Next Article in Journal
The Study of the Influence of ZrO2 Precursor Type and the Temperature of Annealing on the Crystallization of the Tetragonal Polymorph of ZrO2 in Zirconia-Silica Gels
Next Article in Special Issue
How the Addition of Chitosan Affects the Transport and Rheological Properties of Agarose Hydrogels
Previous Article in Journal
Thermosensitive In Situ Gels for Joint Disorders: Pharmaceutical Considerations in Intra-Articular Delivery
Previous Article in Special Issue
A Peptide-Based Hydrogel for Adsorption of Dyes and Pharmaceuticals in Water Remediation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Cobalt- and Copper-Based Chemiresistors for Low Concentration Methane Detection, a Comparison Study

by
Paul Chesler
1,
Cristian Hornoiu
1,*,
Mihai Anastasescu
1,
Jose Maria Calderon-Moreno
1,
Marin Gheorghe
2 and
Mariuca Gartner
1
1
“Ilie Murgulescu” Institute of Physical Chemistry—Romanian Academy, Splaiul Independentei 202, 060021 Bucharest, Romania
2
NANOM MEMS SRL, Strada George Cosbuc 9, Rasnov, 505400 Brașov, Romania
*
Author to whom correspondence should be addressed.
Gels 2022, 8(11), 721; https://doi.org/10.3390/gels8110721
Submission received: 20 October 2022 / Revised: 4 November 2022 / Accepted: 6 November 2022 / Published: 8 November 2022
(This article belongs to the Special Issue Functionalized Gels for Environmental Applications)

Abstract

:
Methane is a colorless/odorless major greenhouse effect gas, which can explode when it accumulates at concentrations above 50,000 ppm. Its detection cannot be performed without specialized equipment, namely sensing devices. A series of MOX sensors (chemiresistors type), with CoO and CuO sensitive films were obtained using an eco-friendly and low-cost deposition technique (sol–gel). The sensing films were characterized using AFM and SEM as thin film. The transducers are based on an alumina wafer, with Au or Pt interdigital electrodes (IDE) printed onto the alumina surface. The sensor response was recorded upon sensor exposure to different methane concentrations (target gas) under lab conditions (dried target and carrier gas from gas cylinders), in a constant gas flow, with target gas concentrations in the 5–2000 ppm domain and a direct current (DC) applied to the IDE as sensor operating voltage. Humidity and cross-sensitivity (CO2) measurements were performed, along with sensor stability measurements, to better characterize the obtained sensors. The obtained results emphasize good 3-S sensor parameters (sensitivity, partial selectivity and stability) and also short response time and complete sensor recovery, completed by a low working temperature (220 °C), which are key factors for further development of a new commercial chemiresistor for methane detection.

1. Introduction

Methane (CH4) is a gas with a major greenhouse effect, being predominantly present in the agricultural areas of the planet. It can accumulate gradually, up to explosive concentrations (50,000 ppm or 5% volume), its formation being particularly favored by warm climates and humidity. Human activities that emit methane include leaks from natural gas systems and the existence of landfills on the outskirts of human settlements. In industry, methane is emitted during LPG refining or from mining activities (coal). Methane is also emitted from natural sources, such as natural wet areas (swamps). Natural processes in the soil and chemical reactions in the atmosphere help to remove CH4 from the atmosphere. The lifetime of methane in the atmosphere is much shorter than that of carbon dioxide (CO2), but CH4 is more efficient at capturing radiation than CO2. Quantitatively speaking, the comparative impact of CH4 is 25 times greater than that of CO2 over a period of 100 years [1].
NIOSH (National Institute for Occupational Safety and Health’s) established a maximum limit of 1000 ppm [2], for an exposure time of 8 h at the workplace, so its detection is very important for safety reasons. Detection of methane without special devices is impossible, methane being odorless and colorless.
The development of gas detectors has increased dramatically in the past decades, starting in 1953, when Brattain and Bardeen discovered that when a gas is adsorbed on the surface of a semiconductor, a change in the electrical conductance of this material occurs [3]. In 1968, Taguchi released the first commercially available gas sensor for the detection of hydrocarbons [4]. Since then, gas sensors, having the advantage of being reduced in size [5] and also cheap devices that can be mass-produced, were used to monitor environmental pollution, obtain global contamination maps [6], monitordomestic safety, ensure public security, monitor automotive safety, monitor air quality and more recently, make medical diagnoses, such as exhaled breath analysis [7]. Gas detectors have been fabricated in many different ways (electrochemical and optical approaches), and solid-state gas sensors contain various gas sensing materials (e.g., metal oxides or MOX). For MOX gas sensors, the most widely accepted sensing mechanism can be explained by the resistance change, which is caused by the surface reaction between the target gas and the sensitive material deposited on the surface of the sensor (in this particular case the sensors are named chemiresistors), upon sensor exposure to different gaseous atmospheres [7]. Chemiresistors based on semiconductor metal oxides with low-costs, easy production, a compact size and simple electronics are the most widely used in gas detection applications, however, MOX-resistive sensors typically operate at high working temperatures, which limits their application as sensitive materials and leads to sensing material instability, increased power consumption and response drifts [6]. The key for obtaining an economically viable sensor is mainly the low-cost of the final product, which implies abundant raw materials for the sensor components and low-cost preparation techniques (sol–gel, hydrothermal, etc.) for the sensing element, combined with sensor working temperatures as low as possible (ideally room temperature). Ideal materials for gas-sensing applications should be characterized by high 3-S parameters (sensitivity, selectivity and stability). Other key features are fast response/recovery time [7].
Although CuO and CoO in different combinations were previously used as sensitive materials [8] for different gases (detection for VOC’s, NH3, carbon oxides, H2S were summarized in ref. [7]), methane detection (in the percent concentrations range) using these oxides was very rarely reported, and usually high-cost preparation techniques are used to obtain the sensing oxides from their precursors (microwave in ref. [8], thermal oxidation in ref. [9].
In ref. [10], methane detection using Cu-doped CoO was reported, and sol–gel was used in the preparation of the sensitive pellets (compressed powders with silver painted electrodes on each pellet side), but no humidity/cross-sensitivity measurements were taken. Moreover, powder pellets imply usage of large quantities of sensitive material, a non-viable element from an economical point of view. Working temperature of the sensor was also high (300 °C), another important disadvantage.
The aim of this paper was to obtain a cheap, stable, highly sensitive and energy-efficient methane chemiresistor, using thin films of cobalt oxide (CoO) and copper oxide (CuO) as sensitive materials, deposited via a low-cost/eco-friendly technique on an own-design alumina transducer, having Au or Pt IDE’s imprinted on the surface, for the purpose of excellent electrical conductivity. The oxides were used in pristine state, and the sensing performance was then evaluated in each separate case to see which sensor performs better for methane detection. Humidity and cross-sensitivity tests (with CO2) were also performed to better define sensor characteristics.

2. Results and Discussion

2.1. Sensor Characterization

The sensor samples were investigated from a morphological point of view by Atomic Force Microscopy (AFM) after sensing experiments. Figure 1a,b present AFM images of the CoO film deposited by the sol–gel method on alumina substrates configured with Pt interdigitated electrodes (see the Materials and Methods section). The CoO film is characterized by a very high root mean square (RMS) roughness, ~350 nm at the scale of (8 × 8) µm2, respectively, a peak-to-valley parameter of ~2477 nm, being the highest values recorded in this series of samples. The surface of the sample is characterized by the presence of protruding massive formations of material (“mountain”-like) but also by random valleys (“pits”)—see the 2D (Figure 1a) and 3D (Figure 1b) AFM images from Figure 1, presented in so-called enhanced contrast view. Scanning a smaller area region, as shown in Figure 1b, suggests that there is a tendency to texturize the film, in the form of “ridges”. At the small scale of (2 × 2) µm2, the roughness parameters are significantly reduced, the CoO film having an RMS roughness of ~54 nm, respectively, a peak-to-valley parameter of ~291 nm. Figure 1c,d show AFM images of the CuO film deposited by sol–gel on Pt/alumina interdigitated electrodes. The CuO film shows uniform hills–valleys alternation, as depicted by the profile line from Figure 1c-right, with a level difference of about 900 nm along the selected line. On the entire scanned area of (8 × 8) µm2, the global corrugation parameters have the following values: 306 nm for the RMS roughness, respectively, ~2104 nm for the peak-to-valley parameter. Thus, it can be noted that both films prepared by sol–gel are very rough. Scanning a smaller area of (2 × 2) µm2 highlights the granular morphology of the CuO film, with a majority population of particles with a diameter in the range of 100–300 nm. The high roughness of the CoO and CuO films evidenced by AFM is an important advantage from the gas sensing point of view, surface roughness being a promoter for the gas adsorption process.
The sensors were then characterized by SEM (Figure 2a,b). The acquired high-RES images confirmed the facts evidenced by AFM investigations: both investigated sensing films having rough surfaces. The morphology of the sensing films deposited by sol–gel adapts very well to the morphology of polycrystalline IDE (Pt/Au) and also to the alumina substrates.
The pores are more visible in SEM images, a network of surface channels being better evidenced in the case of CoO. The third image (tilted) in the Figure 2a group shows the low thickness of the CoO sensitive film (below 1 micron thickness value—the sensitive film may be characterized as thin; it appears as a gray coating with a white edge) deposited on a Pt interdigit, which appears to be much thicker than the deposited sensitive layer. As stated before, this increases the accessibility towards the surface adsorption centers for the target gas molecules, increasing the overall sensing capabilities of the oxide film.

2.2. Gas Sensing Experiments

All sensing tests were performed in triplicate to ensure signal reproducibility. The following sensors were prepared (listed in Table 1) and abbreviated accordingly (as resulted from the synthesis process):
It can be observed that the sensors having CuO sensitive film are available with two IDE types, gold (Au) or platinum (Pt), in order to investigate the influence that the IDE material may have over the sensing experiment. Figure 3a shows the response/recovery characteristics of the sensors presented in Table 1. The sensor with Pt IDE (S4) has a slightly higher working temperature—Tw (220 °C, comparing with 210 °C for the other two sensors-S3 and S5). Sensor response is comparable when using Pt or Au as IDE (S4, S3) except in the methane high-concentration range, where cobalt-based sensor-S5 seems to be performing slightly better than the copper-based sensors -S3, S4, thus supporting the literature findings regarding cobalt oxide [11]. In Figure 3b, a working temperature experiment is depicted for 2000 ppm of CH4 injected in the sensing cell equipped with S5. It can be observed that with the increasing working temperature, the response/recovery of the sensor decreases; therefore 210 °C is considered Tw for this sensor.
Sensor response increases with increasing target gas concentrations (Figure 3a), the highest response being recorded for the concentration of 2000 ppm. All sensors also detect CH4 in extremely low concentrations (5 ppm). These detection limits do not represent the lower/higher sensor detection limits, but they are imposed by the technical limitations of the experimental setup, the target gas from the cylinder being diluted by the carrier gas (from 5000 ppm in inert gas, as provided by the gas manufacturer, to a maximum concentration of 2000 ppm or a minimum of 5 ppm, according to the mass-flow controller calibration curves). The response of the sensors is fast (250 s), and the recovery is complete (250 s), making it possible to resume the experiments after the corresponding recovery cycle without sensor replacement.

Cross-Sensitivity Tests (Relative Humidity and CO2 Measurements)

To better characterize the sensors, cross-sensitivity tests were performed. Thus, the sensors were exposed firstly to a humid atmosphere containing a standard 52% relative humidity (52% RH). Secondly, the sensors were exposed to CO2, having concentrations in the 5000–20,000 ppm range, limits imposed by the MFC system in the experimental setup, as stated before. Both these analytes usually accompany methane in the atmospheric environment, being also the main products resulting from the burning of methane when used as gas fuel. The reaction that stands as the basis for the methane principle of detection occurs with an electrical resistance variation, which means there is a change in the charge carrier concentration detected by the measuring equipment (RLC bridge). This mechanism is proposed by Shaalan et al. [8].
C H 4 + 4 O ( a d s ) C O 2 ( g a s ) + 2 H 2 O ( g a s ) + 4 e
The increasing resistance upon p-type sensitive materials (CuO or CoO) exposure to CH4 is explained in the mentioned reference as follows: “firstly, the gas reacts with adsorbed negative oxygen ions on the surface, leading to electron injection into p-type oxide. Secondly, this injected electron recombines with a hole in the oxide, reducing its positive free carriers, thus an increase in sensor electrical resistance occurs”. The influence of humidity on the gas sensing properties of metal-oxide-based devices has been extensively investigated, particularly for tin oxide SnO2 but is still not comprehensively understood to date [12]. The sensor response to humidity and CO2 is shown in Figure 4 and Figure 5.
Figure 6 shows the cross-response of the investigated sensors for the main target gas and the interfering species (resulting from the oxidation reaction that takes place on the surface of the sensor), products which may affect sensor response. It can be seen that for all the investigated sensors responses to 2000 ppm, CH4 is almost twice the response to the other interfering species (52% RH and 20,000 ppm CO2). The best selectivity is recorded again for the S5 cobalt-based sensor, where response for CH4 is more than double compared with its response towards CO2 and humidity. This particular sensor may be considered as partially selective for methane.
As seen in Figure 7, the sensor is stable over a 6-month period between tests, the response to methane in identical experimental conditions being virtually unchanged. Taking into account the results presented in Figure 4, Figure 5, Figure 6 and Figure 7, we can state that the sensors meet the 3-S parameter requirements: sensitivity, selectivity (partial, for the S5 sensor sample) and stability, completed by a relatively low working temperature and also short response and full sensor recovery characteristics.

3. Conclusions

Sensors with CoO and CuO (MOX based chemiresistors) sensitive films have been prepared and characterized. The surface of the sensitive oxide has a high-roughness degree and a large network of channels and pores, as evidenced by AFM and SEM measurements. The films are thin (below 1 micron thick, as shown by SEM). All these characteristics promote gas sensing.
The prepared sensors are stable, partially selective and capable of detecting low concentrations of methane (5 ppm), with fast response (250 s) and a full recovery (250 s). Response for interfering species was recorded (CO2 and humidity), but it was relatively low (about 50% from sensors response to methane). Better selectivity was recorded for the cobalt-based sensor towards high methane concentrations. A detection mechanism was formulated in agreement with literature findings. All the investigated sensors are energy-efficient, being characterized by a relatively low working temperature (max. 220 °C). Amongst the investigated sensors, the CoO-based chemiresistors are characterized by higher 3-S parameters (sensitivity, selectivity and stability) compared to the CuO based chemiresistors, which place them in a favorable position for further development of a new commercial methane detection MOX based chemiresistor.

4. Materials and Methods

Thick sensitive films were obtained using the sol–gel spinning method (1000 rotations/min). As precursors, the basic carbonates of the respective metals were used Cu(CO3)2Cu(OH)2 for CuO and Co(CO3)Co(OH)2 for CoO.
The deposited film was stabilized by heating it at 400 °C for 10 min.
Own-design alumina transducers were used, with the following dimensions: 5 × 10 × 0.6 mm (Figure 8). The transducers contained Pt or Au IDE’s on one side and a Pt heater on the opposite side of the transducer. They were imprinted on the alumina surface using serigraphy-based technology.
All sensor measurements were performed under laboratory conditions using dry, high purity gases (5.0), purchased from specialized gas-suppliers (SIAD Romania). The gas concentrations in the cylinders were: 5000 ppm CH4 and 50,000 ppm for CO2 (both in inert gas), as stated by the certification labels. The operating voltage of the sensor was set at 1.5 V direct current (DC), the tested working temperatures (Tw) were in the range situated between room temperature and 220 °C (specific for each sensor used), and the sensing experiments were carried out in a continuous flow of gas (maximum 180 mL/min).
Two separate gas lines were used for the sensing experiments, one ensuring the flow of the carrier gas (dry air), the other ensuring the flow of the target gas. The target gas concentrations were achieved using a calibrated system of mass-flow controllers (MFC). The two separate gas flows were mixed inside a special glass vessel, shown in the scheme of the experimental installation (Figure 9), using an on-off valve system, thus diluting the target gas with the carrier gas.
The gas route continues to an own-design sensor cell, which contains the investigated sensor. In the sensor cell, a chemical reaction takes place on the surface of the sensor, which leads to a change in its electrical resistance, a variation recorded by the Hioki 3522-50 RLC bridge connected to the sensing cell. This bridge uses a “custom-made” acquisition software [13,14,15], based on the Labview platform, developed by our group. Thus, the analog signal taken from the chemiresistor was converted into a digital signal using a GPIB interface connected to the output of the RLC bridge. The resulting digital signal is then transformed into an xy graph using the data acquisitioning computer [16,17,18].
The sensors were characterized (after sensing experiments) by AFM and SEM to observe surface morphology for the sensing CuO and Co O films.
AFM measurements were carried out in non-contact mode [19] with XE-100 (Park Systems), using sharp tips (NCHR from Nanosensors), having less than 8 nm tip radius, ~125 µm length, ~30 µm mean width, thickness ~4 µm, ~42 N/m force constant and ~330 kHz resonance frequency. The XEI (v.1.8.0) image processing program developed by Park Systems was used for displaying the images and subsequent statistical data analysis.
The microstructure of the samples was investigated by SEM using a high-resolution microscope (FEI, Quanta 3D FEG). The analyses were performed in high vacuum mode at high accelerating voltages (30 kV), and the sensors were analyzed directly [19,20,21,22] (samples were immobilized on a double-sided carbon tape, without coating).

Author Contributions

Conceptualization, M.G. (Marin Gheorghe) and P.C.; methodology, P.C. and C.H.; software, P.C. and C.H.; validation, P.C.; formal analysis, P.C.; investigation, P.C., M.A. and J.M.C.-M.; resources, M.G. (Marin Gheorghe); data curation, P.C.; writing—original draft preparation, P.C.; writing—review and editing, P.C. and M.A.; visualization, P.C.; supervision, M.G. (Mariuca Gartner); project administration, M.G. (Mariuca Gartner); funding acquisition, M.G. (Mariuca Gartner). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Romanian National Authority for Scientific Research on Innovation, CCCDI-UEFISCDI, grant number “PN-III-P2-2.1-PED-2019-2073, Contract 308PED/2020”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

The paper was carried out within the research program “Science of Surfaces and Thin Layers” of the “Ilie Murgulescu” Institute of Physical Chemistry of the Romanian Academy.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. IPCC. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., Miller, H.L., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2007; p. 996. [Google Scholar]
  2. Available online: http://medbox.iiab.me/modules/en-cdc/www.cdc.gov/niosh/ipcsneng/neng0291.html (accessed on 1 October 2022).
  3. Brattain, W.H.; Bardeen, J. Surface Properties of Germanium. Bell Syst. Tech. J. 1953, 3, 1–41. [Google Scholar] [CrossRef]
  4. Taguchi, N. Gas Detecting Device. U.S. Patent 3,695,848 A, 3 October 1972. [Google Scholar]
  5. Taya, S. Slab Waveguide with Air Core Layer and Anisotropic Left-Handed Material Claddings as a Sensor. Opto-Electron. Rev. 2014, 22, 252–257. [Google Scholar] [CrossRef]
  6. Sayago, I.; Santos, J.P.; Sánchez-Vicente, C. The Effect of Rare Earths on the Response of Photo UV-Activate ZnO Gas Sensors. Sensors 2022, 22, 8150. [Google Scholar] [CrossRef]
  7. Rydosz, A. The Use of Copper Oxide Thin Films in Gas-Sensing Applications. Coatings 2018, 8, 425. [Google Scholar] [CrossRef] [Green Version]
  8. Shaalan, N.M.; Rashad, M.; Abdel-Rahim, M.A. CuO Nanoparticles Synthesized by Microwave-Assisted Method for Methane Sensing. Opt. Quantum Electron. 2016, 48, 531. [Google Scholar] [CrossRef]
  9. Jayatissa, A.H.; Samarasekara, P.; Kun, G. Methane Gas Sensor Application of Cuprous Oxide Synthesized by Thermal Oxidation. Phys. Status Solidi 2009, 206, 332–337. [Google Scholar] [CrossRef]
  10. Ahmadpour, A.; Mehrabadi, Z.S.; Esfandyari, J.R.; Koolivand-Salooki, M. Modeling of Cu Doped Cobalt Oxide Nanocrystal Gas Sensor for Methane Detection: ANFIS Approach. J. Chem. Eng. Process Technol. 2012, 3, 1–6. [Google Scholar]
  11. Bratan, V.; Vasile, A.; Chesler, P.; Hornoiu, C. Insights into the Redox and Structural Properties of CoOx and MnOx: Fundamental Factors Affecting the Catalytic Performance in the Oxidation Process of VOCs. Catalysts 2022, 12, 1134. [Google Scholar] [CrossRef]
  12. Steinhauer, S. Gas Sensors Based on Copper Oxide Nanomaterials: A Review. Chemosensors 2021, 9, 51. [Google Scholar] [CrossRef]
  13. Bratan, V.; Chester, P.; Hornoiu, C.; Scurtu, M.; Postole, G.; Pietrzyk, P.; Gervasini, A.; Auroux, A.; Ionescu, N.I. In Situ Electrical Conductivity Study of Pt-Impregnated VOx/Gamma-Al2O3 Catalysts in Propene Deep Oxidation. J. Mater. Sci. 2020, 55, 10466–10481. [Google Scholar] [CrossRef]
  14. Bratan, V.; Munteanu, C.; Chesler, P.; Negoescu, D.; Ionescu, N.I. electrical characterization and the catalytic properties of SnO2/TiO2 catalysts and their Pd-supported equivalents. Rev. Roum. Chim. 2014, 59, 335–341. [Google Scholar]
  15. Brătan, V.; Chesler, P.; Vasile, A.; Todan, L.; Zaharescu, M.; Căldăraru, M. Surface Properties and Catalytic Oxidation on V2O5-CeO2 Catalysts. Rev. Roum. Chim. 2011, 56, 1055–1065. [Google Scholar]
  16. Firtat, B.; Moldovan, C.; Brasoveanu, C.; Muscalu, G.; Gartner, M.; Zaharescu, M.; Chesler, P.; Hornoiu, C.; Mihaiu, S.; Vladut, C.; et al. Miniaturised MOX Based Sensors for Pollutant and Explosive Gases Detection. Sens. Actuators B Chem. 2017, 249, 647–655. [Google Scholar] [CrossRef]
  17. Chesler, P.; Hornoiu, C.; Bratan, V.; Munteanu, C.; Gartner, M.; Ionescu, N.I. Carbon monoxide sensing properties of TiO2. Rev. Roum. Chim. 2015, 60, 227–232. [Google Scholar]
  18. Chesler, P.; Hornoiu, C.; Bratan, V.; Munteanu, C.; Postole, G.; Ionescu, N.I.; Juzsakova, T.; Redey, A.; Gartner, M. CO Sensing Properties of SnO2–CeO2 Mixed Oxides. React. Kinet. Mech. Catal. 2016, 117, 551–563. [Google Scholar] [CrossRef]
  19. Chelu, M.; Chesler, P.; Anastasescu, M.; Hornoiu, C.; Mitrea, D.; Atkinson, I.; Brasoveanu, C.; Moldovan, C.; Craciun, G.; Gheorghe, M.; et al. ZnO/NiO Heterostructure-Based Microsensors Used in Formaldehyde Detection at Room Temperature: Influence of the Sensor Operating Voltage. J. Mater. Sci. Mater. Electron. 2022, 33, 19998–20011. [Google Scholar] [CrossRef]
  20. Chesler, P.; Hornoiu, C.; Mihaiu, S.; Munteanu, C.; Gartner, M. Tin–Zinc Oxide Composite Ceramics for Selective CO Sensing. Ceram. Int. 2016, 42, 16677–16684. [Google Scholar] [CrossRef]
  21. Chesler, P.; Hornoiu, C.; Mihaiu, S.; Vladut, C.; Moreno, J.M.C.; Anastasescu, M.; Moldovan, C.; Firtat, B.; Brasoveanu, C.; Muscalu, G.; et al. Nanostructured SnO2-ZnO Composite Gas Sensors for Selective Detection of Carbon Monoxide. Beilstein J. Nanotechnol. 2016, 7, 2045–2056. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Duta, M.; Predoana, L.; Calderon-Moreno, J.M.; Preda, S.; Anastasescu, M.; Marin, A.; Dascalu, I.; Chesler, P.; Hornoiu, C.; Zaharescu, M.; et al. Nb-Doped TiO2 Sol–Gel Films for CO Sensing Applications. Mater. Sci. Semicond. Process. 2016, 42, 397–404. [Google Scholar] [CrossRef]
Figure 1. AFM images of the CoO sensitive films at the scale of (8 × 8) µm2—(a) and (2 × 2) µm2—(b) and, respectively, of the CuO sensitive films at (8 × 8) µm2—(c) and (2 × 2) µm2—(d).
Figure 1. AFM images of the CoO sensitive films at the scale of (8 × 8) µm2—(a) and (2 × 2) µm2—(b) and, respectively, of the CuO sensitive films at (8 × 8) µm2—(c) and (2 × 2) µm2—(d).
Gels 08 00721 g001aGels 08 00721 g001b
Figure 2. SEM images of: (a) CoO sensitive film; (b) CuO sensitive film, at different magnification factors; last two images of each group (a,b) are tilted.
Figure 2. SEM images of: (a) CoO sensitive film; (b) CuO sensitive film, at different magnification factors; last two images of each group (a,b) are tilted.
Gels 08 00721 g002
Figure 3. (a) The response/recovery of the tested sensors for CH4 concentrations in the range of 5–2000 ppm at Tw specific to the investigated sensors (210–220 °C); (b) response/recovery of the S5 sensor for 2000 ppm CH4 at various working temperatures (Tw).
Figure 3. (a) The response/recovery of the tested sensors for CH4 concentrations in the range of 5–2000 ppm at Tw specific to the investigated sensors (210–220 °C); (b) response/recovery of the S5 sensor for 2000 ppm CH4 at various working temperatures (Tw).
Gels 08 00721 g003
Figure 4. The response/recovery characteristics for 3 successive injections of 52% RH at corresponding Tw: (a) S3 sensor, Tw = 210 °C; (b) S4 sensor Tw = 220 °C; (c) S5 sensor, Tw = 210 °C.
Figure 4. The response/recovery characteristics for 3 successive injections of 52% RH at corresponding Tw: (a) S3 sensor, Tw = 210 °C; (b) S4 sensor Tw = 220 °C; (c) S5 sensor, Tw = 210 °C.
Gels 08 00721 g004
Figure 5. The response/recovery characteristics for 3 successive injections of CO2 (5000–20,000 ppm) at corresponding Tw: (a) S3 sensor, Tw = 210 °C; (b) S4 sensor Tw = 220 °C; (c) S5 sensor, Tw = 210 °C.
Figure 5. The response/recovery characteristics for 3 successive injections of CO2 (5000–20,000 ppm) at corresponding Tw: (a) S3 sensor, Tw = 210 °C; (b) S4 sensor Tw = 220 °C; (c) S5 sensor, Tw = 210 °C.
Gels 08 00721 g005
Figure 6. S3, S4, S5 cross-response for different tested target gas concentrations.
Figure 6. S3, S4, S5 cross-response for different tested target gas concentrations.
Gels 08 00721 g006
Figure 7. S3 sensor stability test (6-month period).
Figure 7. S3 sensor stability test (6-month period).
Gels 08 00721 g007
Figure 8. Alumina transducer prototypes for the obtained methane sensors: (a) platinum or gold IDE and platinum heater circuit; (b) actual S3 sensor sample compared with various objects for sizing purposes.
Figure 8. Alumina transducer prototypes for the obtained methane sensors: (a) platinum or gold IDE and platinum heater circuit; (b) actual S3 sensor sample compared with various objects for sizing purposes.
Gels 08 00721 g008
Figure 9. Schematic representation of the gas sensing experimental setup.
Figure 9. Schematic representation of the gas sensing experimental setup.
Gels 08 00721 g009
Table 1. The investigated sensors and their composition.
Table 1. The investigated sensors and their composition.
Sensor AbbreviationSensitive FilmTransducer (IDE/Wafer)
S3CuOAu/Al2O3
S4CuOPt/Al2O3
S5CoOPt/Al2O3
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chesler, P.; Hornoiu, C.; Anastasescu, M.; Calderon-Moreno, J.M.; Gheorghe, M.; Gartner, M. Cobalt- and Copper-Based Chemiresistors for Low Concentration Methane Detection, a Comparison Study. Gels 2022, 8, 721. https://doi.org/10.3390/gels8110721

AMA Style

Chesler P, Hornoiu C, Anastasescu M, Calderon-Moreno JM, Gheorghe M, Gartner M. Cobalt- and Copper-Based Chemiresistors for Low Concentration Methane Detection, a Comparison Study. Gels. 2022; 8(11):721. https://doi.org/10.3390/gels8110721

Chicago/Turabian Style

Chesler, Paul, Cristian Hornoiu, Mihai Anastasescu, Jose Maria Calderon-Moreno, Marin Gheorghe, and Mariuca Gartner. 2022. "Cobalt- and Copper-Based Chemiresistors for Low Concentration Methane Detection, a Comparison Study" Gels 8, no. 11: 721. https://doi.org/10.3390/gels8110721

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop