Abstract
Herein, a simple, economical and low temperature synthesis of leaf-shaped CuO nanosheets is reported. As-synthesized CuO was examined through different techniques including field emission scanning electron microscopy (FESEM), energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM), high-resolution TEM (HRTEM), X-ray diffraction (XRD), fourier transform infrared spectroscopic (FTIR) and Raman spectroscopy to ascertain the purity, crystal phase, morphology, vibrational, optical and diffraction features. FESEM and TEM images revealed a thin leaf-like morphology for CuO nanosheets. An interplanar distance of ~0.25 nm corresponding to the (110) diffraction plane of the monoclinic phase of the CuO was revealed from the HRTEM images XRD analysis indicated a monoclinic tenorite crystalline phase of the synthesized CuO nanosheets. The average crystallite size for leaf-shaped CuO nanosheets was found to be 14.28 nm. Furthermore, a chemo-resistive-type gas sensor based on leaf-shaped CuO nanosheets was fabricated to effectively and selectively detect H2S gas. The fabricated sensor showed maximum gas response at an optimized temperature of 300 °C towards 200 ppm H2S gas. The corresponding response and recovery times were 97 s and 100 s, respectively. The leaf-shaped CuO nanosheets-based gas sensor also exhibited excellent selectivity towards H2S gas as compared to other analyte gases including NH3, CH3OH, CH3CH2OH, CO and H2. Finally, we have proposed a gas sensing mechanism based upon the formation of chemo-resistive CuO nanosheets.
1. Introduction
Recently, detecting hazardous substances and continuously monitoring the air pollutants, toxic gases and volatile organic gases have become the key to create a safe and healthy environment for society. Vehicular and other industrial activities are adding a variety of harmful toxic gases tremendously to the environment daily. Continuous exposure to such gases is the cause of serious health related problems in humans [1,2]. One such harmful gas is hydrogen sulfide (H2S) which is highly corrosive, inflammable, and explosive, thus an extremely hazardous gas. Exposure to low concentrations of H2S gas may cause a sore throat, coughing, skin itching, eye irritation and inflammation and irritation in the respiratory track, etc. [3,4]. In contrast, exposure to high concentrations (>100 ppm) may lead to olfactory nerve paralysis, loss of consciousness, myocardial damage and Alzheimer’s disease. H2S exposure above 300 ppm may cause the sudden collapse of the cardiovascular system, damage to the human lungs and central nervous system [5,6,7].
A plethora of different analytical methods including conductometric [8], spectroscopic [9], micro-cantilever [10], gas chromatography [11], surface plasmon resonance [12], surface acoustic [13], field-emission transistors [14], microwave, [15] and chemo-resistive sensors based on nano-sized semiconductor metal oxides that have emerged as potential gas sensor materials and have been exhaustively investigated for variety of hazardous toxic gases [16,17]. Recently, many metals oxide-based gas sensors based on a chemo-resistive technique have been reported for H2S gas sensing and monitoring. Qiao et al. [18] reported Mo-doped BiVO4 were with high sensitivity, selectivity, fast response towards 20 ppm H2S at optimized temperature of 150 °C. Li et al. [19] analyzed the effect of integrating p-type and n-type semiconductor for H2S by synthesizing metal-organic frameworks-derived bamboo-like CuO/In2O3 heterostructure. Flower-like structures composed of vertical aligned ZnO nanorods showed a high response and selectivity for H2S at room temperature [20]. Hydrothermally synthesized pure ZnO and Cu-doped ZnO nanostructures decorated with reduced graphene oxide were compared for their H2S gas sensing behavior by Shewale et al. [21] and it was concluded that Cu doping and rGO inclusion, resulted in improved sensing parameters. CuFe2O4 nanoparticles prepared through sol-gel auto-combustion method, showed excellent sensitivity towards 25 ppm H2S at 80 °C [22].
Among the various chemo-resistive metal oxides, cupric oxide (CuO) poses interesting properties like a p-type semiconducting nature, a narrow band gap (1.2 eV in bulk), high charge carrier concentrations, superior physical and chemical properties, ease of synthesis, versatile morphologies controlled through reaction conditions, reagent concentration and selectivity of synthetic method [23,24]. CuO nano/microstructures such as flower-shaped [25], nanoneedles [26], nanorods [27], nanowires [28], and nanosheets [29] have been synthesized utilizing hydrothermal, sol-gel, coprecipitation, electrospinning techniques. Owing to these versatile features, CuO nanostructures have been explored for numerous highly toxic volatile organic compounds and gases like ammonia [30], acetone [31], alcohols [32], liquified petroleum gas [33], carbon monoxide [34], sulphur dioxide [35], nitrogen dioxide [36] and many more. A detailed literature survey revealed that the two-dimensional CuO nanomaterials are rarely reported for the sensing of H2S gas.
Herein, we are reporting a simple, economic and low temperature synthesis of leaf-shaped CuO nanosheets. As-synthesized CuO was examined through different techniques to confirm its formation, purity, crystal phase, morphology, vibrational, optical and diffraction features. A chemo-resistive type gas sensor based on leaf-shaped CuO nanosheets was fabricated to effectively and selectively detect H2S gas. The sensor parameters were analyzed under varying degree of the operating temperatures and concentrations. Finally, a gas sensing mechanism was also proposed.
2. Materials and Methods
2.1. Synthesis of Leaf-Shaped CuO Nanosheets
Leaf-shaped CuO nanosheets were grown by a low temperature solution process. In a typical synthesis, 2 mmol of Copper (II) nitrate trihydrate (Cu(NO3)2·3H2O) was first dissolved in 50 mL of deionized (DI) water under vigorous stirring for 1h. Separately 10 mmol sodium hydroxide (NaOH) was freshly prepared in 20 mL DI water. Then NaOH solution was introduced to the Cu precursor solution under stirring until the pH of solution was reached to 11. Afterward, the reaction mixture was put into scotch Durant bottle and strongly tight the cover of the bottle. The Scotch Durant bottle was placed in an oven and maintained the temperature at 70 °C for 24 h. After completion of the reaction, the precipitate was washed several times with distilled water and ethanol repeatedly to remove the complexes and other impurities. Lastly, the desired product was dried at 80 °C to obtain CuO powder. Figure 1 depicts the typical schematic for the synthesis of leaf-shaped CuO nanosheets.
Figure 1.
Schematic to synthesize leaf-shaped CuO nanosheets.
2.2. Characterization of Leaf-Shaped CuO Nanosheets
Field emission scanning electron microscopy (FESEM, JEOL-JSM-7600F, Boston, MA, USA) associated with energy dispersive spectroscopy (EDS) and transmission electron microscopy (TEM, JEOL-JEM-2100F; Boston, MA, USA) associated with high-resolution TEM (HRTEM) were utilized to examine the detailed structural, elemental, compositional, and morphological features of the hydrothermally synthesized leaf-shaped CuO nanosheets. X-ray diffractometer (XRD, PANanalytical Xpert Pro., Davis, CA, USA) studies were performed using Cu-Kα radiation (λ = 1.542 Å) for analyzing the crystal phases and size for the synthesized CuO. Fourier transform infrared spectroscopic (FTIR, Perkin Elmer-FTIR Spectrum-100; Markham, ON, Canada ) technique, through KBr palletization, along with Raman spectroscopy (Perkin Elmer-Raman Station-400 series, Markham, ON, Canada ) were used to study the vibrational properties. The photoluminescence spectra (PL) were analyzed by the FP-6500 (JASCO, Easton, MD, USA) fluorometer using CuO suspension in ethanol solvent.
2.3. Fabrication of H2S Gas Sensor Based on Leaf-Shaped CuO Nanosheets
A slurry was made, by mixing leaf-shaped CuO nanosheets with diethanolamine and ethanol, and coated on the surfaces of ceramic tube to obtain thick films. The gas sensing characteristics were examined by computer-controlled gas sensing analysis system. The details of the gas sensing system are presented elsewhere [16]. The test chamber volume is 4 L. During the sensing measurements, the heating system adjusts the temperature directly. When the resistance of the sensors became stable, the dynamic gas distribution system injected the target gas into the chamber. The sensors’ resistance then changed, and the test chamber was opened when the resistance returned to normal, and the gas sensors would recover to origin states. The gas sensor response was defined as the ratio of device resistance in the presence of testing gas (Rg) and in air (Ra) at the same temperature (Equation (1)).
3. Results and Discussion
3.1. Characterizations
The surface features, morphology and microstructure of the as-synthesized CuO nanosheets were characterized by a field emission scanning electron microscope (FESEM) at resolution scales of 5 μm (Figure 2a), 2 μm (Figure 2b), 1 μm (Figure 2c) and 500 nm (Figure 2d). All FESEM images revealed a thin leaf-like morphology for CuO nanosheets. The surfaces of the nanosheets were very smooth but the edges displayed small fringes, features similar to plant leaves. The average width of the leaf-shaped nanosheets was ~250 nm. However, the length-wise dimensions were quite variable.
Figure 2.
(a,b) Low-magnification, (c,d) high-resolution FESEM images, (e) TEM image and (f) high-resolution TEM image of hydrothermally synthesized leaf-shaped CuO nanosheets.
More details of the microstructural properties of CuO nanoleaves were further explored through transmission electron microscopy (TEM; JEOL-JEM-2100F) equipped with high-resolution TEM (HRTEM). In Figure 2e,f the typical TEM and HRTEM images of a leaf-shaped CuO nano-sheet, respectively are shown. Thin leaf like morphologies of the CuO nanosheets, as examined through FESEM images, were confirmed by the TEM image (Figure 2e). Similar to the reported literature, the interplanar distance of ~0.25 nm which corresponds to the (1 1 0) diffraction plane of the monoclinic phase of the CuO was from the HRTEM images (Figure 2f).
The crystalline phase of hydrothermally synthesized CuO leaf-shaped nanosheets was analyzed by XRD as shown in Figure 3. Well defined diffraction patterns at 2θ values 32.45°, 35.45°, 38.65°, 46.25°, 48.75°, 53.50°, 58.25°, 61.50°, 66.25° and 68.00° are due to the lattice planes (110), (), (), , (), (020), (202), , and (220), respectively. These diffraction peaks and planes are the characteristics of the monoclinic tenorite crystalline phase of the CuO. The data is well-matched with the JCPDS 48–1548 card as well as the reported literature. Absence of peaks related to any other crystalline phase and impurity further indicate the successful synthesis of highly pure monophasic CuO nanoleaves via facile hydrothermal process.
Figure 3.
XRD patterns of hydrothermally synthesized leaf-shaped CuO nanosheets.
The crystal size (d) of the leaf-shaped CuO with monoclinic crystalline phase was determined by using Debye-Scherrer equation (Equation (2)).
where K is a numerical factor (In this case K = 0.89), β is full width at half maximum (FWHM) and λ is 0.154 nm. Some of the most intense XRD peaks, as mentioned in Table 1 were used to calculate the FWHM. The average crystallite size for leaf-shaped CuO nanosheets was found to be 14.28 nm.
Table 1.
Diffraction parameters for leaf-shaped CuO nanosheets.
Since, for gas sensing applications, the composition and the purity of the gas sensor electrode material is of utmost importance, the as-synthesized leaf-shaped CuO nanosheets were subjected to elemental composition analysis using EDS attached with the FESEM. Figure 4a is representing the EDS spectrum of the leaf-shaped CuO nanosheets which shows only the spectral peaks for copper and oxygen elements. This ensured that the CuO nanosheets are free of any impurities.
Figure 4.
(a) Typical EDS spectrum, (b) Raman spectrum, (c) FTIR spectrum and (d) Photoluminescence spectra of leaf-shaped CuO nanosheets.
Structural fingerprinting through Raman spectroscopy is an important qualitative technique to analyze the composition, vibrational and scattering properties of the metal oxide semiconductors [37]. The primitive cell for the monoclinic tenorite crystalline phase of CuO consists of two molecules per unit cell with the space group [29]. In general, there are nine zone-center optical phonon modes for CuO with symmetries 4Au + 5Bu + Ag + 2Bg. However, out of these modes only three phonon modes with symmetries Ag and 2Bg are Raman active [38]. The typical Raman spectrum for leaf-shaped CuO nanosheets consist of three distinct characteristic Raman peaks at 287, 344 and 620 cm−1 (Figure 4b). The distinct sharp peak at 287 cm−1 is attributed to Ag phonon mode, whereas less intense Raman peaks at 344 and 620 cm−1 are assigned to Bg1 and Bg2 modes, respectively. The peaks are in good agreement with the Raman peaks reported for urchin like CuO hollow microspheres [39], CuO nanoplates [40] and CuO nanoparticles [41].
Figure 4c is representing the well-defined FTIR spectrum for the hydrothermally synthesized CuO nanosheets. FTIR peaks appeared at 523, 587, 1625 and 3427 cm−1 for leaf-shaped CuO nanosheets. Very sharp vibrational peaks in the fingerprint region i.e., at 523 and 587 cm−1 may be assigned to the stretching vibrations of the M-O bonds (In this case Cu-O bond) [42]. Additional peaks at 1625 cm−1 and a wide FTIR band at 3427 cm−1 may be attributed to the bending and stretching vibrations, respectively for the O–H groups of physiosorbed H2O molecules on the surface of the leaf-shaped CuO nanosheets [43].
Photoluminescence (PL) spectroscopy is usually helpful in predicting the charge carrier trapping efficiencies, surface defects as well as the recombination of the e−/h+ pairs in a semiconductor metal oxide. PL spectrum of the leaf-shaped CuO nanosheets showed typical green emission within the wavelength range of 400–450 nm (Figure 4d). The broad nature of the PL spectrum further indicates the presence of the surface defects on CuO nanosheets [44]. Emission peaks at 414.4 and 431.8 nm are supposed to arises from the ionized oxygen vacancies resulting in green emission from the surface of the leaf-shaped CuO nanosheets [45]. The band gap for CuO was calculated from the emission peaks at 414.4 and 431.8 nm using well-known Planck’s equation (Equation (3)). The calculated band gap was in the range 2.99–2.87 eV which is close to the reported value [45].
3.2. H2S Gas Sensing Applications of CuO Nanosheets
Semiconductor metal oxides are the key component of the most of the recently studied gas sensors due to their low-cost synthesis, biocompatibility, ease of sensor fabrication and excellent gas sensing behavior. Gas sensing parameters of such sensors are controlled by different factors like operating temperature, gas concentration, composition of the sensor material, surface modifications, crystal size, and most importantly the nature of the gas which significantly contributes to the selectivity of the sensor.
One of the most important controlling factors is the operating temperature since it controls the adsorption ⇌ desorption equilibrium of the gas and O2 molecules, kinetics of the redox reactions, and concentration of oxygen vacancies on the surface of the sensor materials. Herein, the optimized temperature was found to be 300 °C for the sensing of 200 ppm H2S gas through leaf-shaped CuO nanosheets based gas sensor device. The corresponding gas response was 35.3 at optimized temperature. Low sensor response below 300 °C is due to insufficiently activation of the H2S gas molecules to react with the surface adsorbed O2 molecules (Figure 5a). As the temperature is increased more O2 molecules are reduced to the oxygenated anionic species which further react with H2S molecules, thereby increasing gas response. However, beyond optimized temperature, the increased rate of the desorption of the H2S and O2 molecules decreases the gas response.
Figure 5.
(a) Gas sensor response to 200 ppm H2S gas as a function of the operating temperature, (b,c) dependency of gas sensor response on low and high concentration, respectively for H2S gas at optimized temperature and (d) Dynamic response plots for leaf-shaped CuO nanosheets based H2S gas sensor.
The gas sensor response depends upon the rate of the redox reactions occurring at the surface of the sensor material, which in turn is directly proportional to the concentration of the analyte gas. Therefore, the gas responses of the leaf-shaped CuO nanosheets based gas sensor for low concentrations (10–100 ppm) (Figure 5b) as well as high concentrations (100–450 ppm) (Figure 5c) of the H2S gas, at an optimized temperature of 300 °C, were recorded. Excellent linearities were observed between the gas response and H2S concentration with determinant coefficients of 0.99545 and 0.99710 for low and high concentration ranges, respectively. The real time dynamic response-recovery curves for the fabricated sensor against different concentrations of the H2S gas ranging from 50–250 ppm at 300 °C are shown in Figure 5d. The gas response steeply increased in the presence of the analyte gas and as soon as the supply of the gas was interrupted, the gas response returned to the original baseline value. The behavior was observed for all the chosen H2S concentrations at optimum temperature. Excellent gas response can be attributed to the unique nanosheet like morphology for of CuO which provide a large specific surface area for the high extent of adsorption of O2 and H2S gas molecules.
The repeatability and reusability aspects of the CuO nanosheets based sensor towards sequential exposure of 200 ppm H2S gas at optimized temperature of 300 °C were examined by analyzing gas responses for successive twelve cycles. The outcomes of the analysis are shown in Figure 6a. Perfectly matched gas responses for each cycle indicate excellent response reproducibility of the fabricated H2S gas sensors. The response and recovery times are also two important factors in the gas sensor applications. The response (τres) and recovery time (τrec) relate to the time required by the sensor to attain the 90% steady response value and the time required to reach 10% of the initial gas response, respectively [35]. Figure 6b shows the response and recovery curves for leaf-shaped CuO nanosheets based gas sensor towards 200 ppm of H2S gas at optimized temperature. Response and recovery times were 97 s and 100 s, respectively.
Figure 6.
(a) Reproducibility study and (b) Response curve for the calculation of response and recovery times.
Inspired by the excellent gas sensing behavior of the as-fabricated gas sensor, the selectivity test was also performed (Figure 7). The test shows that the leaf-shaped CuO nanosheets based gas sensor was more selective towards H2S gas as compared to other analyte gases including NH3, CH3OH, CH3CH2OH, CO and H2. For 200 ppm concentrations, the gas responses towards H2S observed were 4.84, 3.21, 2.94, 5.19 and 6.30 times higher than NH3, CH3OH, CH3CH2OH, CO and H2, respectively at 300 °C temperature.
Figure 7.
Selectivity studies of the leaf-shaped CuO nanosheets based H2S gas sensor.
3.3. Proposed Gas Sensing Mechanism
Since CuO is a typical p-type semiconductor metal oxide, its gas-sensing behavior is attributed to the change in the resistance resulted due to redox reactions occurring on its surface between the H2S gas molecules and various oxygenated anionic species. The resistance changes are also resulted by the adsorption ⇌ desorption equilibrium of the analyte gases as a function of temperature and the concentration. In the presence of air ambient conditions, p-type CuO semiconductor ionizes adsorbed O2 molecules into various anionic species including , , and at optimized temperature conditions utilizing the conduction band electrons (Equations (4)–(6)). This loss of electrons from the conduction band forms a positively charged hole accumulation layer.
Due to the formation of positively charged hole accumulation layer near the surface of the CuO nanosheets which stimulates a competitive resistance between the highly insulating resistive core and the hole accumulation layer [29].
The oxidation of the H2S to SO2 and H2O on the surface of the leaf-shaped CuO nanosheet results in the release of the electrons which are trapped by the positively charged holes resulting in electron-hole recombination (Equations (7)–(9)). The thickness of the hole depletion layer is decreased which subsequently enhances the resistance of the leaf-shaped CuO nanosheets [46] (Figure 8).
Figure 8.
Schematics of the H2S gas sensing mechanism by leaf-shaped CuO nanosheets.
In order to further justify the novelty of the present work, a comparative analysis of the gas sensor parameters of the present study is shown in Table 2 and compared to other reported CuO nanostructures. From the Table 2, it can be inferred that as-synthesized leaf-shaped CuO nanosheets show the better gas sensing performance as compared to reported pure CuO nanostructures and composites of CuO.
Table 2.
Sensing parameters for various CuO gas sensor materials towards H2S gas.
4. Conclusions
In summary, leaf-shaped CuO nanosheets were prepared through facile low temperature hydrothermal process and were subsequently characterized. The average width of the leaf-shaped nanosheets was ~250 nm and the surface were smooth but the edges displayed small fringes. The H2S gas sensor was fabricated using as-synthesized leaf-shaped CuO nanosheets. At the optimized temperature conditions, a gas response of 35.3 was observed for 200 ppm H2S gas. Outstanding linearity between gas response and the concentrations of the H2S gas were shown at low as well as high concentration ranges. Additionally, the fabricated sensors also showed good repeatability and selectivity. The excellent gas response for leaf-shaped CuO nanosheets gas sensors are due to the unique nanosheet-like morphology for of CuO which provide a large specific surface area for the high extent of adsorption of O2 and H2S gas molecules. From these findings, it can be presumed that gas sensors based on leaf-shaped CuO nanosheets may, in near future, be suitable materials for the detection of highly toxic gases like H2S.
Author Contributions
Conceptualization, A.U., H.A. (Hassan Algadi), M.S.A., A.A.I. and W.Z.; methodology, A.U., H.A. (Hassan Algadi),, M.S.A., A.A.I., H.A. (Hasan Albargi) and W.Z.; software, A.U., H.A.(Hassan Algadi), R.K., M.S.A., A.A.I., H.A.(Hasan Albargi), and M.A.M.A.; formal analysis, A.U.,
H.A.(Hassan Algadi),, R.K., M.S.A., A.A.I., H.A.(Hasan Albargi), M.A.M.A., T.A. and W.Z.; investigation, A.U., H.A.(Hassan Algadi), R.K., M.S.A., A.A.I., H.A.(Hasan Albargi), M.A.M.A., T.A. and W.Z. writing—original draft preparation, A.U. R.K., M.S.A.; writing—review and editing, A.U., R.K., M.S.A., and W.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Deputy for Research and Innovation-Ministry of Education, Kingdom of Saudi Arabia through a grant (NU/IFC/INT/01/004) under the institutional funding committee at Najran University, Kingdom of Saudi Arabia.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data is contained within the article.
Acknowledgments
Authors would like to acknowledge the support of the Deputy for Research and Innovation-Ministry of Education, Kingdom of Saudi Arabia for the research through a grant (NU/IFC/INT/01/004) under the institutional funding committee at Najran University, Kingdom of Saudi Arabia.
Conflicts of Interest
The authors declare no conflict of interest.
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