Synthesis of Graphene Oxide Interspersed in Hexagonal WO3 Nanorods for High-Efficiency Visible-Light Driven Photocatalysis and NH3 Gas Sensing

WO₃ nanorods and GO (at 1 wt% loading) doped WO₃ were synthesized using a template free deposition-hydrothermal route and thoroughly characterized by various techniques including XRD, FTIR, Raman, TEM-SAED, PL, UV-Vis, XPS, and N₂ adsorption. The nano-materials performance was investigated toward photocatalytic degradation of methylene blue dye (20 ppm) under visible light illumination (160 W, λ> 420) and gas sensing ability for ammonia gas (10–100 ppm) at 200°C. HRTEM investigation of the 1%GO.WO₃ composite revealed WO₃ nanorods of a major d-spacing value of 0.16 nm indexed to the crystal plane (221). That relevant plane was absent in pure WO₃ establishing the intercalation with GO. The MB degradation activity was considerably enhanced over the 1%GO.WO₃ catalyst with a rate constant of 0.0154 min⁻¹ exceeding that of WO₃ by 15 times. The reaction mechanism was justified dependent on electrons, holes and •OH reactive species as determined via scavenger examination tests and characterization techniques. The drop in both band gap (2.49 eV) and PL intensity was the main reason responsible for enhancing the photo-degradation activity of the 1%GO.WO₃ catalyst. The later catalyst initiated the two electron O₂ reduction forming H₂O₂, that contributed in the photoactivity improvement via forming •OH moieties. The hexagonal structure of 1%GO.WO₃ showed a better gas sensing performance for ammonia gas at 100 ppm (R_a-R_g/R_g = 17.6) exceeding that of pure WO₃ nanorods (1.27). The superiority of the gas-sensing property of the 1%GO.WO₃ catalyst was mainly ascribed to the high dispersity of GO onto WO₃ surfaces by which different carbon species served as mediators to hinder the recombination rate of photo-generated electron-hole pairs and therefore facilitated the electron transition. The dominancy of the lattice plane (221) in 1%GO.WO₃ formed between GO and WO₃ improved the electron transport in the gas-sensing process.

Introduction

The nanoscience and nanotechnology have allowed the development of nanosized materials of unique electronic and optical properties quite different from those of their bulk states (Pang et al., 2010). Metal nanoparticles were recognized to reveal sum of unique optical and electronic properties, which result largely from surface plasmon resonance phenomenon. However, the high cost and low stability following annealing usually limits their applications. Nevertheless, composite materials including metal oxide nanoparticles have drawn great attention due to their unique chemical and physical properties, which make them applicable for use in photocatalysis and gas sensing (Bittencourt et al., 2006; Guo et al., 2012; Chen et al., 2013). Among the existing metal oxides, tungsten oxide (WO₃) as an n-type semiconductor of a band gap of 2.5–2.8 eV owns important applications in numerous fields (Zeng et al., 2012; Gui et al., 2015; Behera and Chandra, 2018). WO₃-based nanomaterials with various morphologies have been widely investigated for chemical gas sensors (Chu et al., 2017; Kaur et al., 2018; Gao et al., 2019) such as for detecting NH₃, H₂, and ethanol (Tsai et al., 2017; Chen et al., 2018; Morsy et al., 2018, 2019). Besides, it has attracted a lot of interest in photocatalysis theme because of its strong adsorption, manipulated energy band gap and visible light absorption (Zhang et al., 2017). However, the application of WO₃ as gas sensors is reduced by the bad selectivity, long response time, low sensitivity and high resistivity (Urasinska-Wojcik et al., 2016). Generally, nanocrystalline semiconductors have poor charge mobility and thus produce very limited photocurrent. This regards as one of the biggest obstacle that hinder the usage of WO₃ as practical photocatalysts. Thus, many attempts have been made to improve the behavior of WO₃ such as morphology control, surface hybridization and forming hybrid composites (Li et al., 2015; Galstyan et al., 2016; Shendage et al., 2017). Improved photocatalytic activities and gas sensing performances have been demonstrated for WO₃-graphene composite. Recently, graphene-based composites have received considerable attention due to their potential applications in many useful fields including photocatalysis (Zhang et al., 2015; Luna et al., 2018) and gas sensors (Behera and Chandra, 2018). The enhanced performance was based on the composite high conductivity, large surface area and the P-type conductivity created due to adsorbed oxygen molecules localized on graphene structure. With attaching an n-type semiconductor, it might be feasible to boost the reaction activity based on the facile charge transfer via the p-n junction interface. Expectedly, graphene not only can facilitate the nucleation and growth of the nanocrystals but also help achieving its stability and size beside it can orientate the oxide crystal growth (Zhang et al., 2015; Quan et al., 2017).

For the purpose of optimizing WO₃ nanoparticles for improving ammonia gas sensing and MB photocatalytic degradation, the surface hybridization of WO₃ with a small loading of GO was carried out. Thus, GO at 1 wt% loading was successfully dispersed in the matrix of WO₃ hexagonal structure as synthesized by the in-situ deposition hydrothermal technique. The 1%GO.WO₃ and WO₃ free GO catalysts were well-characterized using various techniques including XRD, TEM-SAED, UV-Vis, PL, FTIR, Raman, XPS, and N₂ sorptiometry. The catalysts were then tested as visible light photocatalysts toward methylene blue (MB) degradation and as gas sensors for NH₃ gas.

Experimental

Materials and Methods

Sodium tungstate dihydrate (Nice Chemicals, India), hydrochloric acid (Fisher Scientific, UK), oxalic acid (Adwic, Egypt), potassium permanganate, and sulfuric acid (Sigma-Aldrich, Germany), sodium nitrite (BDH Prolabo chemicals, USA), graphite (Merck, Germany), hydrogen peroxide (GFS Chemicals, USA), and methylene blue dye (S.D. Fine-Chem Limited, India) were used as obtained.

Synthesis of WO₃ Nanorods

Sodium tungstate (6.6 g, 0.2 mol) was dissolved in 100 ml distilled water and then acidified with HCl till pH 1, to form an immediate white precipitate. This precipitate was dissolved in 30 ml distilled water containing 0.4 g oxalic acid to obtain clear and transparent solution. The final solution was transferred to 40 ml Teflon stainless steel autoclave and maintained at 180°C for 26 h. After reaction, the product was washed several times with distilled water and ethanol to remove any unreacted residuals and finally dried at 100°C for 1 h.

Synthesis of Graphene Oxide-Loaded Tungsten Oxide Nanorods

A typical synthesis procedure of GO loaded onto WO₃ nanorods with a GO loading of 1% by weight was as follows. A definite amount of GO was dissolved in 50 ml distilled water to form a pasty brownish color solution. To this solution, a proper sodium tungstate (6.6 g, 0.2 mol) solution was slowly added and the pH of the mixture was adjusted to 1 by addition of aqueous HCl. Then, 0.4 g of oxalic acid dissolved in 30 ml water was added and stirred continuously at room temperature for 3 h. The latter mixture was transferred into a 250 ml Teflon stainless steel autoclave and maintained at 180°C for 26 h to get the final product. This catalyst is denoted as 1%GO.WO₃.

Physical Methods and Analysis

The powder X-ray diffraction (XRD) patterns were recorded, on Ni-filtered copper radiation (λ = 1.5404 Å) at 45 kV and 40 mA with a scanning speed of 2θ = 2.5°/min, on a Bruker diffractometer, type D8 ADVANCE (Germany). The TEM micrographs were measured with a FEI Tecnai G20 Super-Twin microscope (USA), at an accelerating voltage of 200 kV. The powder samples were put on carbon foils with a microgrid and the TEM images were measured with minimum electron irradiation to prevent the samples damage, together with the selected area electron diffraction patterns. Fourier transform infrared (FT-IR) spectra were recorded via a single beam Perkin-Elmer Spectrometer (RXI, USA) with a resolution of 2 cm⁻¹ in the region 4,000–400 cm⁻¹. Raman spectra were obtained with a Bruker Senterra Raman spectrometer (Germany), using the 532 nm line as the excitation beam. The incident laser power and resolution were 5 mW and 2 cm⁻¹, respectively. The surface properties namely BET surface area, total pore volume (V_p) and mean pore radius (r⁻) were determined from the nitrogen adsorption isotherms measured at −196°C using a Nova 3200 porosimeter, USA. The solid samples were out-gassed at 473 K for 2 h under a reduced pressure of 10⁻⁴ Torr before starting the measurements. Diffuse Reflectance UV–Vis spectra (UV–Vis DRS) were recorded using a UV–Vis JASCO spectrophotometer (V-570, Japan) in the range of 200–1,000 nm. The edge energy (E_g) was determined by finding the intercept of the straight line in the low-energy rise of the plot of [F(R_∞)hν]², for the direct allowed transition vs. hν, where hν is the incident photon energy. The photoluminescence (PL) excitation and emission spectra were measured on a FL/FS 900 time resolved fluorescence spectrometer. The measurements were conducted at room temperature using a He-Cd laser (310 nm), as an excitation source. X-ray photoelectron spectroscopy (XPS) equipped with an Al-Kα x-ray source at energy of 1486.6 eV was utilized to distinguish the surface chemical composition of the catalysts. Electrochemical measurements were determined using Digi-Ivy 2116 B, USA, in 6.0 M KOH aqueous solution for determining either N_D or N_A concentration using the Mott-schottky plot. More details information about the measurement conditions can be found elsewhere (Mohamed et al., 2017).

Photocatalytic Degradation Experiments

The photocatalyst (100 mg) was suspended in 100 mL aqueous solution containing 20 mg L⁻¹ methylene blue (MB). For each experiment, the suspension was stirred in dark for 60 min to establish the adsorption–desorption equilibrium between the MB and the catalyst, followed by irradiation with a high-pressure Philips lamp of 160 W with an average light intensity of 60 mWcm⁻², emitting only visible light (400–700 nm) via using a cut-off filter. Three ml aliquot containing dye and catalyst powder was taken out followed by centrifuging at 3,000 rpm for 5 min. After the catalyst separation, the change in MB concentration was determined through the absorbance variation at the wavelength of 664 nm. The absorption spectra of the aqueous solution of the MB after adsorption and degradation were measured using a Shimadzu UV-2350 spectrophotometer, Japan. The reactive species were also determined to stand on the degradation mechanism via employing various scavengers.

Sensor Fabrication and Evaluation

Fluorinated tin oxide (FTO) glass substrate has been used for sensors fabrication. In a typical procedure, 1 mm gap was created on the conductive FTO substrate using an electric arc followed by washing/cleaning processes via soaking in a soap solution for 10 min, flowed by distilled water and acetone. Finally, the FTO substrate was dried under N₂ flux. The electrical contacts were established via attaching two copper foils with conductive adhesive onto the FTO substrate. A proper amount of the GO.WO₃ composite was mixed with deionized water in a mortar forming a paste. The paste was then applied onto the FTO substrate and annealed at 80°C for 4 h. The sensor was aged at 5 V for 36 h to enhance its stability. Following stabilization of the sensor resistance, a known concentration of ammonia gas was generated by injection into a fixed volume chamber supplied with heater. The ammonia gas concentration in ppm was calculated using the following equation: Vi = C.V.MW/22.45 D, Where MW is the molecular weight of ammonia, D is the density of ammonia, V is the chamber volume, C is the concentration of ammonia in ppm, and Vi is the injected volume of ammonia. The real time resistance variation was recorded every 3 s by a digital precision pico-ammeter type keithley-6487 interfaced to a computer. The response of the sensor (R_a- R_g/R_g) ^* 100 was defined as the ratio of the resistances of the sensor in air (R_a) to that in ammonia (R_g). The response time was defined as the time taken by the sensor to achieve 90% of the total resistance changes.

Results and Discussion

X-Ray Diffractometry (XRD)

Figure 1 illustrates the XRD patterns of the WO₃ nanorods, graphene oxide (GO) and WO₃ nanorods doped with 1% GO. As for GO, an intense reflection related to GO appears at 2θ = 10.64° diffracted from the (002) plane. By applying Bragg's law, the calculated interlayer spacing of GO is 0.83 nm, providing an expansion than graphite analog depicted at 0.34 nm. This is interpreted in terms of elongation of the c-axis during graphite oxidation to GO via creation of oxygen-containing functional groups. The pure WO₃ sample is well-crystallized in a single phase with exposing diffraction peaks at 2θ equal 24.68°, 28.17°, 36.52°, 49.85°, and 55.43°, indexed to hexagonal WO₃ (JCPDS 85-2459). The average crystallite size of WO₃ determined via Scherer's equation is 20 nm. All reflections due to the 1%GO.WO₃ pattern are associated with a single phase hexagonal WO₃. This sample exhibits more intense reflections when compared with the GO free WO₃ sample, endorsing an average crystallite size of 25 nm. Besides, the peak of GO disappears in the 1%GO.WO₃ pattern, which is likely due to the thimbleful of GO in the composite. However, the revealed broadness in the latter pattern for the peak at 24.68°, along with the expansion in d values is indicative of the dispersion of GO into the WO₃ hexagonal structure.

FIGURE 1

Figure 1. XRD patterns of GO, WO₃, 1%GO.WO₃ catalysts.

High-Resolution Transmission Electron Microscopy (HRTEM)

Particle morphology, crystallinity and selected area electron diffraction (SAED) analyses of the synthesized samples are studied by means of HRTEM (Figure 2). The HRTEM image of WO₃ shows that it owns nanorods shape with an average diameter of 4.11 nm. The magnified HRTEM image in the inset of the WO₃ Figure shows good crystallinity and spacing's of well-resolved lattice fringes at ~0.35 nm, coincidently matching the (110) diffraction plane of WO₃ (JCPDS 85-2459). On the other hand, the SAED pattern of this sample shows a distorted hexagon with d = 0.24 nm corresponding to the (201) plane of WO₃ nanorods. The HRTEM image of the 1%GO.WO₃ composite shows clear nanorods with an average diameter of 17.6 nm and lattice spacing's equal 0.16 nm due to the (221) plane. This plane is not apparent in pure WO₃ nanorods. The SAED pattern in the inset of the latter Figure shows six-fold symmetry diffraction bright spots appears as well-defined diffraction hexagonal form, unlike that of pure WO₃ nanorods, emphasizing the interaction of GO with WO₃.

FIGURE 2

Figure 2. TEM, HREM, and SAED (inset) images of GO inset in (a) WO3 (a) 1%GO.WO3 (b) catalysts.

FTIR Spectra

The interaction between WO₃ and GO is confirmed by the FTIR spectroscopy as exemplified in Figure 3A. The FTIR spectrum of GO exhibits a broad band with a maximum at 3,424 cm⁻¹ corresponding to the OH stretching vibration (ν_OH). The substantial OH band broadening is a result of the strong hydrogen bonding interaction of hydroxyl containing groups, while the small band at 1,719 cm⁻¹ is due to the C=O stretching vibration from the residual COOH groups on the GO surfaces. The sp² carbon network revealed from the band at 1,623 cm⁻¹ is assigned to the C=C skeletal asymmetric vibration of unoxidized graphitic domains (Poongodi et al., 2017). The bands at 1,423 and 1,054 cm⁻¹ correspond to the stretching vibrations of the C-OH and C-O groups, respectively (Shendage et al., 2017). For WO₃ nanorods, the small broad band observed at 3,417 cm⁻¹ corresponds to the OH stretching, and the strong bands at 808 and 639 cm⁻¹ to the stretching vibration of O-W_b-O and O-W_c-O links in the WO₃ structure, respectively (Han et al., 2018). The peak related to the W=O stretching vibration, proposed for dangling oxygen bonds, is obscured by the strong absorption of the former peak. The 1%GO.WO₃ composite shows a band at 3,436 cm⁻¹ ascribed to the OH stretching vibration. By comparing with that of GO, this band becomes stronger, narrower and shifts to a higher frequency in the spectrum of 1%GO.WO₃ composite, i.e., from 3,424 to 3,436 cm⁻¹. This reflects the interspersion of GO matrix within the WO₃ structure (Zhang et al., 2010). In addition, the carbonyl C=O band at 1,719 cm⁻¹ is disappeared in the spectrum of 1%GO.WO₃. This result implies that the carboxylic functional groups of GO are involved in the GO.WO₃ interactions (Saidi et al., 2018). The peaks due to O–W–O stretching vibrations are decreased in intensity and red shifted to 707 and 611 cm⁻¹, inferring the GO dispersion into the WO₃ hexagonal structure (Saidi et al., 2018). A small band at 877 cm⁻¹ characteristics of the stretching W=O vibration is noticed, which never seen in the GO free WO₃ (Saidi et al., 2018). This indeed confirms the strong interaction between the two-component forming composite in which GO contributes in the formation of W=O bonds. The GO doping is rather confirmed from the presence of peaks assignable to C=C and C-OH stretching vibrations at 1,604 and 1,434 cm⁻¹, respectively. In this case, it is observed that the shift of bands at 1,604 and 1,434 cm⁻¹ in 1%GO.WO₃ toward higher and lower values when compared with those for individual GO (1,623 and 1,423 cm⁻¹), respectively, reflects the strong interaction between the components forming the composite. In addition, there is almost no change in the peak at 1,052 cm⁻¹ both in GO and 1%GO.WO₃ confirming that C-O groups did not take part in the reaction between GO and WO₃, unlike COOH and C-OH functional groups.

FIGURE 3

Figure 3. FTIR spectra (A) and Raman spectra (B) of GO, WO₃, 1%GO.WO₃ catalysts.

Raman Spectra

Figure 3B shows the Raman spectra of GO, WO₃ nanorods and 1%GO.WO₃. The GO spectrum exhibits two intense bands at 1,346 and 1,559 cm⁻¹; the former D-band represents the disordering sp²-hybridized C atoms of GO, while the latter G-band corresponds to the structural integrity of the sp²-hybridized C atoms of GO (Zeng et al., 2012). The Raman spectrum of pure WO₃ nanorods is characterized by two bands at 799 and 684 cm⁻¹ assigned to the W-O-W stretching vibrations, which according to previous reports signified to the distances of the W-O bonds in pure WO₃ (Gao et al., 2019). The shoulder near 920 cm⁻¹ is assigned to the stretching frequency of the terminal W=O on the nanostructural boundaries of WO₃ (Kaur et al., 2018), whereas Raman frequencies at 326 and 267 cm⁻¹ are most likely due to the O-W-O deformation modes. The Raman spectrum of 1%GO.WO₃ is only dominated by the W-O-W stretching modes at 799 and 684 cm⁻¹ (Figure 3B), and their relevant deformation ones occurred at 326 and 244 cm⁻¹. It is observed that the molecular structure of GO (D- and G-bands) is vanished after inclusion of GO onto the WO₃ nanorods. This agrees with the low content of GO (1 %) in the sample. The Raman peaks of 1%GO.WO₃ at 940 and 811 cm⁻¹ are weakened and rather shifted to higher frequencies as compared to 920 and 799 cm⁻¹ for WO₃, advocating strong interaction between WO₃ and GO matrix. Similarly, developing of two peaks at 244 and 326 cm⁻¹ in 1%GO.WO₃ contrary to only one peak at 267 cm⁻¹ in WO₃, features a distortion in the nanostructured WO₃ (shortening O-W-O bonds) revealing its strong bonding with GO, as typically confirmed from the XRD analysis of 1%GO.WO₃.

N₂ Sorptiometry

Figure 4 shows the adsorption-desorption isotherms and pore size distribution curves (inset) of all the samples. The WO₃ nanorods isotherm fits type IV of mesoporous materials, in agreement with the IUPAC assembling. The adsorption-desorption coincides at P/P_o of 0.5, revealing the existence of wide pores with H4 type. Where in 1%GO.WO₃ the adsorption-desorption isotherm coincides at P/P_o of 0.46 indicating narrowing of the pores as a result of GO incorporation within the WO₃ pores. In concordance, the pore radius of WO₃ nanorods indicates a value of 6.5 nm where it becomes narrower for 1%GO.WO₃ at 3.9 nm. The pore size distribution (PSD) of WO₃ nanorods in the inset of Figure 4 manifests a monomodal type of pore maximized at 7.5 Å that extends to 20 Å. Contrarily, the 1%GO.WO₃ indicates PSD at 4.0 Å, proposing the evolution of more narrow pores, to comprehend the role of GO in narrowing the pore mouth of the WO₃ hexagonal array. The surface area of WO₃ nanorods (54.3 m²/g) exceeds that of the 1%GO.WO₃ composite (14.2 m²/g); a concurrent trend involving a lager pore volume for the former (0.084 cm³/g) than for the latter (0.024 cm³/g). This result emphasizes the inclusion of GO precursor into the WO₃ nanorods.

FIGURE 4

Figure 4. Adsorption-desorption isotherms and pore size distribution curves (in-set) of GO, WO₃, 1%GO.WO₃ catalysts.

Optical Characteristics

Figures 5A,B present the PL emission spectra of WO₃ NRs and 1%GO.WO₃ excited at 320 nm at different wavelengths margin. A clear main broad emission peak at 447 nm is observed in the PL spectra of both samples. Based on previous investigations in literature (Jung et al., 2010; Chu et al., 2017), this peak may originate from the presence of oxygen vacancies or defects in WO₃ NRs. The decrease in PL emission intensity at 447 nm for 1%GO.WO₃ compared to that for WO₃ NPs (Figure 5B) is likely a consequence of an electron transfer from the WO₃ conduction band to GO networks. Such quenching of PL emission of 1%GO.WO₃ discloses that GO could acts as an electron transfer channel in the GO-encompassed semiconductor materials, as indicated in previous studies (Min et al., 2012; Dong et al., 2014). GO can thus virtually lower the rate of the electron-hole recombination, leading to maximizing charge separations and conserving more reactive species for high photocatalytic activity. Another emission peak at 560 nm is seen in Figure 5B for both samples however, the peak of 1%GO.WO₃ was of lower intensity reflecting the decrease in the electron-hole recombination.

FIGURE 5

Figure 5. Photoluminescence (PL) emission spectra of WO₃ and 1%GO.WO₃ in the margin of 400–550 nm (A), WO₃ and 1%GO.WO₃ in the margin of 300–800 nm all excited at 320 nm (B), beside UV-visible spectra (C), and gap energy plots (D) of the GO (inset), WO₃, 1%GO.WO₃ catalysts.

Figure 5C shows the UV–Vis absorption spectra of WO₃ NRs and 1%GO.WO₃ (inset) in comparison with GO spectrum. The latter spectrum indicates bands at 250, 280 and 320 nm comprehending the presence of π-π^* and n-π^*(C=O), respectively. This indeed indicates the presence of both graphene and graphene oxide structures. The WO₃ NRs, and 1%GO.WO₃ samples exhibit wide absorption bands at 304 and 330 nm, respectively. Meanwhile, the latter reveals an absorption edge at 430 nm, which is lower in energy than the relevant of 1%GO.WO₃ at 480 nm. This could give an indication of decreasing the oxygen deficiencies on WO₃ NRs as consequence of GO incorporation. Besides, the 1%GO.WO₃ catalyst displays absorption in the visible region from 400 to 700 nm stronger than that of free WO₃, signifying the presence of W-O-C linkages in the composite. This manifests the expected photocatalytic capability of 1%GO.WO₃ under visible light irradiation. The band gaps of the catalysts calculated from the absorption spectra using the Tauc draw (Figure 5D) are 2.49, 2.8, and 0.55 eV for 1%GO.WO₃, WO₃ NRs, and GO, respectively. Indeed, the incorporation of GO might led to the decrease in the bond length of W=O and/or O-W-O, possibly due to the strong interaction between WO₃ and GO and via elaborating bonds such as C-O-W and C-W.

XPS Study

XPS, illustrated in Figure 6, is used to have an idea about WO₃ chemical composition as well as tracing the changes in WO₃ chemical states following GO incorporation. XPS survey scan (not shown) verifies the presence of W, C and O elements in both pure WO₃ nanorods and 1%GO.WO₃ samples. The core-level W4f XPS of WO₃ nanorods (Figure 6A) shows the presence of strong two peaks at 35.92 and 38.09 eV together with their satellite band at 41.88 eV due to the spin-orbit split levels of W(4f7/2) and W(4f5/2), respectively. The spectral deconvolution indicates two subpeaks at 35.4 and 37.3 eV due to W⁵⁺ state. The high-resolution W4f spectrum of 1%GO.WO₃ (Figure 6B) shows two well-defined feature peaks located at 36.6 and 38.8 eV to fit W4f7/2 and W4f5/2, consistent with W⁶⁺ state in the form of WO₃ together with a loss feature at 42.6 eV of W(4f3/2) (Naseri et al., 2011). The latter confirms the successful incorporation of GO into WO₃ structure, manifested by the exhibited shift of all W4f peaks into higher binding energies. Also, this shift indicates that the low valence W⁵⁺ state seen in WO₃ nanorods is no longer detectable in 1%GO.WO₃ featuring the absence of substoichiometric WO_3−x following the GO incorporation.

FIGURE 6

Figure 6. W 4f XPS spectra of WO₃ (A) and 1%GO.WO₃ (B), beside the C1S of 1%GO.WO₃ (C), and O1S of WO₃ (D) and 1% GO.WO₃ (E) catalysts.

The high-resolution C 1 s spectrum (Figure 6C) of 1%GO.WO₃ owns a strong peak of C=C species positioned at 285.2 eV. This spectrum is also divided into three bands at 285.84, 286.45, and 287.69 eV attributed to C-C, C-O, and C=O groups, respectively. The surface atomic percentages show that C=C represents the highest ratio (62.2%) reflecting a reduction in the oxygen content of GO in 1%GO.WO₃. The latter deduction is justified by ratios of C=O (29.46%), C-C (3.93%) and C-O (4.39%). This result verifies the successful formation of a hybridized structure of GO.WO₃.

The normalized XPS O 1 s spectrum shown in Figure 6D of WO₃ NRs shows one peak at BE of 530.73 eV, assigned to the ${\text{O}}_2^{-}$1s ion (lattice oxygen). The XPS spectrum of the O 1 s of 1%GO.WO₃ (Figure 6E) is splitted into two component peaks localized at 531.51 and 531. 15 eV ascribed, respectively, to O1s O-C and ${\text{O}}_2^{-}$ states, which represent a total surface oxygen moiety of 53.89 vs. 100% at the surfaces of WO₃ NRs. This indeed advocates the GO involvement in the WO₃ structure. Conclusively, the majority of GO is reduced to graphene (62.2%) with exposing residual oxides correlated to C=O (29.46%) and C-O (4.39%) moieties on GO amounted to the promotion of P-type conducting nature. This is capable of forming conducting transition when amalgamated with WO₃ (n-type) to boost the charge transfer via the p-n junction interface and thus the reaction activity.

Photocatalytic Degradation of MB

The photocatalytic activities of WO₃ NRs and 1%GO.WO₃ toward the degradation of methylene blue dye (MB; 20 ppm) under visible light illumination are shown in Figure 7A. Prior irradiation, the suspension formed between the catalyst and the dye is stirred in dark for 1 h to ensure diffusion from the bulk of dye to the interfacial zone and to accomplish adsorption-desorption equilibrium between them. The MB adsorption ability of 1%GO.WO₃ increases over 17% above WO₃ NRs, elaborating that GO-doping of WO₃ with small amount as 1% does not effectively improve the electrostatic attraction between MB and the catalyst. The result in Figure 7A shows an enhanced degradation of the MB dye over 1%WO₃.GO under visible light irradiation through a complete degradation (100%) in 180 min at a rate constant of 0.0154 min⁻¹; as shown in Figure 7B, in front of 34% degradation with a rate of 0.001 min⁻¹ for WO₃ NRs. Figure 7C shows the UV-vis spectra of the MB photodegradation over 1%GO.WO₃ as a function of elapsed time elucidating the consequences of the MB degradation. These results indicate that the marked increase in activity of the 1%GO.WO₃ catalyst is explained by the slight increase in the visible light absorption beside lowering both the band gap and the PL intensity; reflecting the slow recombination between electrons and holes. Also, the high dispersity of GO in WO₃ NRs; as emphasized by the FTIR, Raman and XPS data, evokes the involvement of carbons via hindering the recombination rate of photo-generated electron-hole pairs within the WO₃ hexagonal structure, facilitating the electron transition. Performing the MB degradation over WO₃ incorporated higher GO weight percentages (such as 5 and 10%) indicates adsorption behavior rather than photocatalysis trend (not shown). That is why we were only restricted to the 1%GO ratio. Executing the MB degradation (20 ppm) over 1%GO.WO₃ in presence of various scavengers under visible light illumination (Figure 7D) results in a significant decrease in the rate constant, compared to 0.0124 min⁻¹; evaluated in the absence of any scavenger. From Figure 7D, the maximum decease in the rate constant is for that depicted for the CCl₄ scavenger (0.0008 min⁻¹), implying that electrons are the most reactive species affecting the MB degradation, followed by triethanolamine (0.0029 min⁻¹) and isopropanol (0.0053 min⁻¹), configuring in sequence the importance of holes and •OH after electrons. Figure 7E depicts the UV-Vis spectra of the MB dye as a function of time in the presence of the 1%GO.WO₃ photocatalyst. A magnificent decrease after 180 min is well-illustrated. Interestingly, the enhanced photocatalytic activity for photodegradation of MB is acquired over WO₃ modified low conc. of GO (1%) of eco-friendly synthesis conditions. To identify the extent of MB mineralization, Figure 7F shows the reduction in TOC in comparison to the dye degradation curve. Apparently, the TOC curve decreases significantly to 77% in 180 min confirming the presence of none degradable products and rather affirming the high mineralization capability of the catalyst.

FIGURE 7

Figure 7. A_t/A_o plot of the MB (20 ppm) degradation over WO₃ and 1%GO.WO₃ catalysts at the dose of 1.0 g/l under visible light illumination (160 W, λ > 420) (A) and their kinetic curves of ln A_o/A_t vs. time (B) Effect of scavengers on the catalytic degradation of MB over 1%GO.WO₃ with time (C) and their kinetic curves with time (D) beside UV-Vis. absorbance spectra of the MB over 1wt% GO.WO₃ with time (E), Decrease in TOC and change in absorbance as function of irradiation time for the MB dye (F), the expected reaction mechanism of the MB degradation over 1%GO.WO₃ (G) and Mott–Schottky plots of WO₃ and GO (H).

The above mentioned results suggest that electrons, holes and •OH are the main reactive species in the process of MB photodegradation over the 1%GO.WO₃ catalyst. This is not mean the insignificant effect of holes but it works as an indirect way as elaborated in the mechanism to deliver •OH. Based on the above outcomes, a suggested mechanism for the photocatalytic reaction is depicted as in the scheme shown in Figure 7G. Under visible light irradiation, the valence band (VB) electrons are excited to the conduction band (CB) of the WO₃ semiconductor, creating holes (h⁺) in the VB. The conduction band (CB) edge and valence band (VB) edge can be calculated by the following equations (Sadakane et al., 2010):

$\begin{array}{ll}EVB=X-E^e+1/2Eg& (1)\end{array}$

$\begin{array}{ll}ECB=EVB-Eg& (2)\end{array}$

Where EVB and ECB are the valence band and conduction band edge potentials respectively where χ is the geometric mean of electronegativity of the constituent atoms semiconductor. The values of χ for GO.WO₃ and WO₃ are calculated as 6.39 eV and 6.59 eV according to the literature (Pearson, 1988). E^e is the energy of free electrons vs. hydrogen (4.5 eV) scale and Eg is the band gap energy of the semiconductor. A Mott-Schottky analysis is constructed to examine the carrier density and flat band potential for both WO₃ and GO. The E_fb is estimated by extrapolating each Mott–Schottky plot to the x-axis to obtain the intercept value and the N_d is estimated by the slope following Equations 3 and 4 (Mohamed et al., 2018a,b);

$\begin{array}{ll}1/C^2=\left[2/({e\epsilon {\epsilon }_{0}N}_{\text{d}})\right](E-E_{\text{fb}}-\kappa T/e)& (3)\end{array}$

$\begin{array}{ll}{N}_{\text{d}}=2/(e\epsilon {\epsilon }_0){\left[d(1/C^2)/d(E)\right]}^{-1}& (4)\end{array}$

Where C is the capacitance of the space charge layer, N_d is the number of donors, e (1.602 × 10⁻¹⁹ C) is the electron charge, ε (20 for WO₃) is the dielectric constant, and ε₀ (8.85 × 10⁻¹⁴ F cm⁻¹) is the vacuum permittivity, and κ (1.38 × 10⁻²³ J K⁻¹) is the Boltzmann constant. First, the positive slopes indicate the n-type nature of the WO₃ samples (Figure 7H). Moreover, the calculated N_d is 1.30 × 10²⁰ cm⁻³, thus enormously promoting the charge transport efficiency. In the meantime, the flat band potential equal −0.34 V. The flat band potential of GO is measured at 0.57 V. Assuming that majority of the depletion width is located in GO film, the depletion width in the 1%GO.WO₃ interface is estimated according to following equation:

$\begin{array}{ll}{V}_{bi}(p)=q{N}_{\text{A}}{x}_p^2/2\epsilon \text{GO}& (5)\end{array}$

Where N_A, ε and εGO are acceptor concentration and absolute permittivities of WO₃ and GO respectively. Of particular interest, GO shows a negative slope corresponding to p-type conductivity manifesting the presence of high oxygen vacant defects with carrier concentration (N_A-holes) of 1.6 × 10¹⁸ cm⁻³. Apparently, GO shows a positive shift of the flat-band potential as compared to the WO₃ electrode and rather indicates a lower concentration as compared to the N donor.

The band potential alignment of the as prepared GO.WO₃ vs. NHE shown in Figure 7G illustrates higher activity since its CB edge potential is more active than that of WO₃ indicating that photogenerated electrons from GO.WO₃ are easily transferrable than that of WO₃ via the former formed interface. Alike, the VB edge potential of GO.WO₃ is less positive than WO₃, specifying that the lower potential of the former facilitates its holes energetics. Accordingly, sticking a large number of electrons in the conduction band of GO.WO₃ as well as holes in its valence band increases the life time of e⁻-h⁺ and slow down their recombination to markedly enhance the photocatalytic performance of GO.WO₃. The electrons may transport into the carbons of GO rather than recombined with the holes in the prevented band. The rest of the electrons on the WO₃ nanorods surface can react to form reactive oxygen moieties (·${\text{O}}_2^{-}$); of reduced lifetime, which react accordingly with 2H⁺ to form •OH. The latter reactive species can also be formed from the reaction of holes with the OH⁻/H₂O species, to degrade the MB dye more efficiently (Zhang and Yi-Jun, 2016). The two-electron reduction of O₂ to form H₂O₂; as a common role of RGO-constructed composite photocatalysts (Weng et al., 2014), is augmented on the 1%GO.WO₃ surface. Here, the presence of H₂O₂ is determined via using the Ghormley triiodide method (Björkbacka et al., 2015), by which an electron acceptor is donated to form ·OH species. Based on the difference in work function of the GO in favors of that of WO₃ an electron transfer into the latter from the former is expected, and thus increases the electron density. Rendering the n-type conductivity to WO₃ surface in front of the p-type of the residual oxygen in GO facilitates the n–p semiconducting boundary interface that causes an enhanced photocatalysis. Accordingly, the electron transfer is found to be efficient in 1%GO.WO₃ rather than in GO free WO₃ catalyst. The latter showed high recombination rates of charge carriers of revealed insignificant lifetime, leading to a lower photocatalytic performance. Apparently, our catalyst shows higher photocatalytic efficiency compared with some WO₃-based graphene composites toward the degradation of the MB dye (Fan et al., 2012; Azimirad and Safa, 2015; Sun et al., 2015; Dinari et al., 2016; Liu et al., 2017). As revealed, their photocatalytic efficiencies are found to be in the range 65–95% within 56–180 min as well as with lower rates than ours.

Gas Sensing Behavior

The I-V characteristic curves of bare WO₃ NRs and 1%GO.WO₃ catalysts shown in Figure 8A indicate an Ohmic contact to ensure the sensing performance of the composite itself and not due to the contact between the composite and the electrode (Morsy et al., 2018). It is obvious that the electrical conductivity of the 1%GO.WO₃ catalyst is much higher than that of bare WO₃ NRs. Generally, metal oxides exhibit very poor electrical conductivity, and many strategies are devoted to overcome such poor conductivity. In order to investigate the gas-sensing effect of WO₃ NRs, and 1%GO.WO₃, these materials are subjected to different ammonia concentrations (10-100 ppm) at 200°C and the relationship between the sensor's response/recovery and ammonia gas is summarized in Figures 8B,C. The WO₃ NRs sensor shows no response at room temperature, while 1%GO.WO₃ shows a moderate sensitivity at room temperature (not shown). For comparison, the response/recovery of WO₃ NRs and 1%GO.WO₃ sensors toward ammonia gas evaluated at 200°C is performed as similarly depicted in some literatures (Bittencourt et al., 2006; Guo et al., 2012; Zeng et al., 2012; Chen et al., 2013; Gui et al., 2015; Zhang et al., 2017). The sensitivity of 1%GO.WO₃ to ammonia gas is estimated to be 2, 2.6, 5.1, 7.9, and 17.6 at 10, 20, 50, 70, and 100 ppm, respectively. For GO free WO₃, the sensitivity was 0.2, 0.4, 0.89, 1.02, and 1.27 at 10, 20, 50, 70, and 100 ppm, respectively. Therefore, the sensitivity to ammonia processed preferentially on 1%GO.WO₃ is ~14 times higher than that on WO₃ NRs sensor. This could be due to the conductivity enhancement as a result of the strong interaction exhibited between partially reduced GO and WO₃ NRs, which is in accordant with the analysis data of TEM, XPS and Raman. It is also observed that the response increase with increasing ammonia concentration. The sensors response curves show that the resistance of sensors recovers its initial value after ammonia gas interruption, indicating a good reversibility. As a general trend for both sensors, the sensors interact directly with ammonia gas, which may lead to the reduction in the electrical resistivity. Rendering the n–p conductivity enhances the sensing response. Apparently, the numbers of oxygen vacancies formed on the WO₃ surfaces provide many active sites for the gas sensing reactions. In addition, the formed heterojunction is effectively accelerated the electron transfer and helps reducing the activation energy and enthalpy of the adsorbed gas molecules and thus enhances the sensing response; as shown in Figure 8D. The formed hetero-junction also accelerates the sensing response with the target gas that passes through the interface leading to electronic sensitization via modulation of depletion layers at the heterojunction area.

FIGURE 8

Figure 8. I-V characteristic curves of WO₃ and 1%GO.WO₃ catalysts (A), and their response transient to different ammonia concentration (10–100 ppm) at 200^oC (B) response Vs. NH₃ concentration for WO₃ and 1 % GO.WO₃ (C) beside the mechanism of NH₃ gas sensing on the 1%GO.WO₃ catalyst (D).

The principal of semiconductor metal oxide gas sensors depends on the material change in electrical resistance due to the interaction between the target gas and the material. When the sensor subjected to air, the oxygen molecules adsorbed on the conduction band of WO₃ get ionized to oxygen ions such as ${\text{O}}_2^{-}$, O⁻, and O²⁻ through capturing free electrons from the surface of the WO₃ and result in an electron depletion layer at the WO₃ surface.

The chemical reaction can be composed as follows;

$\begin{array}{ll}{\text{O}}_{2(\text{ads})}+{\text{e}}^{-}\Rightarrow {\text{O}}_2^{-}& (6)\end{array}$

$\begin{array}{ll}{\text{O}}_{2(\text{ads})}+2{\text{e}}^{-}\Rightarrow {\text{O}}^{-}& (7)\end{array}$

$\begin{array}{ll}{\text{O}}_{2(\text{ads})}+4{\text{e}}^{-}\Rightarrow {\text{O}}^{2-}& (8)\end{array}$

These forms of the absorbed oxygen species are function in the operating temperature. The first form, as evidenced by XPS and represents major species, (${\text{O}}_{2,}^{-}$ Equation 1) onsets at room temperature and rests at ~100°C. The second form (O⁻, Equation 2) is acquired in the temperature range of 100–225°C. The third form of adsorbed oxygen species (O²⁻, Equation 3) is excited between 225 and 400°C (Chen et al., 2018). This may explain why the optimum working condition for WO₃ is approximately around 200°C. During ammonia (reducing gas) exposure, the pre-adsorbed oxygen ions release electrons to the WO₃ surface, causing a decrease in the depletion layer, thereby decreases the electrical resistance (Urasinska-Wojcik et al., 2016).

$\begin{array}{ll}2\text{N}{\text{H}}_3+3{\text{O}}^{-}(\text{ads})\to {\text{N}}_2+3{\text{H}}_2\text{O}+3{\text{e}}^{-}& (9)\end{array}$

When 1%GO.WO₃ sensor is exposed to NH₃ atmosphere, the electron transfer occurs through the formed 1%GO.WO₃ interface (Figure 8D), whereby both of which can provide effective adsorption sites. Rendering the n-type conductivity to WO₃ surface in front of the p-type of the residual oxygen in GO facilitates the n-p sensing for enhancing the response. GO acts as a catalytic promoter favoring surface reactions between ammonia gas and the adsorbed oxygen species on the sensor surface. Our results exhibited higher response toward ammonia gas sensing (see Table 1) in a relatively shorter time when compared with some various structural WO₃ catalysts, GO.WO₃ composites and when WO₃ forms heterojunction with other oxides (Wang et al., 2006; Hieu et al., 2011, 2012; Toan et al., 2017; Behera and Chandra, 2018; Prabhu et al., 2018).

TABLE 1

Table 1. Comparison of ammonia gas sensing on some WO₃ based catalysts.

Conclusion

The highly dispersed 1% GO in WO₃ hexagonal array heterojunction is successfully synthesized using a template free deposition-hydrothermal route for photocatalytic remediation of the MB (20 ppm) dye and for NH₃ gas sensing (10–100 ppm). The characterization results conducted using various physicochemical techniques show that the high dispersity of GO onto WO₃ nanorods surface causes an increase in the observed visible light absorptivity for the 1%GO.WO₃ composite and consequently decreases both energy band gap and PL intensity. The latter two factors are chiefly responsible for enhancing the MB degradation under visible illumination (in 180 min; 0.0154 min⁻¹) via freeing electrons of expanded lifetime, as well as played a role in promotion and enhancing the ammonia gas sensing sensitivity to 17.6%.

Data Availability Statement

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

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.

References

Azimirad, R., and Safa, S. (2015). Preparation of three dimensional graphene foam WO₃ nanocomposite with enhanced visible light photocatalytic activity. Mater. Chem. Phys. 162, 686–691. doi: 10.1016/j.matchemphys.2015.06.043

CrossRef Full Text | Google Scholar

Behera, B., and Chandra, S. (2018). Synthesis of WO₃ nanorods by thermal oxidation technique for NO₂ gas sensing application. Mater. Sci. Semi. Process. 86, 79–84. doi: 10.1016/j.mssp.2018.06.022

CrossRef Full Text | Google Scholar

Bittencourt, C., Felten, A., Espinosa, E. H., Ioneescu, R., Liobetr, E., Pireaux, J. J, et al. (2006). WO₃ films modified with functionalized multi-wall carbon nanotubes: morphological, compositional and gas response studies. Sens. Actuators B Chem. 115, 33–41. doi: 10.1016/j.snb.2005.07.067

CrossRef Full Text | Google Scholar

Björkbacka, A., Yang, M., Gasparrini, C., Leygraf, C., and Jonsson, M. (2015). Kinetics and mechanisms of reactions between H₂O₂ and copper and copper oxides. Dalton Trans. 44, 16045–11651. doi: 10.1039/C5DT02024G

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, D., Yin, L., Ge, L., Fan, B., Zhang, R., Sun, J., et al. (2013). Low temperature and highly selective NO-Sensing performance of WO₃ nanoplates decorated with silver nanoparticles. Sens. Actuator. B Chem. 185, 445–455. doi: 10.1016/j.snb.2013.05.006

CrossRef Full Text | Google Scholar

Chen, L., Huang, L., Lin, Y., Sai, L., hong, Q., Wang, C., et al. (2018). Chemical Fully gravure-printed WO₃/Pt-decorated rGO nanosheets composite film for detection of acetone. Sens. Actuators B. Chem. 255, 1482–1490. doi: 10.1016/j.snb.2017.08.158

CrossRef Full Text | Google Scholar

Chu, J., Lu, D., Wang, X., Wang, X., and Xiong, S. (2017). WO₃ nanoflower coated with graphene nanosheet: synergetic energy storage composite electrode for supercapacitor application. J. Alloys. Compd. 702, 568–572. doi: 10.1016/j.jallcom.2017.01.226

CrossRef Full Text | Google Scholar

Dinari, M., Momeni, M. M., and Ahangarpour, M. (2016). Efficient degradation of methylene blue dye over tungsten trioxide/multi-walled carbon nanotube system as a novel photocatalyst. Appl. Phys. A 2122, 876–882. doi: 10.1007/s00339-016-0403-2

CrossRef Full Text | Google Scholar

Dong, S., Cui, Y., Wang, Y., Li, Y., Hu, L., Sun, J., et al. (2014). Designing three-dimensional acicular sheaf shaped BiVO₄/reduced graphene oxide composites for efficient sunlight-driven photocatalytic degradation of dye wastewater. Chem. Eng. J. 249, 102–110. doi: 10.1016/j.cej.2014.03.071

CrossRef Full Text | Google Scholar

Fan, H., Zhao, X., Yang, J., Shan, X., Yang, L., Zhang, Y., et al. (2012). ZnO-graphene composite for photocatalytic degradation of methylene blue dye. Catal. Commun. 29, 29–34. doi: 10.1016/j.catcom.2012.09.013

CrossRef Full Text | Google Scholar

Galstyan, V., Comini, E., Kholmanov, I., Faglia, G., and Sberveglieri, G. (2016). Reduced graphene oxide/ZnO nanocomposite for application in chemical gas sensors. RSC Adv. 6, 34225–34232. doi: 10.1039/C6RA01913G

CrossRef Full Text | Google Scholar

Gao, H., Yu, Q., Chen, K., Sun, P., Liu, F., Yan, X., et al. (2019). Ultrasensitive gas sensor based on hollow tungsten trioxide-nickel oxide (WO₃-NiO) nanoflowers for fast and selective xylene detection. J. Colloid Interf. Sci. 535, 458–468. doi: 10.1016/j.jcis.2018.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Gui, Y., Zhao, J., Wang, W., Tian, J., and Zhao, M. (2015). Synthesis of hemispherical WO₃/graphene nanocomposite by a microwave-assisted hydrothermal method and the gas-sensing properties to trimethylamine. Mater. Lett. 155, 4–7. doi: 10.1016/j.matlet.2015.04.100

CrossRef Full Text | Google Scholar

Guo, J. J., Li, Y., Zhu, S., Chen, Z., Liu, Q., Zhang, D., et al. (2012). Synthesis of WO₃ Graphene composite for enhanced photocatalytic Oxygen evolution from water. RSC Adv. 2, 1356–1363. doi: 10.1039/C1RA00621E

CrossRef Full Text | Google Scholar

Han, L., Chen, J., Zhang, Y., Liu, Y., Zhang, L., and Cao, S. (2018). Facile synthesis of hierarchical carpet-like WO₃ Micro flowers for high NO₂ gas sensing performance. Mater. Lett. 210, 8–11. doi: 10.1016/j.matlet.2017.08.065

CrossRef Full Text | Google Scholar

Hieu, N. V., Hoang, V., Day, N. V., and Hoa, N. D. (2012). A morphological control of tungsten oxide nanowires by thermal evaporation method for sub-ppm NO₂ gas sensor application. Sens. Actuators B Chem. 171-172, 760–768. doi: 10.1016/j.snb.2012.05.069

CrossRef Full Text | Google Scholar

Hieu, N. V., Quang, V. V., Hoa, N. D., and Kim, D. (2011). Preparing large-scale WO₃ nanowire-like structure for high sensitivity NH₃ gas sensor through a simple route. Curr. Appl. Phys. 11, 657–661. doi: 10.1016/j.cap.2010.11.002

CrossRef Full Text | Google Scholar

Jung, J. H., Cheon, D. S., Liu, F., Lee, K. B., and Seo, T. S. (2010). A graphene oxide based immuno-biosensor for pathogen detection. Angew. Chem. Int. Ed. Engl. 49, 5708–5711. doi: 10.1002/anie.201001428

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaur, J., Anand, K., Kaur, A., and Singh, R. C. (2018). Sensitive and selective acetone sensor based on Gd doped WO₃/reduced graphene oxide nanocomposite. Sens. Actuators B Chem. 258, 1022–1035. doi: 10.1016/j.snb.2017.11.159

CrossRef Full Text | Google Scholar

Li, X., Wang, J., Xie, D., Xu, J., Dai, R., Xiang, L., et al. (2015). Reduced graphene oxide/hierarchical flower-like zinc oxide hybrid films for room temperature formaldehyde detection. Sens. Actuators B Chem. 221, 1290–1298. doi: 10.1016/j.snb.2015.07.102

CrossRef Full Text | Google Scholar

Liu, X., Jin, A., Jia, Y., Xia, T., Deng, C., Zhu, M., et al. (2017). Synergy of adsorption and visible-light photocatalytic degradation of methylene blue by a bifunctional Z-scheme heterojunction of WO₃/g-C₃N₄. Appl. Surface Sci. 405 359–371. doi: 10.1016/j.apsusc.2017.02.025

CrossRef Full Text | Google Scholar

Luna, T., Chongfei, Y., Yinlan, Z., Hui, C., Siyu, Y., Jingyu, S., et al. (2018). Fabrication of WO₃ nanorods on reduced graphene oxide sheets with augmented visible light photocatalytic activity for efficient mineralization of dye. J. Alloys Comp. 769, 83–91. doi: 10.1016/j.jallcom.2018.07.176

CrossRef Full Text | Google Scholar

Min, Y.-L., Zhang, K., Chen, Y.-C., and Zhang, Y.-G. (2012). Enhanced photocatalytic performance of Bi₂WO₆ by graphene supporter as charge transfer channel. Sep. Purif. Technol. 86, 98–105. doi: 10.1016/j.seppur.2011.10.025

CrossRef Full Text | Google Scholar

Mohamed, M. M., Khairy, M., and Eid, S. (2017). Surfactant-assited formation of silver titanates as active catalysts for methanol electro-oxidation. Appl. Catal. A 547, 205–213. doi: 10.1016/j.apcata.2017.08.031

CrossRef Full Text | Google Scholar

Mohamed, M. M., Khairy, M., and Eid, S. (2018b). Polyethylene glycol assisted one-pot hydrothermal synthesis of NiWO₄/WO₃ heterojunction for direct Methanol fuel cells. Electrochim. Acta. 263, 286–298. doi: 10.1016/j.electacta.2018.01.063

CrossRef Full Text | Google Scholar

Mohamed, M. M., Khairy, M., and Ibrahem, A. (2018a). Dispersed Ag₂O/Ag on CNT-graphene composite: an implication for magnificent photoreduction and energy storage applications. Front. Chem. 6:250. doi: 10.3389/fchem.2018.00250

PubMed Abstract | CrossRef Full Text | Google Scholar

Morsy, M., Yahia, I. S., and Zahran, H. Y. (2018). Low cost alcoholic breath sensor based on SnO₂ modified with CNTs. J. Korean Phys. Soc. 73, 1437–1443. doi: 10.3938/jkps.73.1437

CrossRef Full Text | Google Scholar

Morsy, M., Yahia, I. S., Zahran, H. Y., and Ibrahim, M. (2019). Hydrothermal synthesis of CNTs/Co₃O₄@rGO mesoporous nanocomposite for enhanced VOCs. J. Inorg Organomet. Polym. 29, 416–422. doi: 10.1007/s10904-018-1011-8

CrossRef Full Text | Google Scholar

Naseri, N., Yousefzadeh, S., Daryaei, E., and Moshfegh, A. Z. (2011). Photoresponse and H₂ production of topographically controlled PEG assisted Sol-gel WO₃ nanocrystalline thin films. Int. J. Hydrogen Energy. 36, 13461–13472. doi: 10.1016/j.ijhydene.2011.07.129

CrossRef Full Text | Google Scholar

Pang, Y., Chen, Q., Shen, X., Tang, L., and Qian, H. (2010). Size-Controlled Ag nanoparticle modified WO₃ composite films for adjustment of electrochromic properties. Thin Solid Films. 518, 1920–1924. doi: 10.1016/j.tsf.2009.07.138

CrossRef Full Text | Google Scholar

Pearson, R. G. (1988). Absolute electronegativity and hardness: application to inorganic chemistry. Inorg. Chem. 27, 734–740. doi: 10.1021/ic00277a030

CrossRef Full Text | Google Scholar

Poongodi, S., Kumar, P. S., Mangalaraj, D., Ponpandian, N., Meena, P., Masuda, Y., et al. (2017). Electrodeposition of WO₃ nanostructured thinfilms for electrochromic and H₂S gas sensor applications. J. Alloys. Compd. 719, 71–81. doi: 10.1016/j.jallcom.2017.05.122

CrossRef Full Text | Google Scholar

Prabhu, S., Manikumar, S., Cindrella, L., and Kwon, O. J. (2018). Charge transfer and intrinsic electronic properties of rGO-WO₃ nanostructures for efficient photoelectrochemical and photocatalytic applications. Mater. Sci. Semicond. Process. 74, 136–146. doi: 10.1016/j.mssp.2017.10.041

CrossRef Full Text | Google Scholar

Quan, Q., Xin, L., Zhang, N., and Yi-Jun, X. (2017). Graphene and its derivatives as versatile templates for materials synthesis and functional applications, Nanoscale 9, 2398–2416. doi: 10.1039/C6NR09439B

PubMed Abstract | CrossRef Full Text | Google Scholar

Sadakane, M., Sasaki, K., Kunioku, H., Ohtani, B., Abe, R., and Ueda, W. (2010). Preparation of 3-D ordered macroporous tungsten oxides and nano-crystalline particulate tungsten oxides using a colloidal crystal template method, and their structural characterization and application as photocatalysts under visible light irradiation. J. Mater. Chem. 20, 1811–1818. doi: 10.1039/b922416e

CrossRef Full Text | Google Scholar

Saidi, T., Palmowski, D., Kiewlicz, S. B., Welearegay, T. G., El Bari, N., Ionescu, R., et al. (2018). Exhaled breath gas sensing using pristine and functionalized WO₃ nanowire sensors enhanced by UV-light irradiation. Sens. Actuators B Chem. 273 1719–1729. doi: 10.1016/j.snb.2018.07.098

CrossRef Full Text | Google Scholar

Shendage, S. S., Patil, V. L., Vanalakar, S. A., Patil, S. P., and Harale, N. S. (2017). Sensitive and selective NO₂ gas sensor based on WO₃ nanoplates. Sens. Actuators B Chem. 240, 426–433. doi: 10.1016/j.snb.2016.08.177

CrossRef Full Text | Google Scholar

Sun, M., Li, W., Sun, S., He, J., Zhang, Q., and Shi, Y. (2015). One-step in situ synthesis of graphene-TiO₂ nanorod hybrid composites with enhanced photocatalytic activity. Mater. Res. Bull. 61, 280–286. doi: 10.1016/j.materresbull.2014.10.040

CrossRef Full Text | Google Scholar

Toan, N. V., Hung, C. M., Duy, N. V., Hoa, N. D., Le, D. T. T., and Hieu, N. V. (2017). Bilayer SnO₂-WO₃ nanofilms for enhanced NH₃ gas sensing performance. Mater. Sci. Eng. B 224, 163–170. doi: 10.1016/j.mseb.2017.08.004

CrossRef Full Text | Google Scholar

Tsai, M., Lu, C., and Su, P. (2017). One-pot synthesis of AuNPs/RGO/WO₃ nanocomposite for simultaneously sensing hydroquinone and catechol. Mater. Chem. Phys. 215, 293–298. doi: 10.1016/j.matchemphys.2018.05.058

CrossRef Full Text | Google Scholar

Urasinska-Wojcik, B., Vincent, T. A., Chowdhury, M. F., and Gardner, J. W. (2016). Ultrasensitive WO₃ as sensors for NO₂ detection in air and low oxygen environment. Sens. Actuators. B Chem. 239, 1051–1059. doi: 10.1016/j.snb.2016.08.080

CrossRef Full Text | Google Scholar

Wang, G., Ji, Y., Huang, X., Yang, X., Gouma, P. I., and Dudley, M. (2006). Fabrication and characterization of polycrystalline WO₃ nanofibers and their application for ammonia sensing. J. Phys. Chem. B 110, 23777–23782. doi: 10.1021/jp0635819

PubMed Abstract | CrossRef Full Text | Google Scholar

Weng, B., Wu, J., Zhang, N., and Xu, Y.-J. (2014). Observing the role of graphene in boosting the two-electron reduction of oxygen in graphene–WO₃ nanorod photocatalysts. Langmuir 30, 5574–5584. doi: 10.1021/la4048566

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng, J., Hu, M., Wang, W., Chen, H., and Qin, Y. (2012). NO₂-sensing properties of porous WO₃ gas sensor based on anodized sputtered tungsten thin film. Sens. Actuators B Chem. 161, 447–452. doi: 10.1016/j.snb.2011.10.059

CrossRef Full Text | Google Scholar

Zhang, D., Sun, Y., Jiang, C., and Zhang, Y. (2017). Room temperature hydrogen gas sensor based on palladium decorated tin oxide/molybdenum disulfide ternary hybrid via hydrothermal route. Sen. Actuators. B Chem. 242, 15–24. doi: 10.1016/j.snb.2016.11.005

CrossRef Full Text | Google Scholar

Zhang, N., Min-Quan, Y., Siqi, L., Yugang, S., and Yi-Jun, X. (2015). Waltzing with the versatile platform of graphene to synthesize composite photocatalysts. Chem. Rev. 115, 10307–10377. doi: 10.1021/acs.chemrev.5b00267

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, N., and Yi-Jun, X. (2016). The endeavour to advance graphene–semiconductor composite-based photocatalysis. Cryst. Eng. Comm. 18, 24–37. doi: 10.1039/C5CE01712B

CrossRef Full Text | Google Scholar

Zhang, W., He, W., and Jing, X. (2010). Preparation of a stable graphene dispersion with high concentration by ultrasound. Phys. Chem. B 114, 10368–10373. doi: 10.1021/jp1037443

PubMed Abstract | CrossRef Full Text | Google Scholar