Jin, Z.; Kong, L.; Liu, J. Modification of coral-like SnO2 nanostructures with dense TiO2 nanoparticles for a self-cleaning gas sensor. Talanta 2012, 99, 394–403. [Google Scholar] [CrossRef] [PubMed]
  110. Yang, J.; Wang, G.; Wang, D.; Liu, C.; Zhang, Z. A self-cleaning coating material of TiO2 porous microspheres/cement composite with high-efficient photocatalytic depollution performance. Mater. Lett. 2017, 200, 1–5. [Google Scholar] [CrossRef]
  111. Wang, F.; Zhang, G.; Zhao, Z.; Tan, H.; Yu, W.; Zhang, X.; Sun, Z. TiO2 nanosheet array thin film for self-cleaning coating. RSC Adv. 2015, 5, 9861–9864. [Google Scholar] [CrossRef]
  112. Lai, Y.; Tang, Y.; Gong, J.; Gong, D.; Chi, L.; Lin, C.; Chen, Z. Transparent superhydrophobic/superhydrophilic TiO2-based coatings for self-cleaning and anti-fogging. J. Mater. Chem. 2012, 22, 7420–7426. [Google Scholar] [CrossRef]
  113. Charpentier, P.A.; Burgess, K.; Wang, L.; Chowdhury, R.R.; Lotus, A.F.; Moula, G. Nano-TiO2/polyurethane composites for antibacterial and self-cleaning coatings. Nanotechnology 2012, 23, 425606. [Google Scholar] [CrossRef] [PubMed]
  114. Zhang, X.X.; Yu, L.; Tie, J.; Dong, X.C. Gas sensitivity and sensing mechanism studies on Au-doped TiO2 nanotube arrays for detecting SF6 decomposed components. Sensors 2014, 14, 19517–19532. [Google Scholar] [CrossRef] [PubMed]
  115. Park, S.; Kim, S.; Park, S.; Lee, W.I.; Lee, C. Effects of functionalization of TiO2 nanotube array sensors with pd nanoparticles on their selectivity. Sensors 2014, 14, 15849–15860. [Google Scholar] [CrossRef] [PubMed]
  116. Zhang, X.X.; Tie, J.; Zhang, J.B. A Pt-doped TiO2 nanotube arrays sensor for detecting SF6 decomposition products. Sensors 2013, 13, 14764–14776. [Google Scholar] [CrossRef] [PubMed]
  117. Moon, J.; Hedman, H.-P.; Kemell, M.; Tuominen, A.; Punkkinen, R. Hydrogen sensor of Pd-decorated tubular TiO2 layer prepared by anodization with patterned electrodes on SiO2/Si substrate. Sens. Actuators B Chem. 2016, 222, 190–197. [Google Scholar] [CrossRef]
  118. Lin, Y.H.; Hsueh, Y.C.; Lee, P.S.; Wang, C.C.; Wu, J.M.; Perng, T.P.; Shih, H.C. Fabrication of tin dioxide nanowires with ultrahigh gas sensitivity by atomic layer deposition of platinum. J. Mater. Chem. 2011, 21, 10552–10558. [Google Scholar] [CrossRef]
  119. Hübner, M.; Bârsan, N.; Weimar, U. Influences of Al, Pd and Pt additives on the conduction mechanism as well as the surface and bulk properties of SnO2 based polycrystalline thick film gas sensors. Sens. Actuators B Chem. 2012, 171, 172–180. [Google Scholar] [CrossRef]
  120. Hübner, M.; Hafner, S.; Bârsan, N.; Weimar, U. The influence of Pt doping on the sensing and conduction mechanism of SnO2 based thick film sensors. Procedia Eng. 2011, 25, 104–107. [Google Scholar] [CrossRef]
  121. Li, Z.H.; Ding, D.Y.; Liu, Q.; Ning, C.Q.; Wang, X.W. Ni-doped TiO2 nanotubes for wide-range hydrogen sensing. Nanoscale Res. Lett. 2014, 9, 118. [Google Scholar] [CrossRef] [PubMed]
  122. Li, Z.; Ding, D.; Liu, Q.; Ning, C. Hydrogen sensing with Ni-doped TiO2 nanotubes. Sensors 2013, 13, 8393–8402. [Google Scholar] [CrossRef] [PubMed]
  123. Gönüllü, Y.; Haidry, A.A.; Saruhan, B. Nanotubular Cr-doped TiO2 for use as high-temperature NO2 gas sensor. Sens. Actuators B Chem. 2015, 217, 78–87. [Google Scholar] [CrossRef]
  124. Sennik, E.; Kilinc, N.; Ozturk, Z.Z. Electrical and VOC sensing properties of anatase and rutile TiO2 nanotubes. J. Alloys Compd. 2014, 616, 89–96. [Google Scholar] [CrossRef]
  125. Kılınç, N.; Şennik, E.; Işık, M.; Ahsen, A.Ş.; Öztürk, O.; Öztürk, Z.Z. Fabrication and gas sensing properties of C-doped and un-doped TiO2 nanotubes. Ceram. Int. 2014, 40, 109–115. [Google Scholar] [CrossRef]
  126. Li, Z.H.; Ding, D.Y.; Ning, C.Q. P-type hydrogen sensing with Al- and V-doped TiO2 nanostructures. Nanoscale Res. Lett. 2013, 8, 25. [Google Scholar] [CrossRef] [PubMed]
  127. Zhao, P.X.; Tang, Y.; Mao, J.; Chen, Y.X.; Song, H.; Wang, J.W.; Song, Y.; Liang, Y.Q.; Zhang, X.M. One-dimensional MoS2-decorated TiO2 nanotube gas sensors for efficient alcohol sensing. J. Alloys Compd. 2016, 674, 252–258. [Google Scholar] [CrossRef]
  128. Tomer, V.K.; Duhan, S. Ordered mesoporous Ag-doped TiO2/SnO2 nanocomposite based highly sensitive and selective voc sensors. J. Mater. Chem. A 2016, 4, 1033–1043. [Google Scholar] [CrossRef]
  129. Su, J.; Zou, X.X.; Zou, Y.C.; Li, G.D.; Wang, P.P.; Chen, J.S. Porous titania with heavily self-doped Ti3+ for specific sensing of CO at room temperature. Inorg. Chem. 2013, 52, 5924–5930. [Google Scholar] [CrossRef] [PubMed]
  130. Wang, Q.; Pan, Y.Z.; Huang, S.S.; Ren, S.T.; Li, P.; Li, J.J. Resistive and capacitive response of nitrogen-doped TiO2 nanotubes film humidity sensor. Nanotechnology 2011, 22, 025501. [Google Scholar] [CrossRef] [PubMed]
  131. Mohamed, E.I.; Linder, R.; Perriello, G.; Di Daniele, N.; Poppl, S.J.; De Lorenzo, A. Predicting type 2 diabetes using an electronic nose-base artificial neural network analysis. Diabetes Nutr. Metab. 2002, 15, 215–221. [Google Scholar] [PubMed]
  132. Teshima, N.; Li, J.; Toda, K.; Dasgupta, P.K. Determination of acetone in breath. Anal. Chim. Acta 2005, 535, 189–199. [Google Scholar] [CrossRef]
  133. Tobaldi, D.M.; Leonardi, S.G.; Pullar, R.C.; Seabra, M.P.; Neri, G.; Labrincha, J.A. Sensing properties and photochromism of Ag-TiO2 nano-heterostructures. J. Mater. Chem. A 2016, 4, 9600–9613. [Google Scholar] [CrossRef]
Figure 1. The framework of the proposed CCS.
Figure 1. The framework of the proposed CCS.
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Figure 2. The schematic representation of the proposed CCS to improve the process safety and the quality of life. (a) represents an area of a smart city (b) based on the cyber home, cyber industry, cyber mobile and cyber society domains. The industrial sector, the hydrogen fuel stations, the streets, the hydrogen powered cars and the public buildings are equipped with the chemical gas sensors for the outdoor and indoor monitoring.
Figure 2. The schematic representation of the proposed CCS to improve the process safety and the quality of life. (a) represents an area of a smart city (b) based on the cyber home, cyber industry, cyber mobile and cyber society domains. The industrial sector, the hydrogen fuel stations, the streets, the hydrogen powered cars and the public buildings are equipped with the chemical gas sensors for the outdoor and indoor monitoring.
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Figure 3. CCS applications coupling the cyber and object domain for the security of public transit and transport services. Trucks, buses, trains and train stations, airports, planes, luggage stores and luggage check instruments are all equipped with the chemical sensors.
Figure 3. CCS applications coupling the cyber and object domain for the security of public transit and transport services. Trucks, buses, trains and train stations, airports, planes, luggage stores and luggage check instruments are all equipped with the chemical sensors.
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Figure 4. (ag) the design and architecture of medical CCS for the breath analysis. (h) A smart toilet for the analysis of urine.
Figure 4. (ag) the design and architecture of medical CCS for the breath analysis. (h) A smart toilet for the analysis of urine.
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Figure 5. The schematics of the ALD system.
Figure 5. The schematics of the ALD system.
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Figure 6. Schematic of an electrochemical anodization system.
Figure 6. Schematic of an electrochemical anodization system.
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Figure 7. (a) 2D AFM topography of the alumina substrate. (b) Surface morphology of Nb-TiO2 nanotubes, (c) magnification of (b), (d) cross-sectional view of the anodized layer (e) EDX spectrum confirming the presence of 4.5 ± 0.5 wt % of Nb with respect to Ti, (f) the bottom-view of the tubular layer. (g,h) AFM images of the single nanotubes: (g) 3D topography and (h) the associated phase signal. Reproduced with permission from [20]. Copyright (2014) Elsevier B.V.
Figure 7. (a) 2D AFM topography of the alumina substrate. (b) Surface morphology of Nb-TiO2 nanotubes, (c) magnification of (b), (d) cross-sectional view of the anodized layer (e) EDX spectrum confirming the presence of 4.5 ± 0.5 wt % of Nb with respect to Ti, (f) the bottom-view of the tubular layer. (g,h) AFM images of the single nanotubes: (g) 3D topography and (h) the associated phase signal. Reproduced with permission from [20]. Copyright (2014) Elsevier B.V.
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Figure 8. Schematic illustration of a hydrothermal growth system.
Figure 8. Schematic illustration of a hydrothermal growth system.
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Figure 9. Scanning electron microscopy (SEM) of titania nanotube arrays grown on un-activated carbon fibers (TNTUCFs) with different TiO2 loadings (TNTUCF-5, TNTUCF-7.5, TNTUCF-10, TNTUCF-12.5, TNTUCF-15) and TiO2-coated UCF (TUCF). Reproduced with permission from [69].
Figure 9. Scanning electron microscopy (SEM) of titania nanotube arrays grown on un-activated carbon fibers (TNTUCFs) with different TiO2 loadings (TNTUCF-5, TNTUCF-7.5, TNTUCF-10, TNTUCF-12.5, TNTUCF-15) and TiO2-coated UCF (TUCF). Reproduced with permission from [69].
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Figure 10. (a) The structural and the band model of oxide material showing the role of pores contact regions in determining the conductance over the TiO2 due to the adsorption/desorption process of oxidizing and reducing gases. (b) The model illustrating the band bending in the metal oxide material due to the ionosorption of oxygen on the material surface. EC, EV, and EF denote the energy of the conduction band, valence band, and the Fermi level, respectively.
Figure 10. (a) The structural and the band model of oxide material showing the role of pores contact regions in determining the conductance over the TiO2 due to the adsorption/desorption process of oxidizing and reducing gases. (b) The model illustrating the band bending in the metal oxide material due to the ionosorption of oxygen on the material surface. EC, EV, and EF denote the energy of the conduction band, valence band, and the Fermi level, respectively.
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Figure 11. The design of a chemiresistive transducer. (a) The top-view of transducer: The porous structure and the interdigitated electrodes obtained on the porous array to read-out the signal. (b) The bottom-view of transducer with the heater deposited on the backside of substrate.
Figure 11. The design of a chemiresistive transducer. (a) The top-view of transducer: The porous structure and the interdigitated electrodes obtained on the porous array to read-out the signal. (b) The bottom-view of transducer with the heater deposited on the backside of substrate.
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Figure 12. Comparison of the responses of pristine and Pd-functionalized TiO2 nanotubes to different gases. Reproduced with permission from [115].
Figure 12. Comparison of the responses of pristine and Pd-functionalized TiO2 nanotubes to different gases. Reproduced with permission from [115].
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Figure 13. The response of niobium-containing TiO2 nanotubes towards 500 ppm of H2, 500 ppm of CO, 50 ppm of acetone and 50 ppm of ethanol at different operating temperatures (100, 200, 300, 400, 500 °C) with 40%RH @20 °C. Reproduced with permission from [20]. Copyright (2014) Elsevier B.V.
Figure 13. The response of niobium-containing TiO2 nanotubes towards 500 ppm of H2, 500 ppm of CO, 50 ppm of acetone and 50 ppm of ethanol at different operating temperatures (100, 200, 300, 400, 500 °C) with 40%RH @20 °C. Reproduced with permission from [20]. Copyright (2014) Elsevier B.V.
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Figure 14. Dynamical response of Nb-doped TiO2 nanotubes towards 100 ppm of ethanol, carbon monoxide and acetone at a working temperature of 400 °C and 40%RH@20 °C for different internal tube diameters. Reproduced with permission from [21]. Copyright (2015) Elsevier Inc.
Figure 14. Dynamical response of Nb-doped TiO2 nanotubes towards 100 ppm of ethanol, carbon monoxide and acetone at a working temperature of 400 °C and 40%RH@20 °C for different internal tube diameters. Reproduced with permission from [21]. Copyright (2015) Elsevier Inc.
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Table 1. Pore classification by the IUPAC according to the size.
Table 1. Pore classification by the IUPAC according to the size.
Pore Width (nm)Type of Pore
≤2Micropores
2–50Mesopores
>50Macropores
Table 2. Gas sensing performance of TiO2 based porous and tubular structures at the optimal operating conditions.
Table 2. Gas sensing performance of TiO2 based porous and tubular structures at the optimal operating conditions.
Shape/CompositionTiO2 Crystalline StructureSynthesis MethodOperating Temperature (°C)Target Gas, ConcentrationResponseResponse/Recovery TimesRef.
Tubular
Au-TiO2
AnataseAnodization110SO2F2, 50 ppm(ΔR/R0)·100%, 19.95%-[114]
Tubular
Pd-TiO2
AnataseAnodization200Ethanol, 10–3000 ppm(ΔR/R0)·100%, 297–21,253%10.2/7.1 s[115]
Tubular
Pt-TiO2
AnataseAnodization150SO2F2, 30–100 ppm(ΔR/R0)·100%, ~8.65–38%-[116]
Tubular
Ni-TiO2
AnataseAnodization200H2, 1000 ppm(ΔR/R0)·100%, 40%-[121]
Tubular
Ni-TiO2
AnataseAnodization200H2, 1000 ppm(ΔR/R0)·100%, 13.7%80/- s[122]
Tubular
Cr-TiO2
AnataseAnodization, soaking, thermal treatment500NO2, 10–100 ppmΔR/R0, ~2–3.5-/8–24 min[123]
Tubular
Nb-TiO2
Anatase, rutileAnodization400Ethanol, 50 ppmΔG/G0, ~6120/120 s[20]
Tubular
Nb-TiO2
AnataseAnodization300Acetone, 25 ppmΔG/G0,~7-[65]
Tubular
TiO2
AnataseAnodization200Ethanol, 5000 ppm(ΔG/G0)·100%, ~300%-[124]
Tubular
C-TiO2
AnataseAnodization, thermal treatment100H2, 5000 ppmΔG/G0, ~2-[125]
Tubular
Al-V-TiO2
AnataseAnodization300H2, 1000 ppm(ΔR/R0)·100%, 50%-[126]
Tubular
MoS2-TiO2
AnataseAnodization, hydrothermal growth150Ethanol, 100 ppmR/R0, 14.2-[127]
Porous
Ag-SnO2-TiO2
Anatase TiO2Chemical approaches, thermal treatment275Ethanol, 50 ppmR0/R, ~533.5/7 s[128]
Porous
Ti3+-TiO2
Anatase, rutileChemical approaches, thermal treatmentRoom temperatureCO, 100 ppmR0/R, ~1.6-[129]
Tubular, polypyrrole based polymer-TiO2-Anodization, electropolymerizationRoom temperatureCH2O, 1 ppmΔG/G0, 13%-[57]

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Galstyan, V. Porous TiO2-Based Gas Sensors for Cyber Chemical Systems to Provide Security and Medical Diagnosis. Sensors 2017, 17, 2947. https://doi.org/10.3390/s17122947

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Galstyan V. Porous TiO2-Based Gas Sensors for Cyber Chemical Systems to Provide Security and Medical Diagnosis. Sensors. 2017; 17(12):2947. https://doi.org/10.3390/s17122947

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Galstyan, Vardan. 2017. "Porous TiO2-Based Gas Sensors for Cyber Chemical Systems to Provide Security and Medical Diagnosis" Sensors 17, no. 12: 2947. https://doi.org/10.3390/s17122947

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Galstyan, V. (2017). Porous TiO2-Based Gas Sensors for Cyber Chemical Systems to Provide Security and Medical Diagnosis. Sensors, 17(12), 2947. https://doi.org/10.3390/s17122947

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