Next Article in Journal
Automated Recognition and Measurement of Corrugated Pipes for Precast Box Girder Based on RGB-D Camera and Deep Learning
Previous Article in Journal
Validation of Smartphones in Arbitrary Positions Against Force Plate Standard for Balance Assessment
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Flexible Gas Sensor Based on PANI/WO3/CuO for Room-Temperature Detection of H2S

1
School of Chemical Engineering, Northeast Electric Power University, Jilin 132012, China
2
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(9), 2640; https://doi.org/10.3390/s25092640
Submission received: 2 April 2025 / Revised: 15 April 2025 / Accepted: 21 April 2025 / Published: 22 April 2025
(This article belongs to the Section Chemical Sensors)

Abstract

:
Polyaniline (PANI) is currently one of the most extensively studied conductive polymers in the field of flexible gas sensors. However, sensors based on pure PANI generally suffer from problems such as low sensitivity and poor stability. To address these issues, in this work, a room-temperature hydrogen sulfide gas sensor of polyaniline/tungsten oxide/copper oxide (PANI/WO3/CuO) was synthesized using in situ polymerization technology. This gas sensor displays a response value of 31.3% to 1 ppm hydrogen sulfide at room temperature, with a response/recovery time of 353/4958 s and a detection limit of 100 ppb. Such an excellent performance is attributed to the high surface area and large adsorption capacity of the ternary composite, as well as the multi-phase interface synergistic effect.

1. Introduction

As industrialization keeps advancing, people are increasingly exposed to a more intricate variety of gases. Among them, toxic, harmful, flammable, and explosive gases have drawn special attention. This is because they not only have negative effects on the ecological environment but also pose risks to human life safety. Hydrogen sulfide (H2S), a colorless, acidic, and toxic gas with the distinct rotten-egg smell, is widespread in chemical production processes like coal combustion [1], oil refining [2], and metal smelting [3]. It also exists in natural environments, such as biogas, natural gas, wastewater, and volcanic gases [4,5]. In the power industry, H2S is one of the key decomposition products of the insulation medium sulfur hexafluoride (SF6) [6]. When the air humidity is high, H2S can corrode the metal parts of industrial equipment, causing cracks in structural materials and, thus, shortening the equipment’s lifespan. In daily life, incidents of H2S causing harm are quite common. For example, in 2021, an H2S leakage incident happened at Jilin Chemical Fiber Company, resulting in the accidental-inhalation-related deaths of five people. In 2022, two maintenance workers in Denmark died of poisoning from a high concentration of hydrogen sulfide gas caused by the decomposition of the vegetable oil remaining in the cargo compartment [7]. Syngas generated by coal gasification technology is the core fuel source of the power generation industry. This process is accompanied by the formation of a large number of sulfur-containing by-products, among which hydrogen sulfide accounts for the highest proportion [8]. When the concentration is extremely high, the human body may show symptoms like headache, nausea, and olfactory disorder, and even have its life safety endangered [9]. Therefore, it is of great significance that we achieve the continuous and accurate detection of H2S. In recent years, the gas-sensing method has become a popular area of exploration in the H2S detection field due to its advantages such as simple gas sensor fabrication, small size, low cost, and easy integration. The gas sensor can accurately detect a specific gas and its concentration. Its detection principle is to trigger a chemical characteristic response from the gas and convert it into a detectable electrical signal [10].
Gas sensors are categorized by operating mechanism into semiconductor-based [11], electrochemical [12], optical [13], and field-effect types [14]. Electrochemical sensors typically suffer from prolonged response/recovery times and poor stability, while optical sensors are limited by bulky size, high cost, and lengthy measurement cycles. Field-effect sensors, although promising, face challenges in complex fabrication processes and stringent signal amplification requirements. In contrast, metal-oxide semiconductor (MOX) sensors stand out for their high sensitivity, rapid response, and compact form factor. However, their reliance on high operating temperatures and rigid architectures restricts deployment in wearable, intelligent applications that demand flexibility and adaptability.
To address these limitations, researchers have focused on developing novel flexible wearable gas detection devices. For example, Zhang et al. [15] deposited reduced graphene oxide/tin dioxide (RGO/SnO2)-nanocomposite-sensing materials onto polyimide (PI) substrates, constructing a room-temperature flexible NO2-monitoring system. This compact system can be seamlessly integrated into face masks and smartwatches, demonstrating the practical implementation of flexible gas sensors in wearable electronics. Gao et al. [16] engineered zinc-oxide-modified single-walled carbon nanotubes (SWCNTs) as sensing materials on flexible nylon fibers, which were further integrated into face masks to enable the selective detection of ammonia (NH3) and other target gases. Li et al. [17] created stretchable, twistable, and bendable conductive sensing fibers by embedding reduced graphene oxide/zinc oxide (RGO/ZnO) nanosheets into cotton/elastic threads. These fibers exhibit excellent wearability and knittability, alongside outstanding NO2-sensing performance at ambient temperatures, showcasing promising potential for scalable textile-integrated gas-sensing solutions.
Gas-sensitive materials are the most crucial part of a gas sensor, and their research progress has a profound impact on the development trend of gas sensors. In the continuous wave of scientific and technological progress, the development of gas-sensitive materials shows remarkable stage-based features, evolving from the initial small-molecule inorganic materials to polymer-conductive polymers, from single-monomer materials to multi-component composite materials, and from simple doping forms to nanocomposite structures [18]. In 1987, MacDiarmid et al. [19] first reported the protonation/deprotonation properties of PANI, sparking early interest in exploring its potential as a sensitive material for gas sensor applications. However, pure PANI-based sensors exhibit critical limitations, such as a low response to H2S and poor long-term stability. Current strategies to address these challenges focus on optimizing PANI synthesis processes to leverage its intrinsic advantages while incorporating nanomaterial doping to create composite systems with synergistic effects. This approach aims to enhance gas molecule adsorption through complementary interactions between PANI and other functional materials [20].
Commonly used nanomaterials in such composites include metals, semiconducting metal oxides, and carbon-based materials [21,22,23,24,25,26,27]. Recent years have seen substantial advancements in flexible gas sensors fabricated from these PANI-based composites, driven by their adaptability for wearable and portable devices. Table 1 summarizes the latest international research progress on PANI-derived gas-sensitive materials for H2S detection, highlighting key performance metrics that address the limitations of pure PANI through material hybridization and structural innovation. Compared with other PANI-based H2S sensors, this work presents distinct advantages: room-temperature operation, reproducible response behavior, high flexibility enabled by the PET substrate, and excellent H2S response performance derived from the PANI/WO3/CuO ternary composite. The synergistic effects within the ternary heterostructure enhance gas adsorption kinetics and electrical conductivity modulation, addressing the common limitations of conventional PANI-based sensors (e.g., high operating temperature, and poor mechanical adaptability) while achieving superior sensitivity and stability under ambient conditions.

2. Materials and Methods

2.1. Synthesis of WO3 Microspheres

Four millimoles of Tungsten Hexachloride (WCl6) were added to 30 mL of glacial acetic acid. The resultant mixture was stirred continuously for 30 min. Subsequently, the solution was transferred into a 50-mL high-pressure reaction vessel. The reaction was then carried out at a temperature of 100 °C for a period of 12 h. After the reaction, the product was allowed to cool to room temperature. It was then washed three times successively with deionized water and absolute ethanol. Following the washing process, the product was dried under vacuum conditions at 60 °C for 12 h. Once the drying was completed, the product was removed and placed in a muffle furnace. The temperature within the furnace was increased at a rate of 2 °C per minute until it reached 450 °C. The product was calcined at this temperature for 2 h. Finally, it was cooled down to room temperature, thereby obtaining the yellow WO3 material.

2.2. Synthesis of WO3/CuO Nanocomposite

The synthesis procedure was executed as follows: 200 mg of WO3 microsphere powder was dissolved in a 30-mL solution consisting of absolute ethanol and deionized water at a volume ratio of 1:1. The solution was magnetically stirred for 30 min. Subsequently, 0.0348 g of Cu(NO3)2·3H2O was added, and the mixture was stirred for an additional 30 min. The molar ratio of copper to tungsten is 1:6. The solution was then transferred into a 50-mL stainless-steel autoclave internally lined with tetrafluoroethylene. The reaction was conducted at 180 °C for 5 h. After the reaction reached completion, the solution was permitted to cool spontaneously to room temperature. The solution was then subjected to centrifugation and washed three times with deionized water and absolute ethanol in sequence. Finally, the product was dried at 70 °C for 8 h to yield the final product material.

2.3. Synthesis of PANI/WO3/CuO Nanocomposites and Preparation of Sensitive Elements

As depicted in the Figure 1, 1 mmol of ammonium persulfate (APS) was introduced into 10 mL of 2 mol/L hydrochloric acid (HCl) solution. The mixture was continuously stirred for a duration of 30 min. Subsequently, the solution was pre-cooled in an ice-water bath to yield Solution A. The WO3/CuO nanomaterials were added to 10 mL of 2 mol/L HCl. The resulting suspension was subjected to sonication for 10 min to ensure homogeneous dispersion. Thereafter, 93 μL (equivalent to 0.1 mmol) of aniline monomer was added. The mixed solution was further sonicated for 30 min and then pre-cooled to obtain Solution B. The molar ratios of WO3/CuO to aniline monomer were set as n(WO3/CuO):n(Ani) = 0%, 5%, 10%, 20%, and 50%, which were, respectively, denoted as PWC0, PWC5, PWC10, PWC20, and PWC50. Subsequently, Solution A was slowly poured into Solution B, and the reaction was conducted in an ice-water bath for 2 h. The resultant product was washed three times with deionized water and absolute ethanol, respectively. Thereafter, it was vacuum-dried at 60 °C for 12 h. The dried material was thoroughly ground, and an appropriate quantity of terpineol was added. The material was then spin-coated onto a PET gold interdigitated electrode and dried at room temperature for 24 h to fabricate the flexible gas sensor.
A proper amount of the prepared sample is placed in an agate mortar. Add 2–3 drops of terpineol and the sample is ground until it turns into a slurry. Then, the paste was evenly coated on the surface of the fork electrode with a fine brush of 0.3 mm diameter. Then, the sample is subjected to drying in a vacuum drying oven maintained at a temperature of 70 °C for a duration of 12 h; the sensitive element of the flexible gas sensor is obtained. In this paper, polyethylene terephthalate (PET) is employed as the substrate material of the sensor. Subsequently, through the methods of photolithography and magnetron sputtering, a layer of Au electrode (100 nm) is deposited on the PET. The IDE structure adopted in this paper has an electrode size of 10 mm × 10 mm. The line width and the spacing of the interdigitated electrodes are both 100 μm, and the number of interdigitated electrode pairs is 10. These interdigitated electrodes are provided by Guangzhou Yuxin Sensing Co., Ltd. in Guangzhou, China.

3. Results

3.1. Materials Characterizations

The identity of the prepared nanocomposite as PANI/WO3/CuO was affirmed through comprehensive measurements involving X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS). For the XRD analysis, an XRD-7000 X-ray diffractometer, manufactured by Shimadzu Corporation, Kyoto, Japan, was utilized. The diffraction experiment was carried out with the Kα radiation of a Cu target, having a wavelength (λ) of 1.5406 Å. The operating conditions included a tube voltage of 40 kV and a current of 20 mA, and the angular range of 2θ was scanned from 10° to 80°. The scanning electron microscopy investigation was conducted using the SU8220 model supplied by Hitachi, Ltd., Kyoto, Japan, with an operating voltage set at 20 kV. The field-emission transmission electron microscopy analysis was performed with the FEI TECNAI G2 F20 instrument from FEI Company, Hillsboro, OR, USA. Equipped with multiple accessories such as energy-dispersive X-ray spectroscopy (EDX) and high-angle annular dark-field (HAADF) detectors, dark-field images, high-resolution images, and selected area electron diffraction patterns were acquired for an in-depth EDX energy spectrum analysis. The X-ray photoelectron spectroscopy measurements were carried out using the AXIS Supra model from Kratos Analytical Ltd., Manchester, UK, with a monochromatized Al Kα radiation source (hυ = 1486.6 eV).
As shown in Figure 2a, PANI exhibits a characteristic X-ray diffraction peak at 2θ = 25.105°, which arises from the periodic alignment of its molecular chains. The XRD patterns of pure WO3 and the WO3/CuO composite are analyzed to characterize their crystal structures and phase purities. For the as-synthesized WO3, distinct diffraction peaks at 23.105°, 23.580°, 24.346°, 33.258°, and 34.151° correspond to the (002), (020), (200), (022), and (202) planes of monoclinic tungsten trioxide, respectively. These peaks match well with the standard JCPDS card (No. 83-0950) [28], confirming the high-phase purity of the WO3 sample. In the case of the WO3/CuO composite, a prominent diffraction peak emerges at 2θ = 35.505°, with an increased intensity compared to the pure WO3 spectrum. As illustrated in Figure 2b, this peak is indexed to the (11-1) plane of CuO (JCPDS No. 48-1548) [29], indicating the successful formation of the heterostructured WO3/CuO composite. The presence of this CuO-specific peak verifies the integration of copper oxide into the tungsten trioxide matrix, highlighting the successful synthesis of the binary composite material.
The morphological and microstructural characteristics of the synthesized PANI, spherical WO3/CuO, and PWC10 composites were investigated using a scanning electron microscope (SEM). As depicted in Figure 3a, the SEM image of PANI reveals a uniform and continuous-network-structured nanofiber morphology. The SEM image of the spherical WO3/CuO (Figure 3b) indicates that the fabricated spherical WO3/CuO exhibits excellent dispersibility. Using Nano Measurer software(Version 1.2.5), five scanning electron microscopy (SEM) images were analyzed, with 50 valid particles selected from each image. The results, calculated as the mean ± standard deviation, determined the diameter of the PANI nanofibers to be (45 ± 8 nm) and the size of the WO3/CuO microspheres to be (4.7 ± 0.6 μm). Figure 3c,d display the SEM images of the PWC10 sample following the polymerization process. Evidently, the PANI nanofibers are interspersed among the spherical WO3/CuO composites, functioning as “bridges” to connect the WO3/CuO nanospheres.
Furthermore, an energy-dispersive X-ray spectroscopy (EDS) elemental analysis was performed on the PWC10 composite. The resulting elemental mapping of PWC10 is presented in Figure 3e. The detected elements encompass C, N, Cu, O, and W. The examined region, as illustrated in Figure 3e, assumes a spherical shape. From the figure, the distribution of the primary elements W, Cu, and O on the material surface can be distinctly observed, which provides conclusive evidence that WO3/CuO nanoparticles are grown on the surface of PANI.
In the in-depth exploration of PANI and polyaniline/tungsten trioxide/copper oxide (PANI/WO3/CuO) nanomaterials, X-ray photoelectron spectroscopy technology has played a crucial role. From the full spectra of the two materials shown in Figure 4a, it can be seen that the C 1s, N 1s, and O 1s peaks of PANI are located at 284.6 eV, 399.6 eV, and 531.6 eV, respectively. WO3 has characteristic W 4f peaks. In Figure 4b, its binding energy peaks appear at 35.5 eV and 37.8 eV, corresponding to the characteristic spin-orbit split states of W 4f7/2 and W 4f5/2, respectively [30].
Looking further at Figure 4c, the high-resolution C 1s spectrum of PANI/WO3/CuO is decomposed into three Gaussian-fitted peaks. The peak at 283.95 eV corresponds to the C-C(sp2) bond in the PANI backbone, and the peaks at 284.8 eV and 286.0 eV represent the C-C(sp3) bond and C-Cl bond, respectively. These conclusions are supported by references [31,32]. Then, looking at Figure 4d, the high-resolution N spectrum of PWC10 can be subdivided into four Gaussian-fitted peaks. Among them, quinoid amine (-N =) and benzenoid amine (-NH-) correspond to the peak positions of 398.4 eV and 399.1 eV in the composite. The peaks at 400.1 eV and 401.2 eV are attributed to the positively charged imine (=NH+-) in the bipolaron state and the protonated amine (-NH2+-) in the polaron state [33].

3.2. H2S-Sensing Performance

As shown in Figure 5, the experimental platform for the sensor performance test is mainly composed of gas sensors, gas to be measured, airbags, gas cylinders, syringes, computers, multimeter, wires, etc. We used a conductive silver paste to connect the two ends of the finger electrode with two copper wires, and clamped the other end of the copper wire with an electrode to form a test circuit. The PANI/WO3/CuO sensor was exposed to various concentrations of hydrogen sulfide at room temperature in a measured range of 100 ppb to 10 ppm. The real-time resistance of the sensor response was recorded by the Fluke 8846A data recorder.
The gas-sensing element consists of a flexible substrate (PET), gold interdigital electrodes, and a sensitive layer. A small amount of the synthesized material is added with water to form a slurry, and then the slurry is evenly coated on the surface of the interdigital electrodes. It is air-dried and left to stand at room temperature for 24 h to enhance its stability. The gas-sensing characteristics of this sensor were examined in a static test system. The tests were carried out under laboratory conditions (relative humidity of 20–40% and room temperature of 25 ± 5 °C).
During the test, a certain amount of test gas was injected into the closed system: 1 mL of gas was quickly injected into a glass bottle with a volume of 1 L from the air bag (concentration of 10 ppm) by syringe. The sensor was placed in the middle of the glass bottle, so that the sensor was exposed to the environment with a concentration of 10 ppm. The change in the sensor resistance is measured with a digital multimeter and transmitted to a computer. The stable resistance obtained in the gas being tested is denoted as Rg. The response value of the gas sensor in this paper is defined as the ratio of the resistance in air to the resistance in the presence of the target gas: Response (%) = (Ra − Rg)/Ra × 100%, where Ra represents the stable resistance value of the sensor in air and Rg represents the stable resistance value of the sensor when exposed to H2S. The time required for the component to reach 90% of the steady-state resistance after the adsorption and desorption of the target gas is defined as the response time and recovery time [34,35].

3.2.1. Response/Recovery Characteristics

To compare and analyze the influence of the additional amount of WO3/CuO nanomaterials on the gas-sensing performance of the composite materials, the H2S gas-sensing characteristics at room temperature of flexible sensor devices using PANI- and PANI/WO3/CuO-composite-sensitive materials with different addition amounts of WO3/CuO were tested. Before the introduction of gas, the gas sensor must obtain a stable resistance Ra in the air. The initial baseline resistance in the air is stable at 105 ± 5 Ω, and the resistance gradually recovers to more than 90% of the baseline after gas removal.
Figure 6e shows the response characteristics of different devices to 1 ppm H2S at room temperature. The results demonstrate that the response value of the sensor based on the PANI-sensitive material to 1 ppm H2S at room temperature is 1.77%. The response value of the sensor shows a trend of “increase–peak–decrease” with the increase in the addition amount of WO3/CuO. The sensor based on the PWC10-sensitive material has the best gas-sensing performance, and its response value to 1 ppm H2S at room temperature can reach 31.3%. Figure 6a depicts the response–recovery curve of the pure PANI sensor. Its response value to 10 ppm H2S at room temperature is 4.13%. After the resistance value of this device decreases upon contact with H2S, it cannot fully recover to its initial state when placed in air. The gas-sensitive characteristics of the PWC10 sensor to H2S are much better than those of the pure PANI sensor. Its response value to 10 ppm H2S at room temperature can reach 90.1% (Figure 6e), which is more than twenty times that of the pure PANI sensor (4.13%) to 10 ppm H2S at room temperature, and it has a lower detection limit (100 ppb). The sensor has a response value of 8.7% at the limit detection of 100 ppb H2S, a response–recovery time of 64 s, and a recovery time of 738s. The detection limit (LOD) is calculated according to the international standard 3σ method: LOD = 3σ/S, where σ is the standard deviation of the blank signal (pure air), and S is the sensor’s sensitivity to a 100 ppb H2S response (ΔR/Ra). In the experiment, the σ of the blank signal was 0.12%, and the measured sensitivity at 100 ppb was S = 8.7%. Therefore, LOD = 3 × 0.12%/8.7% ≈ 41 ppb. To ensure the reproducibility of the experiment, it is conservatively reported as 100 ppb. Figure 6c shows the continuous cyclic response–recovery characteristic curve of the sensor based on the PWC10-sensitive material to 1 ppm H2S at room temperature. This indicates that the sensor based on the PWC10-sensitive material can be reused for the continuous detection of H2S. Moreover, the “response value–gas concentration” fitting curves of the PANI sensor and the PWC10 sensor shown in Figure 6d conform to the typical exponential model [36]. The calibration curve in Figure 6d was fitted by the isothermal line of Freundlich (power law function: y = a × x^ (−b)), where the R2 of PWC10 was 0.992 and that of PANI was 0.914.

3.2.2. Selectivity and Stability

Selectivity, a key metric in gas-sensing features, was probed for the sensor employing the PWC10-sensitive material, which exhibits the highest response magnitude. Figure 7a illustrates the responses of this sensor to diverse gases at ambient temperature, such as NH3, ethanol, hydrogen, carbon monoxide, sulfur dioxide, and NO2. To assess the device’s stability, both bending endurance and longevity tests were carried out. As presented in Figure 7b, when the PWC10 sensor is subjected to different bending cycles (0, 25, 50, 75, and 100 times), its response to 1 ppm H2S experiences minimal variation. This outcome implies that the PWC10 ternary sensor possesses excellent bending resilience. Moreover, the lifespan represents an essential factor in evaluating sensor performance. In this study, the response decay of the PWC10 sensor to 1 ppm H2S over a span of 30 days was explored. Figure 7c reveals that the sensor’s response value displays a declining tendency during the test on the third day, and then stabilizes in subsequent trials. The primary factors contributing to the reduction in the sensor’s response value are device deterioration and the elimination of certain unstable adsorption sites. The results show that the performance of the PWC10 ternary H2S sensor does not deteriorate substantially over time, signifying good stability.

3.2.3. Humidity Effect

Humidity is a crucial factor influencing gas sensors. To explore its impact on the sensor, we utilized a humidifier, a dryer, and an electronic device capable of real-time humidity display to control the humidity environment. Figure 8a,b illustrate the initial resistance and the sensitivity to 1 ppm H2S of the sensor with PWC10-sensitive material within a relative humidity (RH) range of 20–80%.The experimental results reveal a notable trend. As the relative humidity rises, the initial resistance of the sensor decreases, and its response to H2S improves. However, when the humidity exceeds 60% and reaches 80%, the sensor’s response value starts to decline. The variation in the sensor’s response to H2S with respect to RH can be elucidated from the perspectives of surface adsorption behavior and mass transfer processes.
The decrease in the initial resistance can be attributed to the surface adsorption of water molecules and the enhancement in electrical conductivity. The surfaces of sensor materials, such as the metal-oxide semiconductor WO3/CuO heterojunction or the conductive polymer PANI, are rich in polar groups like hydroxyl and amine groups. As the humidity increases, water molecules adhere to the material surface through hydrogen bonding or physical adsorption, forming a thin water film. In the case of metal oxides (MOXs), the dissociation of water generates H+/OH ions, which enhances the surface ionic conductivity. For conductive polymers like PANI, water molecules act as a “plasticizer”, reducing the resistance between molecular chains and increasing the carrier mobility, thereby lowering the resistance [37].
An appropriate amount of water molecules creates active adsorption sites on the material surface, which interact synergistically with H2S molecules. Water molecules enhance the surface adsorption of H2S through hydrogen bonding or dipole–dipole interactions. For example, H2S dissolves in the water film to form HS/S2− ions, accelerating the redox reaction with the metal oxide. Additionally, the increased humidity makes the material surface more moist, optimizing the charge-transfer efficiency at the gas–solid interface and improving the sensor’s sensitivity to H2S.
When the RH exceeds 60% and reaches 80%, the response value drops. At high humidity levels, water molecules occupy the preferential adsorption sites on the sensor surface, such as the oxygen vacancies in metal oxides and the polar groups in PANI. This leads to a reduction in the effective adsorption of H2S. Moreover, the increased thickness of the water film creates a diffusion barrier. H2S gas has to pass through a thicker water layer to reach the active surface of the material, increasing the mass-transfer resistance and reducing the reaction efficiency [38].

3.3. H2S Gas-Sensing Mechanism

In terms of microstructure, the porous nanostructure of the PANI/WO3/CuO heterojunction significantly bolsters its H2S sensing performance. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) disclose that the in situ polymerized PANI/WO3/CuO nanocomposites are tightly interwoven, giving rise to a porous nanostructure with a large specific surface area. It is worth noting that the adsorption capacity of the PANI composite is 5–10 times higher than that of pure PANI [39]. The absorption process of hydrogen sulfide by the polyaniline–copper oxide–tungsten oxide ternary composite at room temperature also involves multi-phase interface synergistic effects, and its reaction mechanism can be elucidated from the following three aspects:
PANI + H2S → PANI-H+ + HS
3WO3 + 7H2S → 3WS2 + SO2 + 7H2O + 3Vo + 6e
Vo + H2S → Vo (H2S)ads
H2S (ads) → 2H+ + S2−
CuO(s) + H2S(g) → CuS(s) + H2O(g)

3.3.1. Interface Activation Mechanism of Polyaniline

Polyaniline (PANI) features a typical π–π conjugate system, endowing it with distinct physical and chemical properties. The interaction of its internal π–electron clouds gives the material surface a strong affinity for H2S molecules, constantly attracting and aggregating H2S molecules on its surface. This excellent conductivity plays a crucial role throughout the reaction process, facilitating the migration of H+. When PANI comes into contact with H2S, the imine groups (-N =) in PANI molecules exhibit high chemical reactivity and engage in a protonation reaction with H2S. As shown in Equation (1), in this reaction, one hydrogen atom in the hydrogen sulfide molecule separates and binds to the imino group of PANI to form a positively charged PANI-H+ and produce HS ions. This protonation reaction has far-reaching implications, directly distorting the energy-band structure of polyaniline. The originally regular energy-band structure is disrupted, the electron distribution is significantly altered, and the Fermi level shifts towards the low-energy end. As the reaction progresses, a large number of PANI-H+ are generated and accumulate on the material surface, thus forming a hole-accumulation layer on the PANI surface. The emergence of this hole-accumulation layer modifies the electrical properties of the material surface, exerting a profound influence on subsequent charge transfer and reaction processes [40].

3.3.2. Redox Synergy of CuO/WO3 Heterojunction

The surface of the CuO/WO3 heterojunction is abundant in numerous active sites, which lays the foundation for its interaction with H2S molecules. Due to the differences in the crystal structures of CuO and WO3 and the electron states of surface atoms, a unique electric field and electron–cloud distribution are formed at the heterojunction interface. This special micro-environment enables H2S molecules to be adsorbed onto the heterojunction surface through both physical and chemical adsorption. The adsorbed H2S molecules trigger a charge-transfer phenomenon. The conduction-band position of WO3 is relatively high, while the valence-band position of CuO is relatively low. Within the heterojunction system, electrons transfer from the conduction band of WO3 to the valence band of CuO, forming a built-in electric field. Once H2S molecules are adsorbed, due to their reducing nature, they react with the surface active oxygen species. The sulfur atoms in H2S capture the electrons of the surface oxygen atoms, reducing the surface oxygen atoms and oxidizing H2S itself. This process causes electrons to transfer from H2S to the heterojunction surface, thereby altering the charge distribution within the heterojunction and laying the foundation for subsequent reactions. In terms of electron–hole recombination, when H2S molecules are adsorbed on the heterojunction surface and react, electron transfer occurs. These electrons participate in the recombination with holes. Originally, there is a certain dynamic equilibrium of electron–hole pairs in the heterojunction. The extra electrons introduced by H2S break this equilibrium, increasing the probability of electron–hole recombination. As recombination occurs, the number of charge carriers participating in conduction within the material decreases, macroscopically manifested as an increase in resistance. This change in resistance is closely related to the sensing performance of the sensor. In the detection of H2S gas, the sensor perceives the change in gas concentration by detecting changes in electrical properties such as resistance. Many studies have reported this in semiconductor heterojunction gas sensors [41].

3.3.3. Oxygen-Vacancy-Mediated Deep-Purification Mechanism

The oxygen vacancies (V0) on the surface of WO3 play a vital role in its interaction with H2S gas. Acting as Lewis acid sites, the oxygen vacancies, with their unsaturated electron structures, show a strong affinity for H2S molecules and can efficiently capture H2S molecules through coordination. As shown in Equations (2)–(4), when H2S molecules are adsorbed near the oxygen vacancies on the WO3 surface, the originally stable structure of H2S molecules is affected by the special electron-cloud environment around the oxygen vacancies, triggering a series of complex chemical reactions. In this process, the adsorbed H2S dissociates near the oxygen vacancies. Due to the change in the electron-cloud density at the oxygen vacancies, the chemical bonds in the H2S molecule are weakened, and the covalent bond between hydrogen and sulfur atoms breaks, releasing S2− ions. Meanwhile, the Cu2+ ions in the system, due to their charge characteristics, rapidly combine with the released S2− ions. As shown in Equation (5), this process is based on charge attraction and chemical affinity, leading to a chemical reaction that forms CuS precipitates. The formation of these precipitates not only changes the form of substances in the system but also further influences the electron distribution and chemical activity on the material surface. The H+ ions generated during the dissociation process embark on a migration journey through the unique proton-conduction channels of polyaniline. Polyaniline has a special conjugate structure, with proton-conduction paths existing in its molecular chain. Driven by the electric field and concentration difference, H+ ions gradually migrate to the material surface along the proton-conduction channels of polyaniline. On the material surface, H+ ions participate in subsequent reactions or maintain the charge balance of the system through interactions with other substances. As H2S molecules are continuously captured and dissociated, S2− and Cu2+ continuously react to form CuS precipitates, and H+ ions continuously migrate, creating a cyclic process in the entire system. Considering the long-term stability of the sensor, oxygen vacancies play an important role. On one hand, an appropriate and stable number of oxygen vacancies can continuously and effectively adsorb H2S molecules, ensuring the sensor’s continuous detection ability for H2S gas. This is because, if the oxygen vacancies are unstable and prone to change, their adsorption capacity for H2S will be affected, thus influencing the sensor’s sensitivity. On the other hand, in the actual application environment, there are various interfering factors such as oxygen and humidity in the environment. Stable oxygen vacancies can reduce the impact of these interfering factors on the sensor’s performance. For example, when there is oxygen in the environment, unstable oxygen vacancies may react with oxygen, thus changing their adsorption characteristics for H2S. While stable oxygen vacancies can resist this interference to a certain extent, maintaining the relative stability of the H2S adsorption and dissociation process, thereby ensuring that the sensor can work stably for a long time [42,43].
In conclusion, the sensing mechanism of the PANI/WO3/CuO heterojunction sensor for H2S is a complex multi-process synergistic effect. The interface activation mechanism of polyaniline changes its own energy-band structure and surface electrical properties through protonation reactions; the redox synergy of the CuO/WO3 heterojunction realizes the sensing of H2S by influencing the resistance change through electron-hole recombination based on the special electric field and electron-cloud distribution at the interface; the oxygen-vacancy-mediated deep-purification mechanism utilizes the adsorption and dissociation of H2S by oxygen vacancies and subsequent ion reactions and migration processes to achieve the deep purification and sensing of H2S. These three mechanisms cooperate with each other to jointly improve the sensor’s sensing performance for H2S gas.

4. Conclusions

In conclusion, a new room-temperature flexible hydrogen sulfide sensor of the PANI/WO3/CuO ternary nanocomposite was prepared by in situ polymerization. The mesh nanofiber structure of gas-sensitive materials was confirmed by characterization The sensing characteristics of the PANI/WO3/CuO sensor for hydrogen sulfide gas were evaluated from the perspective of response–recovery, repeatability, stability, and bending resistance at room temperature. The PANI/WO3/CuO ternary composite achieves the efficient removal of H2S at room temperature through the synergistic mechanisms of hierarchical adsorption, heterojunction catalysis, and defect activation. This research furnishes a theoretical basis for the design of multi-component synergistic adsorbents.
The sensor’s room-temperature operation eliminates the need for external heating, making it ideal for flexible battery-powered systems such as smart protective clothing and intelligent masks. This feature is critical for long-term use in field environmental monitoring where power supply is limited. Unlike high-temperature metal-oxide semiconductor (MOX) sensors, this design reduces energy consumption, enhances mechanical flexibility, and avoids thermal damage to organic matrices (e.g., PANI). These improvements enable its use in wearable and disposable devices while maintaining compatibility with temperature-sensitive organic materials. The sensor demonstrates significant potential for applications in environmental monitoring and wearable technology, offering a sustainable solution for energy-constrained scenarios.

Author Contributions

Conceptualization, D.Z. and Z.L.; methodology, D.Z and M.S.; formal analysis, D.Z and T.Z.; writing—original draft preparation, D.Z. and D.X.; writing—review and editing, Y.L. and Y.W.; supervision, M.S.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All relevant data are found within the paper.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Simonton, D.S.; King, S. Hydrogen Sulfide Formation and Potential Health Consequences in Coal Mining Regions. Water Qual. Expo. Health 2013, 5, 85–92. [Google Scholar] [CrossRef]
  2. Ma, Q.; Yang, Z.; Zhang, L.; Lin, R.; Wang, X. Generation of hydrogen sulfide during the thermal enhanced oil recovery process under superheated steam conditions. RSC Adv. 2019, 9, 33990–33996. [Google Scholar] [CrossRef]
  3. Du, Y.; Zhao, X.; Xu, Y.; Ma, W.; Wang, G.; Zhao, Z.; Du, D. Innovative hydrogen sulfide generation from natural pyrrhotite: A green solution for acid wastewater treatment with resource recovery benefits. Process Saf. Environ. Prot. 2025, 194, 96–106. [Google Scholar] [CrossRef]
  4. Pham, C.H.; Saggar, S.; Berben, P.; Palmada, T.; Ross, C. Removing Hydrogen Sulfide Contamination in Biogas Produced from Animal Wastes. J. Environ. Qual. 2019, 48, 32–38. [Google Scholar] [CrossRef] [PubMed]
  5. Godoi, A.F.L.; Grasel, A.M.; Polezer, G.; Brown, A.; Potgieter-Vermaak, S.; Scremim, D.C.; Yamamoto, C.I.; Godoi, R.H.M. Human exposure to hydrogen sulphide concentrations near wastewater treatment plants. Sci. Total Environ. 2017, 610–611, 583–590. [Google Scholar] [CrossRef] [PubMed]
  6. Cui, X.; Lu, Z.; Wang, Z.; Zeng, W.; Zhou, Q. Highly Sensitive SF6 Decomposition Byproducts Sensing Platform Based on CuO/ZnO Heterojunction Nanofibers. Chemosensors 2023, 11, 58. [Google Scholar] [CrossRef]
  7. Hedlund, F.H. Confined space hazards: Plain seawater, an insidious source of hydrogen sulfide. J. Occup. Environ. Hyg. 2023, 20, 322–328. [Google Scholar] [CrossRef]
  8. Liu, D.; Wang, Q.; Wu, J.; Liu, Y. A review of sorbents for high-temperature hydrogen sulfide removal from hot coal gas. Environ. Chem. Lett. 2019, 17, 259–276. [Google Scholar] [CrossRef]
  9. Zhou, Y.; Xu, Z.G.; Wu, Z.H. Molecular and experimental study on hydrogen sulfide formation mechanism during Chang 7 type-II oil shale kerogen pyrolysis. Fuel 2023, 340, 127552. [Google Scholar] [CrossRef]
  10. Zhang, H.; Hu, J.; Li, M.; Li, Z.; Yuan, Y.; Yang, X.; Guo, L. Highly efficient toluene gas sensor based on spinel structured hollow urchin-like core-shell ZnFe2O4 spheres. Sens. Actuators B Chem. 2021, 349, 130734. [Google Scholar] [CrossRef]
  11. Platonov, V.; Rumyantseva, M. Electrospun ZnO/MOx nanocomposites as sensitive materials for biomarker gas sensors: Role of MOx in C1–C4 short-chain fatty acids detection. Sens. Actuators B Chem. 2025, 433, 137535. [Google Scholar] [CrossRef]
  12. Dube, A.; Malode, S.J.; Alshehri, M.A.; Shetti, N.P. Recent advances in the development of electrochemical sensors for detecting pesticides. J. Ind. Eng. Chem. 2025, 144, 77–99. [Google Scholar] [CrossRef]
  13. Verhoeff, D.; Schreuders, H.; Bannenberg, L. Tantalum-palladium alloy based optical micro-mirror hydrogen sensor. Sens. Actuators B Chem. 2025, 428, 137229. [Google Scholar] [CrossRef]
  14. Holicky, M.; Fenech-Salerno, B.; Dabas, R.; Teenan, O.; Li, X.; Steer, I.; Higgins, C.A.; Akhavani, M.; Gadegaard, N.; Kamaly, N.; et al. Wearable microneedle graphene field-effect transistor sensors. 2D Mater. 2025, 12, 025019. [Google Scholar] [CrossRef]
  15. Zhang, F.; Lin, Q.; Han, F.; Wang, Z.; Tian, B.; Zhao, L.; Dong, T.; Jiang, Z. A fexible and wearable NO2 gas detection and early warning device based on a spraying process and an interdigital elec-trode at room temperature. Microsyst. Nanoeng. 2022, 8, 40. [Google Scholar] [CrossRef]
  16. Gao, Z.; Lou, Z.; Chen, S.; Li, L.; Jiang, K.; Fu, Z.; Han, W.; Shen, G. Fiber gas sensor-integrated smart face mask for room-temperature distinguishing of target gases. Nano Res. 2018, 11, 511–519. [Google Scholar] [CrossRef]
  17. Li, W.; Chen, R.; Qi, W.; Cai, L.; Sun, Y.; Sun, M.; Li, C.; Yang, X.; Xiang, L.; Xie, D.; et al. Reduced graphene oxide/mesoporous ZnO nss hybrid fbers for fexible, stretchable, twisted, and wearable NO2 E-textile gas sensor. ACS Sens. 2019, 4, 2809–2818. [Google Scholar] [CrossRef] [PubMed]
  18. Tanguy, N.R.; Thompson, M.; Yan, N. A review on advances in application of polyaniline for ammonia detection. Sens. Actuators B Chem. 2018, 257, 1044–1064. [Google Scholar] [CrossRef]
  19. Macdiarmid, A.G.; Chiang, J.C.; Richter, A.F. Polyaniline: A new concept in conducting polymers. Synth. Met. 1987, 18, 285–290. [Google Scholar] [CrossRef]
  20. Sen, T.; Mishra, S.; Shimpi, N.G. Synthesis and sensing applications of polyaniline nanocomposites: A review. RSC Adv. 2016, 6, 42196–42222. [Google Scholar] [CrossRef]
  21. Liu, C.; Hayashi, K.; Toko, K. Au nanoparticles decorated polyaniline nanofiber sensor for detecting volatile sulfur compounds in expired breath. Sens. Actuators B Chem. 2012, 161, 504–509. [Google Scholar] [CrossRef]
  22. Akber, H.J.; Razeg, K.H.; Ibrahim, I.M. Sensing Characteristics of Nanostructured PANI/Ag Thin Films as H2S Gas Sensor. IOP Conf. Ser. Mater. Sci. Eng. 2020, 928, 072146. [Google Scholar] [CrossRef]
  23. Zhang, D.; Fan, X.; Hao, X.; Dong, G. Facile Fabrication of Polyaniline Nanocapsule Modified Zinc Oxide Hexagonal Microdiscs for H2S Gas Sensing Applications. Ind. Eng. Chem. Res. 2019, 58, 1906–1913. [Google Scholar] [CrossRef]
  24. Zhang, B.; Shang, F.; Shi, X.; Yao, R.; Wei, F.; Hou, X.; Li, W.; Zhang, J. Polyaniline/CuO Nanoparticle Composites for Use in Selective H2S Sensors. ACS Appl. Nano Mater. 2023, 6, 18413–18425. [Google Scholar] [CrossRef]
  25. Kumawat, M.; Thapliyal, D.; Verros, G.D.; Arya, R.K.; Barman, S.; Halder, G.; Shandilya, P. PANI-Based Hydrogen Sulfide Gas Sensors. Coatings 2022, 12, 186. [Google Scholar] [CrossRef]
  26. Zhang, D.; Wu, Z.; Zong, X. Flexible and highly sensitive H2S gas sensor based on in-situ polymerized SnO2/rGO/PANI ternary nanocomposite with application in halitosis diagnosis. Sens. Actuators B Chem. 2019, 289, 32–41. [Google Scholar] [CrossRef]
  27. Bibi, A.; Rubio, Y.R.M.; Santiago, K.S.; Jia, H.W.; Ahmed, M.M.; Lin, Y.F.; Yeh, J.M. H2S-Sensing Studies Using Interdigitated Electrode with Spin-Coated Carbon Aerogel-Polyaniline Composites. Polymers 2021, 13, 1457. [Google Scholar] [CrossRef] [PubMed]
  28. Guo, S.; Zou, X.; Dong, Y.; Cui, Y. Analysis of the effect of visible light photocatalytic reduction of Cr (VI) in industrial wastewater by LaVO4/WO3 composite nanosheets synthesized by hydrothermal method. J. Water Resour. Water Eng. 2019, 30, 116–122. [Google Scholar]
  29. Zhou, C.; Xu, L.; Song, J.; Xing, R.; Xu, S.; Liu, D.; Song, H. Ultrasensitive non-enzymatic glucose sensor based on three-dimensional network of ZnO-CuO hierarchical nanocomposites by electrospinning. Sci. Rep. 2014, 4, 7382. [Google Scholar] [CrossRef]
  30. Wang, Y.; Zhang, S.; Xiao, D.; Wang, S.; Zhang, T.; Yang, X.; Heng, S.; Sun, M. CuO/WO3 hollow microsphere P-Nheterojunction sensor for continuous cycle detection of H2S gas. Sens. Actuators B Chem. 2023, 374, 132823. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Zhang, J.; Jiang, Y.; Duan, Z.; Liu, B.; Zhao, Q.; Wang, S.; Yuan, Z.; Tai, H. Ultrasensitive flexible NH3 gas sensor based on polyaniline/SrGe4O9 nanocomposite with ppt-level detection ability at room temperature. Sens. Actuators B Chem. 2020, 319, 128293. [Google Scholar] [CrossRef]
  32. Feng, X.; Li, R.; Ma, Y.; Chen, R.; Shi, N.; Fan, Q.; Huang, W. One-Step Electrochemical Synthesis ofGraphene/Polyaniline Composite Film and Its Applications. Adv. Funct. Mater. 2011, 21, 2989–2996. [Google Scholar] [CrossRef]
  33. Li, S.; Diao, Y.; Yang, Z.; He, J.; Wang, J.; Liu, C.; Liu, F.; Lu, H.; Yan, X.; Sun, P.; et al. Enhanced room temperature gas sensor based on Au-loaded mesoporous In2O3 nanospheres@polyaniline core-shell nanohybrid assembled on flexible PET substrate for NH3 detection. Sens. Actuators B Chem. 2018, 276, 526–533. [Google Scholar] [CrossRef]
  34. Ji, H.; Zeng, W.; Li, Y. Gas sensing mechanisms of metal oxide semiconductors: A focus review. Nanoscale 2019, 11, 22664–22684. [Google Scholar] [CrossRef] [PubMed]
  35. Shaik, R.; Kampara, R.K.; Kumar, A.; Sharma, C.S.; Kumar, M. Metal oxide nanofibers based chemiresistive H2S gas sensors. Coord. Chem. Rev. 2022, 471, 214752. [Google Scholar] [CrossRef]
  36. Degler, D.; Rank, S.; Mueller, S.; Pereira de Carvalho, H.W.; Grunwaldt, J.D.; Weimar, U. Gold-loaded tin dioxide gas sensing materials: Mechanistic insights and the role of gold dispersion. ACS Sens. 2016, 1, 1322–1329. [Google Scholar] [CrossRef]
  37. Cho, S.; Lee, J.S.; Jun, J.; Kim, S.G.; Jang, J. Fabrication of water-dispersible and highly conductive PSS-doped PANI/graphene nanocomposites using a high molecular weight PSS dopant and their application in H2S detection. Nanoscale 2014, 6, 15181–15195. [Google Scholar] [CrossRef]
  38. Gautam, S.K.; Panda, S. Effect of moisture and molecular weight of polyaniline on H2S sensing characteristics. Sens. Actuators B Chem. 2021, 344, 130323. [Google Scholar] [CrossRef]
  39. El-Shazly, A.H.; Elkady, M.; Abdelraheem, A. Investigating the Adsorption Behavior of Polyaniline and Its Clay Nanocomposite towards Ammonia Gas. Polymers 2022, 14, 4533. [Google Scholar] [CrossRef]
  40. Li, S.; Liu, A.; Yang, Z.; Zhao, L.; Wang, J.; Liu, F.; You, R.; He, J.; Wang, C.; Yan, X.; et al. Design and preparation of the WO3 hollow spheres@PANI conducting films for room temperature flexible NH3 sensing device. Sens. Actuators B Chem. 2019, 289, 252–259. [Google Scholar] [CrossRef]
  41. Jain, R.K.; Khanna, A. CuO-doped WO3 thin film H2S sensors. Sens. Actuators B Chem. 2021, 343, 130153. [Google Scholar] [CrossRef]
  42. Ramgir, N.S.; Goyal, C.; Sharma, P.; Goutam, U.; Bhattacharya, S.; Datta, N.; Kaur, M.; Debnath, A.; Aswal, D.; Gupta, S. Selective H2S sensing characteristics of CuO modified WO3 thin films. Sens. Actuators B Chem. 2013, 188, 525–532. [Google Scholar] [CrossRef]
  43. He, M.; Xie, L.; Zhao, X.; Hu, X.; Li, S.; Zhu, Z.G. Highly sensitive and selective H2S gas sensors based on flower-like WO3/CuO composites operating at low/room temperature. J. Alloys Compd. 2019, 788, 36–43. [Google Scholar] [CrossRef]
Figure 1. Material synthesis and sensitive element preparation.
Figure 1. Material synthesis and sensitive element preparation.
Sensors 25 02640 g001
Figure 2. (a) XRD patterns of PANI, WO3, WO3/CuO, and PWC10 (2θ = 10–80°); and (b) XRD pattern of PANI/WO3/CuO (2θ = 30–38°).
Figure 2. (a) XRD patterns of PANI, WO3, WO3/CuO, and PWC10 (2θ = 10–80°); and (b) XRD pattern of PANI/WO3/CuO (2θ = 30–38°).
Sensors 25 02640 g002
Figure 3. (a) PANI nanofibers; (b) spherical WO3/CuO; (c,d) SEM images of PWC10; and (e) EDS elemental distribution maps of W, O, and Cu in the PWC10 composite.
Figure 3. (a) PANI nanofibers; (b) spherical WO3/CuO; (c,d) SEM images of PWC10; and (e) EDS elemental distribution maps of W, O, and Cu in the PWC10 composite.
Sensors 25 02640 g003
Figure 4. (a) The full XPS spectra of PANI and PWC10; and (bd) high-resolution XPS spectra of W 4f, C 1s, and N 1s of PWC10.
Figure 4. (a) The full XPS spectra of PANI and PWC10; and (bd) high-resolution XPS spectra of W 4f, C 1s, and N 1s of PWC10.
Sensors 25 02640 g004
Figure 5. Schematic diagram of the test platform.
Figure 5. Schematic diagram of the test platform.
Sensors 25 02640 g005
Figure 6. (a) Response–recovery curve of pure PANI to 10 ppm H2S gas at room temperature; (b) recovery curve of PANI/WO3/CuO to 1 ppm H2S gas at room temperature; (c) Continuous cycle response recovery curve of PANI/WO3/CuO to 1 ppm hydrogen sulfide at room temperature; (d) response curve of PANI/WO3/CuO to different concentrations of H2S at room temperature; and (e) effect of WO3/CuO addition (mole percentage) on the gas-sensitivity performance of PWC sensor.
Figure 6. (a) Response–recovery curve of pure PANI to 10 ppm H2S gas at room temperature; (b) recovery curve of PANI/WO3/CuO to 1 ppm H2S gas at room temperature; (c) Continuous cycle response recovery curve of PANI/WO3/CuO to 1 ppm hydrogen sulfide at room temperature; (d) response curve of PANI/WO3/CuO to different concentrations of H2S at room temperature; and (e) effect of WO3/CuO addition (mole percentage) on the gas-sensitivity performance of PWC sensor.
Sensors 25 02640 g006
Figure 7. (a) Response values of PANI/WO3/CuO to various gases at room temperature; (b) response of the PWC10 sensor under different bending cycles; and (c) variation in response of the PWC10 sensor over 30 days.
Figure 7. (a) Response values of PANI/WO3/CuO to various gases at room temperature; (b) response of the PWC10 sensor under different bending cycles; and (c) variation in response of the PWC10 sensor over 30 days.
Sensors 25 02640 g007
Figure 8. Sensor based on PWC10-sensitive material at room temperature for initial resistance in (a) air and (b) sensor response values in the humidity range of 1 ppm H2S 20–80%.
Figure 8. Sensor based on PWC10-sensitive material at room temperature for initial resistance in (a) air and (b) sensor response values in the humidity range of 1 ppm H2S 20–80%.
Sensors 25 02640 g008
Table 1. PANI-based gas-sensitive materials for H2S detection.
Table 1. PANI-based gas-sensitive materials for H2S detection.
TypeMaterialsOT (°C)Gas (ppm)LOD (ppm)ResponseTres (s)Trec (s)Ref.
metalPANI/AuNPs2001-48%--[21]
PANI/AgRT25-73.35%0.820.81[22]
metal oxidesPANI/ZnORT500.140.5%6312[23]
PANI/CuORT25-188%>300-[24]
PANI/WO3/CuCl2RT1.1560.393.62%67.9250[25]
PANI/WO3/CuORT10.131.3%3534958This work
carbon materialsPANI/SnO2/rGORT50.0591.11%8088[26]
PANI/CART50124.64 (Ra/Rg)11065[27]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, D.; Liu, Y.; Wang, Y.; Li, Z.; Xiao, D.; Zhou, T.; Sun, M. Flexible Gas Sensor Based on PANI/WO3/CuO for Room-Temperature Detection of H2S. Sensors 2025, 25, 2640. https://doi.org/10.3390/s25092640

AMA Style

Zhang D, Liu Y, Wang Y, Li Z, Xiao D, Zhou T, Sun M. Flexible Gas Sensor Based on PANI/WO3/CuO for Room-Temperature Detection of H2S. Sensors. 2025; 25(9):2640. https://doi.org/10.3390/s25092640

Chicago/Turabian Style

Zhang, Dongxiang, Yingmin Liu, Yang Wang, Zhi Li, Dongkun Xiao, Tianhong Zhou, and Mojie Sun. 2025. "Flexible Gas Sensor Based on PANI/WO3/CuO for Room-Temperature Detection of H2S" Sensors 25, no. 9: 2640. https://doi.org/10.3390/s25092640

APA Style

Zhang, D., Liu, Y., Wang, Y., Li, Z., Xiao, D., Zhou, T., & Sun, M. (2025). Flexible Gas Sensor Based on PANI/WO3/CuO for Room-Temperature Detection of H2S. Sensors, 25(9), 2640. https://doi.org/10.3390/s25092640

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