Original Research ARTICLE
Mesoporous WO3 Nanofibers With Crystalline Framework for High-Performance Acetone Sensing
- 1State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China
- 2Materials Genome Institute, Shanghai University, Shanghai, China
- 3Institute of Functional Materials, Donghua University, Shanghai, China
- 4School of Materials Science and Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China
Semiconducting metal oxides with abundant active sites are regarded as promising candidates for environmental monitoring and breath analysis because of their excellent gas sensing performance and stability. Herein, mesoporous WO3 nanofibers with a crystalline framework and uniform pore size is successfully synthesized in an aqueous phase using an electrospinning method, with ammonium metatungstate as the tungsten sources, and SiO2 nanoparticles and polyvinylpyrrolidone as the sacrificial templates. The obtained mesoporous WO3 nanofibers exhibit a controllable pore size of 26.3–42.2 nm, specific surface area of 24.1–34.4 m2g−1, and a pore volume of 0.15–0.24 cm3g−1. This unique hierarchical structure, with uniform mesopores and interconnected channels, could facilitate the diffusion and transportation of gas molecules in the framework. Gas sensors, based on mesoporous WO3 nanofibers, exhibit an excellent performance in acetone sensing with a low limit of detection (<1 ppm), short response-recovery time (24 s/27 s), a linear relationship in a broad range, and good selectivity.
Over the past few decades, the precise monitoring of toxic polluting gases has attracted great attention in modern society in environmental protection, industrial production, health care, and so forth (Kawano et al., 2007; Wang et al., 2007; Salehi et al., 2014). Acetone is a common type of reagent which is frequently used in manufacturing industries and laboratories (Zhang et al., 2017). As a highly toxic gas, acetone is harmful to human health, and long-term exposure to acetone may cause irritation and damage to the eyes, nose, and central nervous system (Jia et al., 2014). In addition, acetone concentrations in respiration can be characterized as a biomarker in the rapid diagnosis of diabetes, because acetone concentrations exhaled from diabetes patients (1.8 ppm) are much higher than in a healthy individual (0.3–0.9 ppm) (Singkammo et al., 2015; Zhou et al., 2018). Therefore, it is of great interest and importance to develop acetone sensors with a low detection limit, fast response recovery dynamics, high sensitivity and selectivity. Among a variety of sensing-active materials used for the detection of acetone, metal oxide semiconductors (WO3, TiO2, SnO2, ZnO, Fe2O3, etc.) have been considered as appealing candidates due to their remarkable sensitivity, low cost, and excellent stability (Wang et al., 2010; Luo et al., 2013; Kim and Lee, 2014; Zhu et al., 2017a; Zhou et al., 2018). The sensing mechanism of semiconducting metal oxides (SMOs)-based sensors is widely accepted to be the change in conductivity when exposed in specific gas. The adsorbed gaseous analytes may cause an increase or decrease in the resistance of semiconducting metal oxides (Barsan and Weimar, 2001; Yamazoe et al., 2003; Qiu et al., 2018; Zhang Q. et al., 2018). Given that the gas-sensing process involves the adsorption–desorption and catalytic reactions on the surface of the metal oxides, a rational design and controllable synthesis of nanomaterials with high surface areas, abundant active sites, tailor-designed nanostructures and outstanding catalytic performance, are considered as promising approaches to enhance the sensing performance of the semiconducting metal oxides.
Mesoporous semiconducting metal oxides (MSMOs), as an important category of nanostructured materials, have drawn much attention because of their high surface area, uniform pore size, highly crystalline framework, numerous active sites, interconnected pore structure and large pore size. The high surface area and abundant active sites greatly facilitates the interaction between metal oxide frameworks and gaseous molecules, as well as surface catalytic reactions. In addition, the large porosity and well-connected mesostructure favors rapid and effective diffusion of gas molecules (Li et al., 2014; Luo et al., 2016b; Ma et al., 2018). Therefore, MSMOs are regarded as promising candidates for gas sensing. To date, various MSMOs have been synthesized through different approaches, such as sol–gel processes, spray pyrolysis, chemical vapor deposition and precipitation reactions (Du et al., 2011; Luo et al., 2016a; Zhao et al., 2016; Channei et al., 2018; Jha G. et al., 2018; Zhang Y. et al., 2018). However, these methods usually give rise to an uncontrolled morphology and low porosity, which is not favorable for sensing performance. Additionally, a lot of work has been focused on the design and construction of various nanostructures of SMOs to improve the their sensing performance, including zero-dimensional nanoparticles (NPs) (Yang Z. et al., 2018; Zhang H. et al., 2018; Zhao et al., 2019), one-dimensional nanofibers (NFs) (Saha and De, 2013; Kim et al., 2016a; Ren et al., 2016; Nada et al., 2017; He et al., 2018; Jeong et al., 2018) and nanowires (NWs) (Wang et al., 2004; Rakhi et al., 2012; Dam and Lee, 2013; Chen et al., 2015; Li X. et al., 2017), two-dimensional nanosheets (Wang et al., 2016, 2017; Li F. et al., 2017; Kaneti et al., 2018) and membranes (Dasog et al., 2012; Barr et al., 2017; Jha G. et al., 2018; Wang W. Q. et al., 2018). Nanofibers have drawn particular attention due to their exceptionally high surface area-to-volume ratio, high porosity, superior surface permeability and accessibility, making them an attractive candidate for gas sensing (Guo et al., 2014; Jha R. K. et al., 2018; Yan et al., 2018). Electrospinning technology has been demonstrated as an effective approach to prepare micro-sized and nano-sized fibers. The structure, morphology and dispersion of functional components of the fibers synthesized by electrospinning can be well-tailored through well-controlled conditions and compositions (Wang and Hashimoto, 2018; Yoon et al., 2018; Zhang D. et al., 2018). Kim et al. fabricated semiconducting metal oxide nanofibers through a protein nanocage templating route, to detect trace amounts of target biomarkers in exhaled breath (Kim et al., 2016a). Nevertheless, up to now, it remains a great challenge to construct mesoporous structures in nanofibers with controllable pore size and morphologies, which is highly desirable for improved gas sensing performance.
Among various SMOs, tungsten oxide (WO3), an n-type semiconductor with a band-gap of 2.5 eV, is a promising sensing material for the detection of gas due to its variable oxidation states and suitable band structure (Wang C. Y. et al., 2018). Herein, we adopt a facile approach based on electrospinning to synthesize mesoporous WO3 nanofibers (NFs) with uniform and controllable pore sizes using SiO2 nanoparticles and polyvinylpyrrolidone (PVP) as sacrificial templates, ammonium paratungstate as a tungsten precursor and water as a solvent. Due to the support of the rigid PVP species during electrospinning process, the interconnected porous structure and unique fiber-like morphology can be well-maintained after calcination in nitrogen and air, followed by treatment with hydrofluoric acid selectively etched silica particles, creating uniform mesopores in the nanofibers. The obtained mesoporous WO3 NFs have crystalline frameworks, large uniform pore sizes of 26.3 nm and 42.2 nm, and their specific surface area and pore volume can be as high as 34.4 m2/g and 24.1 cm3/g, respectively. Moreover, the mesoporous WO3 NFs based sensors exhibit superior gas sensing performance with a fast response (24 s) and recovery (27 s), high sensitivity of 23 (Ra/Rg) at 50 ppm when operating at 300°C, an ultralow limit of detection of 1 ppm, and good selectivity, which contributes to their good merits of suitable pore size, high surface area and abundant active sites located on the surface, and continuous and crystalline framework with open pore channels. Such an excellent sensing performance opens up the possibility for the mesoporous WO3 NFs based sensor to be used in many fields such as environmental monitoring and in the rapid diagnosis of disease.
Chemicals and Materials
Tetraethyl orthosilicate (TEOS), ethanol, NH4OH solution and hydrofluoric acid of AR grade were purchased from Sino-Pharm Chemical Reagent Co. Ltd. Polyvinylpyrrolidone (PVP, Mw ≈ 40,000 g/mol) was purchased from Aldrich. Ammonium metatungstate hydrate [(NH4)6H2W12O40·xH2O, 99.5% metals basis] was purchased from Aladdin.
Preparation of SiO2 NPs
The SiO2 NPs with different diameters was prepared using a base catalyzed sol-gel method previously reported (Dasog et al., 2012). Typically, TEOS (10 mL) was dissolved in a solvent mixture of ethanol (10 mL), deionized water (20 mL) and NH4OH solution (42 %, 5 mL). The obtained solution was further stirred for 1 or 2 h to yield different size SiO2 NPs. The white precipitate was collected by vacuum filtration and washed with deionized water four times. The solid was transferred to an oven and was kept there for 24 h at 100°C to remove any residual water and ethanol.
Synthesis of Mesoporous WO3 NFs
Typically, mesoporous WO3 NFs were synthesized through an electrospinning method as follows: (NH4)6H2W12O40·xH2O (2.7 g) and PVP (3.0 g) was dissolved in deionized water (4 mL). This was followed by the addition of SiO2 NPs (0.035 g) with a diameter of 25 nm. Then, the solution was stirred for 20 h for further electrospinning. The as-prepared gel was loaded into a plastic syringe and connected to a high voltage power supply for electrospinning. Twenty kilovolts high voltage was applied between the spinneret and the collector in a gap of 15 cm. In this way, hybrid precursor nanofibrous membranes were obtained. Then, the as-made products were heated with a ramp of 1°C min−1 to 350°C for 3 h in nitrogen, resulting in the carbon-supported amorphous tungsten oxide powders. The carbon species was removed and crystallization of the amorphous tungsten oxide frameworks was carried by subsequent heat treatment with a ramp of 1°C min−1 to 500°C in air for another 1 h. SiO2 NPs was completely removed from the composites by treatment with a HF solution (5 wt% aqueous solution, 8 mL) for 2 h and subsequently washed with deionized water and ethanol. Finally, the obtained sample was denoted as mesoporous WO3-25 NFs. Through the same approach, silica NPs with larger diameters (~40 nm) were also used as a hard template to synthesize mesoporous WO3 NFs, and the obtained samples were denoted as mesoporous WO3-40 NFs. Control experiments, without addition of SiO2 NPs, were performed according to the same method and procedure, and the obtained sample was denoted as a non-mesoporous WO3 NFs.
Measurement and Characterization
Field-emission scanning electron microscopy (FE-SEM) was operated on a Hitachi S4800 (Japan) field-emission scanning electron microscope. Transmission electron microscopy (TEM) was conducted on a JEM-2100 F at an accelerating voltage of 200 kV. Wide-angle X-ray diffraction (XRD) patterns were collected on a Rigaku D/Max-2550 PC diffractometer (Tokyo, Japan) in the 2θ range of 10–90°. Nitrogen sorption isotherms were measured at 77 K with a Micromeritics Tristar 3020 analyzer (USA). Before measurements, the samples were degassed under vacuum at 180°C for at least 6 h. The Brunauer-Emmett-Teller (BET) method was utilized to calculate the specific surface areas using the adsorption data at P/P0 = 0.02–0.20. The pore size distribution (PSD) was calculated from the adsorption branch using the Barrett-Joyne-Halenda (BJH) model. The total pore volume (Vtotal) was estimated from the adsorbed amount at P/P0 = 0.995. The XPS were collected on an RBD 147 upgraded PHI 5000C ESCA system with a dual X-ray source. The Mg Kα (1253.6 eV) anode and a hemispherical energy analyzer were used in the measurements. All of the binding energies were referenced to the C 1s peak at 284.8 eV of the surface adventitious carbon.
Gas Sensing Performance
Side-heated gas sensors were prepared using a similar method reported previously (Zhang et al., 2009). The mesoporous (or non-mesoporous) WO3 NFs was mixed with deionized (DI) water and ground in an agate mortar to form a paste. The mass ratio of mesoporous (or non-mesoporous) WO3 NFs to DI water in the paste is 7:3. The paste was coated on an alumina ceramic tube printed with a pair of Au electrodes, and the thickness of the paste membrane was about 300 μm. Subsequently, the coated alumina ceramic tube was dried at room temperature for 24 h and then annealed at 300°C for 2 h with a ramping rate of 5°C/min in air. Then, a Ni–Cr alloy wire was inserted into the tube as a heater, and the working temperature could be adjusted by changing the heating voltage. Furthermore, the obtained sensor was kept at the optimal working temperature for a week before measurement to further improve the long-term stability. The assembled sensing device is depicted in Figure 1A. The stationary state gas distribution method was applied for testing the gas response. In the electric circuit for measuring the gas response (Figure 1B), a load resistor (RL) was connected in series with a gas sensor. The circuit voltage (VC) was set at 5 V and the output voltage (VOUT) was the terminal voltage of the load resistor. Test gases (such as acetone, methanol, ethanol, toluene, formaldehyde) were injected into a test chamber and diluted with air. The gas response of the sensor is defined as S = Ra/Rg (for reducing gases) or S = Rg /Ra (for oxidizing gases), where Ra is the sensor resistance in air and Rg is that in the gas tested. The response time is defined as the time taken for the variation in conductance to reach 90% of the equilibrium value after a test gas was injected, and the recovery time is the time taken for the sensor to return to 10% above the original conductance in air after releasing the test gas, respectively.
Figure 1. (A) Sketch of the structure of the side-heated mesoporous WO3 NFs based gas sensor. (B) Electric circuit of gas sensing measurements.
Results and Discussion
The diameters of the as-synthesized SiO2 NPs are estimated to be 25 and 40 nm from the TEM images (Figures S1A,B). An electrospinning technique was employed to construct mesoporous WO3 NFs from precursor solutions containing (NH4)6H2W12O40·xH2O, PVP, SiO2 NPs, and deionized water, as shown in Scheme 1. The as-spun tungsten species/PVP/SiO2 NFs was subjected to calcination at 350°C in nitrogen, giving rise to WO3/carbon/SiO2 NFs owing to the partial carbonization of the PVP species. The carbonized PVP can provide carbon support inside the frameworks, which can prevent the collapse of the fiber morphology during the crystallization process of WO3. Finally, after further pyrolysis at 500°C in air, and selective etching with hydrofluoric acid to remove the supporting carbon species and SiO2 sacrificing templates, mesoporous WO3 NFs is formed as a result. By using SiO2 NPs with different diameters, two WO3 NFs can be obtained and denoted as mesoporous WO3-x NFs, wherein x represents the particle size of SiO2 NPs. For comparison, non-mesoporous WO3 NFs was also synthesized via the same approach but without SiO2 NPs loading.
Field-emission scanning electron microscopy (FE-SEM) observation reveals that all of the as-spun composites have a uniform fiber-like morphology with a dimeter of about 450–500 nm (Figure 2A; Figures S2A, S3A) and smooth surfaces (insets in Figure 2A; Figures S2A, S3A). After pyrolysis in N2 at 350°C, black WO3/carbon /SiO2 (25 nm), WO3/carbon/SiO2 (40 nm), and WO3/carbon NFs can be obtained, owing to the partially carbonization of the PVP species. Compared to the as-spun NFs, the composites retained their uniform fiber morphology, and much rougher surfaces are clearly visible in the surface (Figure 2B; Figures S2B, S3B). After complete removal of carbon and silica species by further calcination in air at 500°C and etching with hydrofluoric acid, all the WO3 NFs also retained the fiber morphology, indicating a good thermal stability, and their diameters were decreased to 250–300 nm due to the framework shrinkage at high temperature (Figure 2C; Figures S2C, S3C). It is worth noting that the WO3 NFs consisted of large numbers of nanograins, and boundaries can be clearly observed. An FESEM image taken along the cross-section of the mesoporous WO3-25 NFs clearly indicates the existence of mesopores around 25–30 nm (inset in Figure 2C), which is in good agreement with the diameter of SiO2 nanoparticles. Due to a larger diameter of the sacrificial SiO2 template, uniform mesopores of about 40–50 nm can be clearly visible in the SEM image of mesoporous WO3-40 NFs (Figure S2C). And no obvious mesopores were observed on non-mesoporous WO3 NFs (Figure S3C), attributing to the absence of the sacrificial SiO2 template.
Figure 2. FESEM images of (A) as-spun tungsten species/PVP/SiO2 (25 nm) NFs, (B) WO3/carbon/SiO2 (25 nm) NFs, (C) mesoporous WO3-25 NFs. TEM images of (D) WO3/carbon/SiO2 (25 nm) NFs, (E) mesoporous WO3-25 NFs. HRTEM image of (E) mesoporous WO3-25 NFs. (F) Scanning TEM image and the corresponding EDS mapping images (G) of elemental W, Si, C, and O for WO3/carbon/SiO2 (25 nm) NFs.
Transmission electron microscopy (TEM) observations further confirmed that the NFs obtained after pyrolysis at 350°C are fibrous in shape with a diameter of 400–450 nm (Figure 2D; Figures S2D, S3D). The scanning TEM (STEM) image and energy dispersive X-ray elemental mapping recorded on WO3/carbon/SiO2 (25 nm) NFs clearly reveals that the W, Si, C, and O elements are homogeneously distributed in entire NFs (Figure 2G). It suggests that the carbonized PVP molecules can provide rigid support inside the frameworks, forming a “reinforced-concrete” framework structure with WO3 species. which can prevent the collapse of the NFs. TEM images of mesoporous WO3-25 and mesoporous WO3-40 NFs clearly indicate that the fiber-like morphology are well-retained, and the material consists of interconnected WO3 nanoparticles, as well as the existence of numerous mesopores (Figure 2E; Figure S2E), which can offer abundant active sites to interact with guest molecules, greatly facilitating the diffusion of gas molecules. Additional EDS analyses of the mesoporous WO3-25 NFs and WO3-40 NFs were carried out as depicted in Figures S4A,B, respectively. The absence of peaks from Si in the EDS spectrum indicates the complete removal of SiO2 by HF etching. Similarly, no obvious mesopores, but only WO3 nanoparticles, were shown in the TEM image of non-mesoporous WO3 NFs (Figure S3E). High resolution TEM (HR-TEM) images of mesoporous and non-mesoporous WO3 NFs clearly show the lattice fringes of tungsten oxide with a d-spacing of 0.36 nm (Figure 2F; Figures S2F, S3F), corresponding to the (200) planes, suggesting that the framework consists of well-crystallized and interconnected WO3 nanoparticles. Selected-area electron diffraction (SAED), recorded on different WO3 NFs showed well-resolved diffraction rings corresponding with the (200), (112), and (022) crystal planes of monoclinic phase WO3 (insets in Figure 2F, Figures S2F, S3F), further confirming the crystalline feature of the scaffold.
Wide-angle X-ray diffraction (WA-XRD) patterns indicate that the WO3/carbon/SiO2 (25 nm), WO3/carbon/SiO2 (40 nm), and WO3/carbon NFs exbibits the amorphous feature contributing to the poor crystallization (Figure 3A). After crystallization at 500°C, and removal of the silica nanoparticles by selective etching with hydrofluoric acid, mesoporous WO3-25, mesoporous WO3-40 and non-mesoporous WO3 NFs shows well-resolved diffraction peaks in the range of 10–70°C, matching well with the crystalline monoclinic phase of WO3 with lattice parameters of a = 0.7297, b = 0.7539, c = 0.7688 nm, and β = 90.91 (JCPDS No. 43–1,035). No diffraction peaks from other crystalline impurities are observed in the XRD patterns, indicating pure crystalline phase, which agreeing well with the HR-TEM results. The broadening of the diffraction peaks can be attributed to the small particle size of WO3 nanocrystals (Li et al., 2014).
Figure 3. (A) XRD patterns of (1) mesoporous WO3-25 NFs, (2) mesoporous WO3-40 NFs, (3) non-mesoporous WO3 NFs, (4) WO3/carbon/SiO2 (25 nm) NFs, (5) WO3/carbon/SiO2 (40 nm) NFs, (6) WO3/carbon NFs. (B) Nitrogen-sorption isotherms and (C) pore size distribution curves of mesoporous WO3-25 NFs and mesoporous WO3-40 NFs.
Nitrogen adsorption-desorption isotherms of the obtained mesoporous WO3-25 NFs exhibit type-IV curves with H1 hysteresis loop (Figure 3B). The steep increase in the adsorption band at P/P0 = 0.75–0.96 indicates mesopores with a large and uniform pore size. The pore diameter is about 26.3 nm as indicated in the pore size distributions derived from the adsorption branch of the isotherms by using Barrett-Joyner-Halenda (BJH) model (Figure 3C). The specific surface area and total pore volume of mesoporous WO3-25 NFs are calculated to be as high as 34.4 m2g−1 and 0.15 cm3g−1, respectively. Similarly, mesoporous WO3-40 NFs also display type-IV curves with sharp capillary condensation steps in the relative pressure range of 0.78–0.97 (Figure 3B). The pore size distribution profile reveals a mesopore size of 42.2 nm (Figure 3C), indicating that the hard template silica nanoparticles with larger diameters result in larger mesopores. The surface area and total pore volume of mesoporous WO3-40 NFs are approximately 24.1 m2g−1 and 0.24 cm3g−1, respectively. Such a porous structure provides an amplified target-receptor interface and is beneficial for the diffusion and adsorption of large guest molecules, making it an ideal candidate for many applications involving host-guest interactions, such as catalysis and gas sensing. In addition, nitrogen adsorption–desorption isotherms of non-mesoporous WO3-NFs show type-IV curves with H3 hysteresis loop (Figure S5A). The surface area and total pore volume of non-mesoporous WO3NFs is 19.5 m2g−1 and 0.17 cm3g−1, respectively. The average pore size calculated from the adsorption branch using the BJH method is about 5.3 nm (Figure S5B), much smaller than that of the etched samples (26.3 nm for mesoporous WO3-25 NFs and 42.2 nm for mesoporous WO3-40 NFs), which can be attributed to the stacked pores of small WO3 grains.
X-ray photoelectron spectroscopy (XPS) is further used to investigate the surface composition and elemental states of the NFs before and after etching. For the WO3/SiO2 (25 nm) composite NFs (denoted as WO3-25/SiO2 NFs) before etching, four peaks corresponding to W 4f, Si 2p, W 4d and O 1s are shown in the survey spectrum (Figure S6A). However, after etching, the Si 2p peak at 103.3 eV disappears, indicating the complete removal of SiO2 species by HF (Xu et al., 2015; Shi et al., 2016). The high-resolution XPS W 4d spectrum (Figure S6B) of the samples after etching show similar spectra and can be fitted with two peaks centering at 35.8 and 37.9 eV, which can be assigned to W6+ 4f7/2 and W6+ 4f5/2, respectively (Wang et al., 2012). These results indicate that completely oxidized W is not changed during the etching process in mesoporous WO3-25 NFs, mesoporous WO3-40 NFs and non-mesoporous WO3 NFs samples. The state of O 1s indicates two types of oxygen in the surface (Figure S6C), lattice oxygen (O2−) and adsorbed oxygen (O− and O2−). Usually, the adsorbed oxygen was more active to react with reducing gases compared with lattice oxygen, changing the concentration of main carriers (Zhu et al., 2017a).
Inspired by the unique structure of obtained mesoporous WO3 fibers with ultra-large and controllable pore size, we tested the performance of mesoporous WO3-25, mesoporous WO3-40 and non-mesoporous WO3 NFs as sensing materials for the detection of acetone to investigate their potential application in the detection of acetone leakage and diagnosis for diabetes. The schematic diagram of sensing mechanism is shown in Figure 4A. In the gas sensing test, probe gases such as acetone were injected into a test chamber and mixed with air. The gas response of the sensor in this study is defined as S = Ra/Rg, where Ra and Rg is the resistance of the sensor in air and test gas, respectively. The response time is defined as the time required from Ra to Ra-90% × (Ra-Rg) after a test gas was injected, and the recovery time is defined as the time required from Rg to Rg + 90% × (Ra-Rg) in air after releasing the test gas, respectively. Since the sensing performances of semiconductors for a specific gas are usually dependent on the working temperature, parallel tests of mesoporous WO3-25, mesoporous WO3-40 and non-mesoporous WO3 NFs based sensors were carried out toward a 50 ppm acetone gas in a range of 150–400°C to optimize the working temperature region (Figure 4B). It can be seen that the response of all sensors increased continuously until reaching a maximum value at 300°C and then decreased upon increase of the operating temperature. Such response behavior is due to the balance of the competition between the increase of the surface reaction rates and the decrease in the number of active sites for the adsorption of acetone at high temperatures. As a result, 300°C was adopted as the optimum working temperature for subsequent acetone detections.
Figure 4. (A) sensing mechanism of WO3 NFs toward acetone. (B) responses of the mesoporous and non-mesoporous WO3 NFs sensor to 50 ppm acetone at different operating temperatures (150–400°C). (C) repeating response and recovery curve of the mesoporous and non-mesoporous WO3 NFs to 50 ppm acetone.
In contrast, it was found that both of the mesoporous sensing materials, mesoporous WO3-25 and WO3-40 NFs, have shown higher responses to acetone than the non-mesoporous WO3 NFs. Such phenomenon may contribute to the uniform mesopores and interconnected transportation channels of mesoporous WO3 NFs resulting from the sacrificial templates including silica nanoparticles and PVP species, which provides a huge interface for the creation of active sites for acetone gas interaction, and greatly facilitates the diffusion of gas molecules in the framework. In addition, the response value increases dramatically from 13.7 for mesoporous WO3-40 NFs to 22.1 for mesoporous WO3-25 NFs at the same temperature, indicating that the sensitivity of the materials is closely related to its specific surface area. Mesoporous WO3-25 NFs with a higher surface area (34.4 m2g−1) could provide more active surface sites for numerous surface reactions between guest molecules and adsorbed oxygen species on the solid-gas interface. Therefore, the response value of mesoporous WO3-25 NFs is higher than the non-mesoporous WO3 NFs during the operating temperature range from 150 to 400°C (Figure 4B), and the sensitivity of mesoporous WO3-25 NFs is 66% higher than that of non-mesoporous WO3 for 50 ppm at the optimal operation temperature (Figure 4C). Moreover, the mesoporous WO3-25 NFs shows a response time of 24 s, much shorter than that of non-mesoporous WO3 (67 s), as shown in the Figure S7. The faster response is mainly attributed to its porous structure, which could facilitate the diffusion and transport of target gas via enormous pore channels to interact with WO3 NFs, quickly reaching the maximum sensitivity. The reversible cycles of the response curves illustrate a stable and reliable operation of acetone sensing of all the WO3 NFs, and further confirm the consistency of mesoporous WO3-25 NFs based sensors (Figure 4C). The continuous dynamic electrical response of mesoporous WO3-25 NFs toward different concentration of acetone (5–125 ppm) at 300°C is shown in Figure 5A. With the increase in acetone concentration, the response values of mesoporous WO3-25 NFs based gas sensors rapidly increased from 3.1 at 5 ppm to 89 at 125 ppm. After aeration, the acetone molecules desorbed immediately from the surface of tungsten oxides. The response can be recovered to its initial value for all the testing concentrations, reflecting a good reversibility of the gas sensor. Surprisingly, the minimum detectable concentration can reach as low as 1 ppm (Figure S8). As shown in Figure 5B, a linear relationship between the sensing response and acetone concentrations is observed, indicating the feasibility of quantitative acetone detection by the mesoporous WO3 NFs based sensors. As important parameters for a gas sensor, the response and recovery behaviors are also crucial for evaluating the sensing performance. The mesoporous WO3-25 NFs based sensor exhibits a fast response of 24 s upon exposure to 50 ppm acetone and quick recovery of 27 s when acetone gas was removed (Figure 5C). In addition, compared with earlier reported acetone sensors, our mesoporous WO3 NFs exhibits much better comprehensive sensing performance such as high sensitivity, low limits of detection and fast response-recovery (Table 1), thus becoming a promising candidate for acetone sensing in environmental monitoring and rapid medical diagnosis. Based on the aforementioned results, the predominant enhancement could mainly be explained as follows: (1) The unique hierarchical structure where uniform and controllable mesopores are well-connected with enormous transportation channels derived from PVP species, which facilitate the rapid diffusion of gas molecules. (2) The high specific surface area with abundant active sites enables the adsorption of a large amount of acetone molecules. (3) The continuous crystalline framework is also favorable for the fast transportation of charge carriers from the surface into bulk. It can therefore be concluded that the unique feature of our materials can maximize the performance of gas sensing. The selectivity of gas sensors is also an important parameter in practical applications. In this work, four kinds of typical vaporous molecules with identical concentration of 50 ppm, such as methanol, ethanol, toluene, and formaldehyde were selected as interfering gases. As illustrated in Figure 5D, the response value of a mesoporous WO3-25 NFs based sensor to acetone was at least four times higher than that of interfering gases, which implies an excellent selectivity.
Figure 5. (A) response–recovery curve and (B) relationships between acetone concentration and response of the mesoporous WO3-25 NFs sensor to acetone vapors of different concentrations. (C) dynamic response–recovery curve of mesoporous WO3-25 NFs sensor to 50 ppm acetone. (D) responses of the mesoporous WO3-25 NFs sensor to various gases at 50 ppm.
Table 1. Comparison of acetone sensing properties of WO3 or WO3 based sensors with various nanostructures.
In summary, mesoporous WO3 NFs with controllable pore diameters were synthesized via a facile electrospinning of an aqueous solution containing ammonium paratungstate, PVP and SiO2 NPs sacrificing templates, followed by controlled pyrolysis at a high temperature and selective etching with hydrofluoric acid. The PVP species can provide rigid support inside frameworks, which can prevent the collapse of the unique fiber morphology and the well-connected porous structure. The decomposition of the PVP species during calcination and the etching of SiO2 NPs was also found to contribute to the formation of interconnected transportation channels and uniform mesopores in the framework of the fibers. The obtained mesoporous WO3 NFs possess a tunable pore size (26.3 and 42.2 nm), high surface area and pore volume (up to 34.4 m2/g and 0.24 cm3g−1), and a well-developed hierarchical porous structure and crystalline pore walls. Sensors based on these materials were found to have an excellent acetone sensing performance with a fast response (24 s) and recovery (27 s), a low detection limit of 1 ppm, excellent selectivity and good stability, due to their high mesoporosity, abundant active sites and the continuous crystalline framework. Based on the above-mentioned results, the obtained mesoporous WO3 NFs holds great promise for applications in various fields such as portable miniaturized devices used for environmental monitoring, and breath analysis used for disease pre-diagnosis and home security. Moreover, it is expected that the facile and effective electrospinning approach may open up new opportunities for the design of various mesoporous metal oxide NFs with high surface areas, crystalline frameworks and greatly improved mass diffusion and transportation for application in sensors, catalysis, energy storage and conversion.
WL and JY conceived and designed the experiments. HX, TZ, YZ and JG performed the experiments. ML, GZ, LW, WJ, YF, MZ analyzed the data. WL and HX wrote the manuscript. XQ designed the scheme. All authors reviewed the manuscript and approved the final version.
This work was supported by National Natural Science Foundation of China (51822202, 51772050, 51702046, 51432004, 51774096), the Shanghai Rising-Star Program (18QA1400100), the Shanghai Committee of Science and Technology, China (No. 17ZR1401000), the Shanghai Pujiang Program (No. 17PJ1400100), the Youth Top-notch Talent Support Program of Shanghai, the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, the DHU Distinguished Young Professor Program and the Fundamental Research Funds for the Central Universities, the Innovation Program of Shanghai Municipal Education Commission (2017-01-07-00-03-E00025).
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fchem.2019.00266/full#supplementary-material
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Keywords: mesoporous materials, WO3, nanofibers, electrospun, acetone, sensor
Citation: Xu H, Gao J, Li M, Zhao Y, Zhang M, Zhao T, Wang L, Jiang W, Zhu G, Qian X, Fan Y, Yang J and Luo W (2019) Mesoporous WO3 Nanofibers With Crystalline Framework for High-Performance Acetone Sensing. Front. Chem. 7:266. doi: 10.3389/fchem.2019.00266
Received: 26 November 2018; Accepted: 01 April 2019;
Published: 18 April 2019.
Edited by:Fan Zhang, Fudan University, China
Reviewed by:Xian Chen, Shenzhen University, China
Jingsan Xu, Queensland University of Technology, Australia
Copyright © 2019 Xu, Gao, Li, Zhao, Zhang, Zhao, Wang, Jiang, Zhu, Qian, Fan, Yang and Luo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
†These authors have contributed equally to this work