Next Article in Journal
Accurate Ambient Noise Assessment Using Smartphones
Previous Article in Journal
Autonomous Multi-Robot Search for a Hazardous Source in a Turbulent Environment
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 17
Issue 4
10.3390/s17040913
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p–n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2

by
Hongcheng Liu
1,
Qu Zhou
1,2,*,
Qingyan Zhang
1,
Changxiang Hong
1,
Lingna Xu
1,2,
Lingfeng Jin
2 and
Weigen Chen
2
1
College of Engineering and Technology, Southwest University, Chongqing 400715, China
2
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(4), 913; https://doi.org/10.3390/s17040913
Submission received: 12 March 2017 / Revised: 6 April 2017 / Accepted: 17 April 2017 / Published: 21 April 2017
(This article belongs to the Section Physical Sensors)
Browse Figures
Versions Notes

Abstract

:
The detection of partial discharge and analysis of the composition and content of sulfur hexafluoride SF6 gas components are important to evaluate the operating state and insulation level of gas-insulated switchgear (GIS) equipment. This paper reported a novel sensing material made of pure ZnO and NiO-decorated ZnO nanoflowers which were synthesized by a facile and environment friendly hydrothermal process for the detection of SF6 decomposition byproducts. X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), high resolution transmission electron microscopy (HRTEM), energy-dispersive X-ray spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS) were used to characterize the structural and morphological properties of the prepared gas-sensitive materials. Planar-type chemical gas sensors were fabricated and their gas sensing performances toward the SF6 decomposition byproducts SO2, SO2F2, and SOF2 were systemically investigated. Interestingly, the sensing behaviors of the fabricated ZnO nanoflowers-based sensor to SO2, SO2F2, and SOF2 gases can be obviously enhanced in terms of lower optimal operating temperature, higher gas response and shorter response-recovery time by introducing NiO. Finally, a possible gas sensing mechanism for the formation of the p–n junctions between NiO and ZnO is proposed to explain the enhanced gas response. All results demonstrate a promising approach to fabricate high-performance gas sensors to detect SF6 decomposition byproducts.

1. Introduction

Gas-insulated switchgear (GIS) is used extensively In electrical power systems, where it presents unique advantages, including small space occupation, low failure rates, outstanding breaking capacity, and so on [1,2]. In the event of a short circuit in big systems, the high-voltage circuit breaker (CB) in the switchgear is the last line of defense, so the GIS must remain healthy [3]. Sulfur hexafluoride (SF6) as a widely used insulating medium in GIS due to its excellent insulating and arc-extinguishing properties [4,5]. Despite of the high reliability of GIS equipment, some internal defects could still lead to different degrees of partial discharge (PD) when the GIS equipment has been running for a long time [6]. When exposed to the energy of partial discharges, the SF6 gas in GIS equipment could decompose and generate SF4, SF3, and SF2 [7], as well as various low-fluorine sulfides. The decomposed SF6 reacts further with trace moisture, oxygen and solid materials, thus producing multiple chemical products (SOF4, SOF2, SO2F2, SO2, H2S and HF, among others) [8,9]. These products accelerate the aging of the insulation and the corrosion of metal surfaces, which may eventually lead to GIS insulation faults. Some new studies show that the composition and content of these byproducts could be used to evaluate the operating state and insulation level of GIS equipment [10,11]. Consequently, many methods such as infrared absorption spectrometry [12], photoacoustic (PA) spectroscopy technology [13], and test tube method [14] have been used to detect and analyze the partial discharge decomposition products of SF6. However, these methods are offline laboratory detection methods and it is difficult to achieve on-line monitoring.
Recently, metal-oxide semiconductor materials with low operating temperature, good gas responses and stable properties have attracted much research interest for various applications, including gas sensors [15,16], solar cells [17], UV sensors [18]. Particularly zinc oxide (ZnO) [19,20,21,22], a typical n-type semiconducting material with a wide band gap, that can easily form p–n junctions with NiO has attracted the attention of researchers [23,24,25]. Liu et al. reported p-NiO/n-ZnO hetero-structures synthesized by a low-cost and environmentally friendly strategy and investigated their gas sensing performance to acetone [26]. Using a simple photochemical deposition method Dai et al. prepared honeycomb-like NiO/ZnO hetero-structured nanorods exhibiting dramatically enhanced UV detection performance [27]. Tian et al. developed a hydrothermal method followed by calcination to prepare NiO/ZnO p–n heterostructures which exhibited high responses to ethanol vapor [28]. However, to the best of our knowledge, the hydrothermal synthesis of p-NiO/n-ZnO composite nanostructures for SF6 decomposed components gas sensors has rarely been reported.
Thus, in this context we have successfully synthesized pure ZnO and NiO-decorated ZnO flower-like nanometer materials and systematically researched their gas sensing performances toward the SF6 decomposition byproducts SOF2, SO2F2, and SO2. By a comparative study, we conclude that the introduction of NiO plays an important role in improving the sensing performances of pure ZnO microflowers toward the main components of SF6 decomposition, in terms of lower optimal working temperature, higher gas response and shorter response-recovery time. Moreover, a possible sensing mechanism to explain this interesting performance is also proposed, that is, the formation of p–n junctions NiO and ZnO. These results demonstrate a promising approach to fabricate gas sensors to detect SF6 decomposed components in GIS.

2. Experimental Details

2.1. Preparation and Characterization of Materials

All the chemical reagents were analytical-grade, purchased from Beijing Chemicals Co. Ltd. (Beijing, China) and used as received without any further purification. Pure ZnO flower-like nanometer materials were synthesized by a facile and environmentally friendly hydrothermal method. In a typical procedure, Zn(NO3)2·6H2O (10 mmol) was firstly dissolved completely in a mixed solution distilled water and anhydrous ethanol (40 mL of each) to form a precursor solution. After magnetic stirring for about 30 min, the mixture was transferred into a 100 mL Teflon-lined stainless steel autoclave, and maintained at 180 °C for 12 h in order to obtain flower-like nanomaterials. Finally, the collected products were washed with distilled water and anhydrous ethanol several times, and dried at 80 °C for 8 h to further use. 3 at-% NiO-decorated ZnO flower-like sensing materials were synthesized by the same process mentioned above, except a certain proportion of Ni(NO3)2·6H2O was added to the precursor solution.
The crystalline parameters of the synthesized sensing materials were characterized by X-ray diffraction (XRD) with Cu Kα radiation (40 kV, 200 mA and λ = 1.5418 Å). Field emission scanning electron microscopy (FESEM, FEI, Hillsboro, OR, USA; operated at 10 kV), transmission electron microscopy (G2 F20 S-TWIN, Tecnai, Hillsboro, OR, USA; operated at 200 kV) and HRTEM combined with select area electron diffraction (SAED) were used to examine the morphology of the products. The chemical compositions of the prepared samples were conducted using energy-dispersive X-ray spectroscopy (EDS). X-ray photoelectron spectroscopy (XPS) was performed on an ESCLAB MKII using monochromatic Al Kα as the X-ray exciting source to investigate the chemical state of elements existing in the products.

2.2. The Fabrication of Sensors

Gas sensors were fabricated by a screen-printing technique with planar ceramic substrates [29] Figure 1 (the planar sensor) shows a structural drawing of the sensor, which mainly consists of three parts: ceramic substrate, Ag–Pd interdigital electrodes, and sensing materials. As prepared samples were ground into a fine powder and further mixed with distilled water and ethanol to form a homogeneous paste. This was subsequently screen printed onto the planar ceramic substrate to generate a uniform sensing film, and dried in air at 50 °C for 8 h. Finally, the fabricated gas sensor was aged at an aging test chamber for 12 days to improve the stability and repeatability before testing.

2.3. Gas Response Measurement

Gas sensing properties of the fabricated sensors to SOF2, SO2F2, and SO2 were measured and automatically recorded by a CGS-1TP (Chemical Gas Sensor-1 Temperature Pressure) intelligent gas sensing analysis system, purchased from Beijing Elite Tech Co., Ltd. (Beijing, China) [30]. Figure 1 shows a schematic diagram of the CGS-1TP system. The planar sensor was laid on the test chamber and its electrodes fixed by adjusting the two probes on each side to collect electrical signals. It is convenient to gain sensor resistance, gas response, working temperature, environmental temperature, and relative humidity with this system.
In this study, the gas response was defined as S = Ra/Rg, where Ra and Rg were the electrical resistance of the fabricated sensor in air and in the test gas, respectively. Response and recovery time was defined as the time required by the sensor to achieve 90% of the total resistance after injecting and removing the detected gas. All sensing measurements were tested under laboratory condition with room temperature (25 °C) and constant humidity (50% relative humidity), and repeated several times to ensure the reliability of the results.

3. Results and Discussion

3.1. Structural and Morphological Characterizations

The crystalline parameters of the as-prepared products were investigated by XRD and the results are presented in Figure 2. It is obvious that all of the peaks for both products can be well indexed and exactly match the standard pattern of ZnO (JCPDS. 36-1451). No obvious diffraction peaks of NiO were observed in the pattern, suggesting that the introducing of NiO did not change the original ZnO structure. It may be proposed that the amount of NiO is very small and it is highly dispersed in the ZnO samples. Moreover, the high peak intensities clearly indicate the high degree of crystallization of both of the samples, corresponding to a lower number of lattice defects [31]. No other doping diffraction peaks were observed from Figure 2, which suggest a high purity of our as-prepared products.
The overall surface morphologies of the pure and NiO-decorated ZnO nanostructures were firstly studied by FESEM. From Figure 3a,b it is clear that both products consist of a large amount of beautiful microflowers with smooth and approximately uniform size, and no other morphologies are observed. Comparing Figure 3a,b, the micro-morphological structures of the pure and NiO-decorated ZnO nanostructures are almost similar, which demonstrate that the introduction of NiO only has a slight impact on the morphology of pure ZnO products. Further morphology characterization was performed by TEM and shown in Figure 3c. The single microflower was composed of nanorods that connected to each other through the center to form 3D flower-like structures. This is in agreement with recently reported synthesized flower-like nanostructure [32]. The HRTEM image is shown in Figure 3d and the interplanar spacing of 0.28 nm as illustrated is consistent well with the (100) planes of ZnO (JCPDS. 36-1451). And the interplanar distances of 0.24 nm agree well with the lattice spacing of the (111) planes of the cubic NiO [33], which indicate that NiO has already exists in the composites.
In order to investigate the element components of the as synthesized samples, energy dispersive X-ray spectroscopy measurements were conducted. Figure 4 shows the EDS spectra of 3 at-% NiO-decorated ZnO products. It is clear that the elemental compositions of Ni, O and Zn, and the atomic percentage of Ni in the samples is calculated to be 2.72 at-%. Meanwhile no other EDS peaks have been found, which confirms our products are of high purity.
The chemical compositions and chemical states of the samples were studied by X-ray photoelectron spectroscopy analysis, and the corresponding results are shown in Figure 5. As observed in Figure 5a, the XPS wide survey spectrum of the synthesized hierarchical samples confirms the existence of Zn, Ni, O, and C. It is proposed that C includes not only C compounds adsorbed by the samples from air, but also oily dirt from the apparatus. Figure 5b shows the high resolution scanning XPS spectra of Ni 2p. It is observed from the Ni 2p3/2 main peak and its satellite peak are located at 855.98 eV and 861.58 eV, respectively, while the Ni 2p1/2 main peak and its satellite peak appear at 873.38 eV and 879.68 eV, respectively. These results are in agreement with the previously reported values and further confirm the presence of NiO [34,35]. From Figure 5c, it is clear that the prominent peaks of Zn 2p3/2 and Zn 2p1/2 are at the binding energies of 1021.58 eV and 1044.68 eV. The observed spin-orbit splitting of Zn 2p between Zn 2p3/2 and Zn 2p1/2 is about 23 eV, which is consistent with the corresponding value of pure ZnO, indicating a normal state of Zn2+ in the synthesized sample [36]. In the spectra of O 1s as shown in Figure 5d, the peaks are located at 530.88 eV and 531.38 eV, and 532.33 eV respectively, which could be attributed to O2− ions [37,38]. Therefore, it can be deduced that the Zn and Ni are present as ZnO and NiO in this sample, respectively.

3.2. Gas-Sensing Properties

Figure 6 presents the electric resistance properties in pure air of the as prepared pure ZnO and NiO-decorated ZnO sensors at various operating temperatures from 100 °C to 400 °C. As seen in Figure 6, the resistance values of the two sensors decrease when the operating temperature increases, which is an intrinsic characteristic of a semiconductor gas sensor. Compared with pure ZnO sensor, the NiO-decorated ZnO sensor exhibits a higher resistance value at the same working temperature, which might be beneficial to the following gas sensing performances.
In general, the sensing performance of fabricated gas sensors is strongly influenced by the operating temperature. In order to demonstrate that the addition of NiO nanoparticles is an effective way to enhance the gas sensing properties of ZnO-based gas sensor, the effects of various different operating temperatures ranging from 140 °C to 360 °C on fabricated sensors to 100 ppm of SO2, SOF2, and SO2F2 were respectively investigated and illustrated in Figure 7. It is found that the response of the pure and NiO-decorated ZnO sensors to SO2 firstly improve with increasing working temperatures and gave the largest values of about 30.35 at 260 °C and 84.26 at 220 °C, respectively, then it decreased with further rising temperatures. Similar sensing behaviors and gas response curves are observed for SOF2 and SO2F2. The maximum gas response of the pure and NiO-decorated ZnO sensors against SOF2 appear at about 300 °C and 260 °C with responses 12.49 and 22.25, respectively. The maximum response values to SO2F2 are about 18.46 at 300 °C and 36.67 at 260 °C for the pure and NiO-decorated ZnO sensors. Comparison of these sensing results indicate that the introduction of NiO can not only reduce the optimum operating temperature, but also enhance the gas response to SF6 decomposed components, along with obvious changes in the temperature characteristic curve.
Figure 8 depicts the gas responses of the pure and NiO-decorated ZnO sensors to SO2 at different concentrations at their respective optimum operating temperature. From Figure 8a, the response continuously increases with gas concentrations ranging from 5 to 800 ppm. Moreover, it is clear that the NiO-decorated ZnO sensor demonstrates enhanced sensing properties for SO2 detection compared with the pure ZnO sensor. Figure 8b exhibits a linear calibration curve of the sensors with SO2 concentration in the range of 5~100 ppm. In this area, the linear fitting functions of pure and NiO-decorated ZnO gas sensors are y = 0.288x + 3.397 and y = 0.761x + 13.049, respectively. Their linear correlation coefficients R2 are as high as 0.996 and 0.987, which indicates that the response of SO2 concentration variation at low concentration is close to linear.
The gas responses of the pure and NiO-decorated ZnO sensors to SOF2 with different concentrations at their respective optimum working temperatures were measured and are shown in Figure 9. The responses of the fabricated sensors increase rapidly in linearity with increasing SOF2 concentration below 200 ppm, but increase much more slowly above 200 ppm. Moreover, we can also find that the response of the NiO-decorated ZnO sensor is nearly two times higher, on average, than that of the pure ZnO sensor. As Figure 9b exhibits, the linear relationship of the pure and NiO-decorated ZnO sensors between the sensing response and gas concentration in the range of 5~100 ppm are fitted by the equation y = 0.121x + 0.797 and y = 0.203x + 1.398, with high liner correlation coefficients R2 of 0.993 and 0.994, respectively.
Figure 10 shows the responses of the pure and NiO-decorated ZnO sensors as a function of SO2F2 with different concentrations at their respective optimum operating temperatures. As Figure 10a shows that the gas responses of the sensors increase rapidly with increasing SO2F2 concentration, but increase much more slowly with the further increase of the SO2F2 concentration and nearly reach their saturation at about 600 ppm. Furthermore, the response of the NiO-decorated ZnO sensor is higher than that of the pure one. From Figure 10b the linear fitting functions of pure and NiO-ZnO gas sensors to 5~100 ppm of SO2F2 are y = 0.175x + 0.270 and y = 0.358x + 1.752, respectively. And their linear correlation coefficients R2 were calculated to be 0.990 and 0.995, respectively.
According to the sensing results mentioned above, it can be concluded that the gas responses of the NiO-decorated ZnO sensor to SO2, SO2F2 and SOF2 is higher than that of the pure one. Moreover, the responses of the prepared sensors to these three test gases at low concentration have a good linear relationship. These good linear relationships indicate that the fabricated gas sensors are more likely to be used in practice [39,40].
Figure 11 presents the response and recovery curves of the NiO-decorated ZnO sensor to 100 ppm SO2, SO2F2 and SOF2 working at their respective optimum operating temperature. As seen in Figure 10, the common feature of these three test gases is that the response of the sensor increases rapidly when gas is injected into the gas chamber for sensing and dramatically decreases to its initial value when the gas is removed. According to the definition above, the response times to 100 ppm SO2, SO2F2 and SOF2 were calculated to be about 12, 16 and 18 s, while the recovery times were calculated to be about 16, 20 and 22 s, respectively.
Finally, the long-time stability and repeatability of the NiO-decorated ZnO sensor to 100 ppm SO2, SO2F2 and SOF2 at their respective optimum working temperatures were measured and shown in Figure 12. As the figure shows, all of the gas responses change slightly and remain at a nearly constant value during the long experimental cycles, which indicates the excellent long-term stability and repeatability of the fabricated sensors for detecting these three kinds of SF6 decomposition byproducts.

3.3. Sensing Mechanisms

The sensing mechanism for ZnO, a typical n-type semiconductor gas sensing material, has been interpreted in some former papers [41,42]. It is believed that the sensing properties of ZnO chemical gas sensors are mainly determined by the change of electric resistance, which is fundamentally attributed to the chemical adsorption and desorption process of target gas molecules on the surface of gas sensing materials [43]. In an air atmosphere, oxygen could be absorbed on the ZnO surface acting as a trap capturing electrons from its conduction band to form a depletion region on the surface. This depletion region would lead to an increase of the sensor resistance. When exposed to a target gas, the test gas molecules react with the adsorbed oxygen and the trapped electrons are released back into the conduction band, and thus as decreased resistance is measured [44]. According to the definition of gas response (Ra/Rg) the response of the sensor increases.
It was observed in the present study that the sensing properties of ZnO were greatly enhanced due to the introduction of NiO. Two main reasons satisfactorily explain this interesting performance. It has been acknowledged that the gas sensing properties of semiconductor nanomaterials with different morphologies are different [45]. In this study, the synthesized flower-like nanomaterials offer a larger surface accessibility, which will be favorable to adsorption and desorption of target gas molecules, and this unique morphology is helpful to improve the gas sensing response. Moreover, the formation of p–n junctions between NiO and ZnO in the grain boundaries results in an enhancement of gas sensing. A hetero p–n junction system has been proposed to explain the enhanced gas response of Co3O4-WO3 [46], NiO-SnO2 [47], LaFeO3-SnO2 [48] heterocontacts.
As we all know, ZnO shows n-type conductivity by electrons and NiO shows p-type conductivity by holes. By introducing NiO into ZnO, the electrons in ZnO and holes in NiO transport in opposite directions until the system reaches equalization of the Fermi levels, leading to the formation of a p–n junction, as shown in Figure 13a [49]. This is the thermal equilibrium of the formation of a p–n junction [50]. When the composite was exposed to air, oxygen molecules can absorb on the surface of the material and form chemically adsorbed oxygen. With different operating temperatures chemisorbed oxygen exists in various forms [51], as shown in the reaction Equations (1)–(4).
O2 (gas) → O2 (ads)
O2 (gas) + 2e− → 2O− (ads)
½ O2 (ads) + 2e− → O2− (ads)
O2 (ads) + e− → O2− (ads)
Moreover, the resistance of the NiO-decorated ZnO in air (Ra) will be even higher than without the heterojunctions (pure ZnO) due to a new depletion layer between NiO and ZnO [33,52]. Nevertheless, when the composite was exposed to test gases (SO2, SOF2 and SO2F2), the gas molecules react with the absorbed oxygen species of gas sensing material and release the electrons back to the material. The three SF6 decomposed components all play the role of an electron donating gas [53]. The reaction equation is as follows:
R + O− (ads) «═» RO (ads) + e−
where R is one of SF6 decomposition component gases, and O−(ads) denotes the adsorbed oxygen on the material’s surface. Owing to the electron-hole recombination, the hole concentration of p-type NiO decreases, and as a result the concentration gradient of the p–n junction is reduced. Thus, the effect of carriers transport becomes weak and the depletion layer becomes thin [50,54], as shown in Figure 13b. The resistance of the sensor in the test gas is further decreased [55]. In short, compared with a pure ZnO sensor, the formation of p–n junctions greatly increase the resistance of the ZnO sensor in air and further decreases the resistance in the test gas. Thus, based on the definition of gas response (Ra/Rg), the responses of the gases are greatly enhanced due to the variation of resistance [49].

4. Conclusions

In summary, pure and 3 at-% NiO-decorated ZnO sensing materials were successfully synthesized via a one-step hydrothermal method and characterized by XRD, FESEM, TEM, HRTEM, EDS and XPS, respectively. Their gas sensing properties toward the SF6 decomposition byproducts SO2, SO2F2, and SOF2 were systemically researched with a CGS-1TP gas sensing analysis system. Comparative results demonstrate that the as prepared NiO-decorated ZnO sensing material exhibits enhanced gas sensing properties, including lower optimal working temperature, higher gas response and shorter response-recovery time. Such good performance is attributable to the formation of p–n junctions between NiO and ZnO. This work provides an effective way for designing high-performance gas sensors to detect SF6 decomposition byproducts like SO2, SO2F2, and SOF2.

Acknowledgments

This work has been supported in part by the National Natural Science Foundation of China (No. 51507144), China Postdoctoral Science Foundation funded project (Nos. 2015M580771, 2016T90832), the Chongqing Science and Technology Commission (CSTC) (No. cstc2016jcyjA0400), Postdoctoral Science Funded Project of Chongqing (No. Xm2015016), Visiting Scholarship of State Key Laboratory of Power Transmission Equipment & System Security and New Technology (No. 2007DA10512716423) and Fundamental Research Funds for the Central Universities (No. XDJK2015B005).

Author Contributions

Hongcheng Liu and Qu Zhou conceived and designed the experiments; Hongcheng Liu and Qingyan Zhang performed the experiments; Changxiang Hong and Lingfeng Jin analyzed the data; Hongcheng Liu and Qu Zhou wrote the paper. Qu Zhou, Lingna Xu and Weigen Chen reviewed and revised the manuscript. All authors read and approved the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Seo, H.C.; Jang, W.H.; Kim, C.H.; Chung, Y.H.; Lee, D.S.; Rhee, S.B. Analysis of Magnitude and Rate-of-Rise of VFTO in 550 kV GIS Using EMTP-RV. J. Electr. Eng. Technol. 2013, 8, 11–19. [Google Scholar] [CrossRef]
  2. Ma, G.M.; Wu, Z.; Zhou, H.Y.; Jiang, J.; Chen, W.X.; Zheng, S.S.; Li, C.R.; Li, X.; Wang, Z.B. A Wireless and Passive Online Temperature Monitoring System for GIS Based on Surface-Acoustic-Wave Sensor. IEEE Trans. Power Deliv. 2016, 31, 1270–1280. [Google Scholar] [CrossRef]
  3. Istad, M.; Runde, M. Thirty-Six Years of Service Experience with a National Population of Gas-Insulated Substations. IEEE Trans. Power Deliv. 2010, 25, 2448–2454. [Google Scholar] [CrossRef]
  4. Beyer, C.; Jenett, H.; Kfockow, D. Influence of reactive SFX gases on electrode surfaces after electrical discharges under SF6 atmosphere. IEEE Trans. Dielectr. Electr. Insul. 2000, 7, 234–240. [Google Scholar] [CrossRef]
  5. Tang, J.; Zeng, F.P.; Yu, J.Y.; Zhang, X.X.; Yao, Q.; He, J.J.; Hou, X.Z. Correlation analysis between formation process of SF6 decomposed components and partial discharge qualities. IEEE Trans. Dielectr. Electr. Insul. 2013, 20, 864–875. [Google Scholar] [CrossRef]
  6. Zhang, X.X.; Tie, J.; Chen, Q.C. Pt-Doped TiO2-Based Sensors for Detecting SF6 Decomposition Components Decomposed Components. IEEE Trans. Dielectr. Electr. Insul. 2015, 22, 1559–1566. [Google Scholar] [CrossRef]
  7. Zhang, X.X.; Tie, J.; Zhang, J.B. A Pt-Doped TiO2 Nanotube Arrays Sensor for Detecting SF6 Decomposition Products. Sensors 2013, 13, 14764–14776. [Google Scholar] [CrossRef] [PubMed]
  8. Piemontesi, M.; Niemeyer, L. Sorption of SF6 and SF6 Decomposition Products by Activated Alumina and Molecular Sieve 13X. In Proceedings of the 1996 IEEE International Symposium Electrical Insulation, Montreal, QC, Canada, 16–19 June 1996; Volume 2, pp. 16–19. [Google Scholar]
  9. Zhang, X.X.; Meng, F.S.; Yang, B. Use of Hydroxyl-modified Carbon Nanotubes for Detecting SF6 Decomposition Products under Partial Discharge in Gas Insulated Switchgear. IEEE Trans. Dielectr. Electr. Insul. 2013, 20, 2246–2253. [Google Scholar] [CrossRef]
  10. Li, Q.M.; Cong, H.X.; Xing, J.Y.; Qi, B.; Li, C.R. On-Line Temperature Monitoring of the GIS Contacts Based on Infrared Sensing Technology. J. Electr. Eng. Technol. 2014, 9, 1385–1393. [Google Scholar] [CrossRef]
  11. Zhang, X.X.; Zhang, J.B.; Jia, Y.C.; Xiao, P.; Tang, J. TiO2 Nanotube Array Sensor for Detecting the SF6 Decomposition Product SO2. Sensors 2012, 12, 3302–3313. [Google Scholar] [CrossRef] [PubMed]
  12. Kurte, R.; Heise, H.M.; Klockow, D. Quantitative infrared spectroscopic analysis of SF6 decomposition products obtained by electrical partial discharges and sparks using PLS-calibrations. J. Mol. Struct. 2001, 565, 505–513. [Google Scholar] [CrossRef]
  13. Luo, J.; Fang, Y.H.; Su, Z.X.; Li, D.C.; Zhao, Y.D.; Wang, A.J.; Wu, J.; Cui, F.X.; Li, Y.Y. The research of temperature properties of photoacoustic spectroscopy detection for SF6 decomposition products in gas insulated switchgear. Anal. Methods 2015, 7, 3806–3813. [Google Scholar] [CrossRef]
  14. Hergli, R.; Casanovas, J.; Derdouri, A.; Grob, R.; Mathieu, J. Study of The Decomposition of SF6 in the Presence of Water, Subjected to Gamma-Irradiation or Corona Discharges. IEEE Trans. Electr. Insul. 1988, 23, 451–465. [Google Scholar] [CrossRef]
  15. Liu, W.L.; Liu, Y.Y.; Do, J.S.; Li, J. Highly sensitive room temperature ammonia gas sensorbased on Ir-doped Pt porous ceramic electrodes. Appl. Surf. Sci. 2016, 390, 929–935. [Google Scholar] [CrossRef]
  16. Ayesh, A.I. Linear hydrogen gas sensors based on bimetallic nanoclusters. J. Alloy. Compd. 2016, 689, 1–5. [Google Scholar] [CrossRef]
  17. Dashtian, K.; Zare-Dorabei, R. Preparation and characterization of a novel optical chemical sensor for determination of trace amounts of Praseodymium ion by UV/Vis spectrophotometry. Sens. Actuators B Chem. 2017, 242, 586–594. [Google Scholar] [CrossRef]
  18. Altamura, G.; Wang, M.Q.; Choy, K.L. Improving efficiency of electrostatic spray-assisted vapor eposited Cu2ZnSn(S,Se)(4) solar cells by modification of Mo/absorber interface. Thin Solid Films 2015, 597, 19–24. [Google Scholar] [CrossRef]
  19. Galstyan, V.; Comini, E.; Kholmanov, I.; Faglia, G.; Sberveglieri, G. Reduced graphene oxide/ZnO nanocomposite for application in chemical gas sensors. RSC Adv. 2016, 6, 34225–34232. [Google Scholar] [CrossRef]
  20. Spencer, M.J.S. Gas sensing applications of 1D-nanostructured zinc oxide: Insights from density functional theory calculations. Prog. Mater. Sci. 2012, 7, 437–486. [Google Scholar] [CrossRef]
  21. Galstyan, V.; Comini, E.; Ponzoni, A.; Sberveglieri, V.; Sberveglieri, G. ZnO Quasi-1D Nanostructures: Synthesis, Modeling, and Properties for Applications in Conductometric Chemical Sensors. Chemosensors 2016, 4, 6. [Google Scholar] [CrossRef]
  22. Zoshki, A.; Rahmani, M.B.; Masdarolomoor, F.; Pilehrood, S.H. Room Temperature Gas Sensing Properties of Polyaniline/ZnO Nanocomposite Thin Films. J. Nanoelectron. Optoelectron. 2017, 12, 465–471. [Google Scholar] [CrossRef]
  23. Qu, Z.; Fu, Y.M.; Yu, B.W.; Deng, P.; Xing, L.L.; Xue, X.Y. High and fast H2S response of NiO/ZnO nanowire nanogenerator as a self-powered gas sensor. Sens. Actuators B Chem. 2016, 222, 78–86. [Google Scholar] [CrossRef]
  24. Li, C.; Feng, C.H.; Qu, F.D.; Liu, J.; Zhu, L.H.; Lin, Y.; Wang, Y.; Li, F.; Zhou, J.R.; Ruan, S.P. Electrospun nanofibers of p-type NiO/n-type ZnO heterojunction with different NiO content and its influence on trimethylamine sensing properties. Sens. Actuators B Chem. 2015, 207, 90–96. [Google Scholar] [CrossRef]
  25. Tian, F.S.; Liu, Y.L. Synthesis of p-type NiO/n-type ZnO heterostructure and its enhanced photocatalytic activity. Scr. Mater. 2013, 69, 417–419. [Google Scholar] [CrossRef]
  26. Liu, Y.L.; Li, G.Z.; Mi, R.D.; Deng, C.K.; Gao, P.Z. An environment-benign method for the synthesis of p-NiO/n-ZnO heterostructure with excellent performance for gas sensing and photocatalysis. Sens. Actuators B Chem. 2014, 191, 537–544. [Google Scholar] [CrossRef]
  27. Dai, W.; Pan, X.H.; Chen, S.S.; Chen, C.; Wen, Z.; Zhang, H.H.; Ye, Z.Z. Honeycomb-like NiO/ZnO heterostructured nanorods: Photochemical synthesis, characterization, and enhanced UV detection performance. J. Mater. Chem. C 2014, 2, 4604–4614. [Google Scholar] [CrossRef]
  28. Tian, H.L.; Fan, H.Q.; Dong, G.Z.; Ma, L.T.; Ma, J.W. NiO/ZnO p–n heterostructures and their gas sensing properties for reduced operating temperature. RSC Adv. 2016, 6, 109091–109098. [Google Scholar] [CrossRef]
  29. Zhou, Q.; Liu, H.C.; Hong, C.X.; Xu, L.N.; Chen, W.G. Fabrication and Enhanced Acetylene Sensing Properties of PdO-Decorated SnO2 Composites Chemical Sensor. Sensor Lett. 2016, 14, 1144–1149. [Google Scholar] [CrossRef]
  30. Zhou, Q.; Tang, C.; Zhu, S.P.; Chen, W.G.; Li, J. Fabrication and Characterization of Hydrogen Sensor Based on Hierarchical Pine-Needle Shape SnO2 Nanostructures. Sens. Lett. 2015, 13, 900–905. [Google Scholar] [CrossRef]
  31. Thi, T.V.; Rai, A.K.; Gim, J.; Kim, J. High performance of Co-doped NiO nanoparticle anodematerial for rechargeable lithium ion batteries. J. Power Sour. 2015, 292, 23–30. [Google Scholar] [CrossRef]
  32. Zhou, Q.; Xie, B.; Jin, L.F.; Chen, W.G.; Li, J. Hydrothermal Synthesis and Responsive Characteristics of Hierarchical Zinc Oxide Nanoflowers to Sulfur Dioxide. J. Nanosci. Nanotechnol. 2016, 2016, 6742104. [Google Scholar] [CrossRef]
  33. Liu, C.; Zhao, L.; Wang, B.; Sun, P.; Wang, Q.; Gao, Y.; Liang, X.; Zhang, T.; Lu, G. Acetone gas sensor based on NiO/ZnO hollow spheres: Fast response and recovery, and low (ppb) detection limit. J. Colloid Interface Sci. 2017, 495, 207–215. [Google Scholar] [CrossRef] [PubMed]
  34. Tong, S.F.; Zheng, M.B.; Lu, Y.; Lin, Z.X.; Li, J.; Zhang, X.P.; Shi, Y.; He, P.; Zhou, H.S. Mesoporous NiO with a single-crystalline structure utilized as a noble metal-free catalyst for nonaqueous Li–O2 batteries. J. Mater. Chem. A 2015, 3, 16177–16182. [Google Scholar] [CrossRef]
  35. Guo, W.X.; Sun, W.W.; Wang, Y. Multilayer CuO@NiO Hollow Spheres: Microwave-Assisted Metal-Organic-Framework Derivation and Highly Reversible Structure-Matched Stepwise Lithium Storage. ACS Nano 2015, 9, 11462–11471. [Google Scholar] [CrossRef] [PubMed]
  36. Saaedi, A.; Yousefi, R.; Jamali-Sheini, F.; Zak, A.K.; Cheraghizade, M.; Mahmoudian, M.R.; Baghchesara, M.A.; Dezaki, A.S. XPS studies and photocurrent applications of alkali-metals-doped ZnO nanoparticles undervisible illumination conditions. Physica E 2016, 79, 113–118. [Google Scholar] [CrossRef]
  37. Ren, Y.R.; Wei, H.M.; Huang, X.B.; Yang, B.; Wang, J.W.; Ding, J.N. Fabrication of NiO Nanowires/G Composite as Electrode Material for High Performance Supercapacitor. Int. J. Electrochem. Sci. 2014, 9, 7206–7216. [Google Scholar]
  38. Wei, X.Q.; Man, B.Y.; Liu, M.; Xue, C.S.; Zhuang, H.Z.; Yang, C. Blue luminescent centers and microstructural evaluation by XPS and Raman in ZnO thin films annealed in vacuum, N2 and O2. Physica B 2007, 388, 145–152. [Google Scholar] [CrossRef]
  39. Zhou, Q.; Chen, W.G.; Peng, S.D.; Zeng, W. Hydrothermal Synthesis and Acetylene Sensing Properties of Variety Low Dimensional Zinc Oxide Nanostructures. Sci. World J. 2014, 2014, 489170. [Google Scholar] [CrossRef] [PubMed]
  40. Dong, X.C.; Zhang, X.X.; Wu, X.Q.; Cui, H.; Chen, D.C. Investigation of Gas-Sensing Property of Acid-Deposited Polyaniline Thin-Film Sensors for Detecting H2S and SO2. Sensors 2016, 16, 1889. [Google Scholar] [CrossRef] [PubMed]
  41. Kumar, R.; Al-Dossary, O.; Kumar, G.; Umar, A. Zinc Oxide Nanostructures for NO2 Gas-Sensor Applications: A Review. Nano Micro Lett. 2015, 7, 97–120. [Google Scholar] [CrossRef]
  42. Hosseini, Z.S.; Zad, A.I.; Mortezaali, A. Room temperature H2S gas sensor based on rather aligned ZnO nanorods with flower-likestructures. Sens. Actuators B Chem. 2015, 207, 865–871. [Google Scholar] [CrossRef]
  43. Peng, S.D.; Wu, G.L.; Song, W.; Wang, Q. Application of Flower-Like ZnO Nanorods Gas Sensor Detecting SF6 Decomposition Products. J. Nanomater. 2013, 2013, 135147. [Google Scholar] [CrossRef]
  44. Zhou, Q.; Chen, W.G.; Xu, L.N.; Peng, S.D. Hydrothermal Synthesis of Various Hierarchical ZnO Nanostructures and Their Methane Sensing Properties. Sensors 2013, 13, 6171–6182. [Google Scholar] [CrossRef] [PubMed]
  45. Wang, L.L.; Zhou, T.T.; Zhang, R.; Lou, Z.; Deng, J.N.; Zhang, T. Comparison of toluene sensing performances of zinc stannate with different morphology-based gas sensors. Sens. Actuators B Chem. 2016, 227, 448–455. [Google Scholar] [CrossRef]
  46. Zhao, X.D.; Ji, H.M.; Jia, Q.Q.; Wang, M.J. A nanoscale Co3O4-WO3 p–n junction sensor with enhanced acetone responsivity. J. Mater. Sci. Mater. Electron. 2015, 26, 8217–8233. [Google Scholar] [CrossRef]
  47. Wang, Y.; Zhang, H.; Sun, X.H. Electrospun nanowebs of NiO/SnO2 p–n heterojunctions for enhanced gas sensing. Appl. Surf. Sci. 2016, 389, 514–520. [Google Scholar] [CrossRef]
  48. Zhang, W.; Xie, C.S.; Zhang, G.Z.; Zhang, J.; Zhang, S.P.; Zeng, D.W. Porous LaFeO3/SnO2 nanocomposite film for CO2 detection with high sensitivity. Mater. Chem. Phys. 2017, 186, 228–236. [Google Scholar] [CrossRef]
  49. Ju, D.X.; Xua, H.Y.; Xua, Q.; Gong, H.B.; Qiu, Z.W.; Guo, J.; Zhang, J.; Cao, B.Q. High triethylamine- sensing properties of NiO/SnO2 hollow sphere p–n heterojunction sensors. Sens. Actuators B Chem. 2015, 215, 39–44. [Google Scholar] [CrossRef]
  50. Bai, S.L.; Guo, W.T.; Sun, J.H.; Li, J.; Tian, Y.; Chen, A.F.; Luo, R.X.; Li, D.Q. Synthesis of SnO2-CuO heterojunction using electrospinning and application in detecting of CO. Sens. Actuators B Chem. 2016, 226, 96–103. [Google Scholar] [CrossRef]
  51. Yamazoe, N.; Shimanoe, K. Theory of power laws for semiconductor gas sensors. Sens. Actuators B Chem. 2008, 128, 566–573. [Google Scholar] [CrossRef]
  52. Chen, Y.J.; Yu, L.; Feng, D.D.; Zhuo, M.; Zhang, M.; Zhang, E.N.; Xu, Z.; Li, Q.H.; Wang, T.H. Superior ethanol-sensing properties based on Ni-doped SnO2 p–n heterojunction hollow spheres. Sens. Actuators B Chem. 2012, 166–167, 61–67. [Google Scholar] [CrossRef]
  53. Zhang, X.X.; Yu, L.; Tie, J.; Dong, X.C. Gas Sensitivity and Sensing Mechanism Studies on Au-Doped TiO2 Nanotube Arrays for Detecting SF6. Sensors 2014, 14, 19517–19532. [Google Scholar] [CrossRef] [PubMed]
  54. Mane, A.T.; Navale, S.T.; Sen, S.; Aswal, D.K.; Gupta, S.K.; Patil, V.B. Nitrogen dioxide (NO2) sensing performance of p-polypyrrole/n-tungsten oxide hybrid nanocomposites at room temperature. Org. Electron. 2015, 16, 195–204. [Google Scholar] [CrossRef]
  55. Bai, S.L.; Chen, S.; Zhao, Y.B.; Guo, T.; Luo, R.X.; Li, D.Q.; Chen, A.F. Gas sensing properties of Cd-doped ZnO nanofibers synthesized by the electrospinning method. J. Mater. Chem. A 2014, 2, 16697–16706. [Google Scholar] [CrossRef]
Sensors 17 00913 g001 550
Figure 1. Schematic diagram of the CGS-1TP gas sensing analysis system.
Figure 1. Schematic diagram of the CGS-1TP gas sensing analysis system.
Sensors 17 00913 g001
Sensors 17 00913 g002 550
Figure 2. X-ray powder diffraction patterns of pure and 3 at-% NiO-decorated ZnO nanostructures.
Figure 2. X-ray powder diffraction patterns of pure and 3 at-% NiO-decorated ZnO nanostructures.
Sensors 17 00913 g002
Sensors 17 00913 g003a 550Sensors 17 00913 g003b 550
Figure 3. FESEM images of (a) pure and (b) NiO-decorated ZnO nanostructures (c) TEM and (d) HRTEM image of the NiO-decorated ZnO microflowers.
Figure 3. FESEM images of (a) pure and (b) NiO-decorated ZnO nanostructures (c) TEM and (d) HRTEM image of the NiO-decorated ZnO microflowers.
Sensors 17 00913 g003aSensors 17 00913 g003b
Sensors 17 00913 g004 550
Figure 4. EDS spectra of 3 at-% NiO-decorated ZnO nanostructures.
Figure 4. EDS spectra of 3 at-% NiO-decorated ZnO nanostructures.
Sensors 17 00913 g004
Sensors 17 00913 g005 550
Figure 5. XPS survey spectra of NiO-decorated ZnO: (a) full spectrum; (b) Ni 2p; (c) Zn 2p; (d) O 1s.
Figure 5. XPS survey spectra of NiO-decorated ZnO: (a) full spectrum; (b) Ni 2p; (c) Zn 2p; (d) O 1s.
Sensors 17 00913 g005
Sensors 17 00913 g006 550
Figure 6. The electric resistance properties of the prepared sensors to different temperatures in air.
Figure 6. The electric resistance properties of the prepared sensors to different temperatures in air.
Sensors 17 00913 g006
Sensors 17 00913 g007 550
Figure 7. Gas response of the pure and NiO-decorated ZnO gas sensors to 100 ppm SO2, SOF2, and SO2F2 at different working temperature.
Figure 7. Gas response of the pure and NiO-decorated ZnO gas sensors to 100 ppm SO2, SOF2, and SO2F2 at different working temperature.
Sensors 17 00913 g007
Sensors 17 00913 g008 550
Figure 8. (a) Response of the pure and NiO-decorated ZnO gas sensors to various concentrations of SO2 at 220 °C; (b) Linear fitting curves of pure and NiO-decorated ZnO sensors to 5~100 ppm of SO2.
Figure 8. (a) Response of the pure and NiO-decorated ZnO gas sensors to various concentrations of SO2 at 220 °C; (b) Linear fitting curves of pure and NiO-decorated ZnO sensors to 5~100 ppm of SO2.
Sensors 17 00913 g008
Sensors 17 00913 g009 550
Figure 9. (a) Pure and NiO-decorated ZnO gas sensors’ response to different concentrations of SOF2 at the 260 °C operating temperature; (b) Linear relationship between the sensors’ response value and the SOF2 concentration.
Figure 9. (a) Pure and NiO-decorated ZnO gas sensors’ response to different concentrations of SOF2 at the 260 °C operating temperature; (b) Linear relationship between the sensors’ response value and the SOF2 concentration.
Sensors 17 00913 g009
Sensors 17 00913 g010 550
Figure 10. (a) Response of the pure and NiO-decorated ZnO gas sensors to SO2F2 with different concentration at 260 °C; (b) Linear fitting curves of the prepared the sensors to 5~100 ppm of SO2F2.
Figure 10. (a) Response of the pure and NiO-decorated ZnO gas sensors to SO2F2 with different concentration at 260 °C; (b) Linear fitting curves of the prepared the sensors to 5~100 ppm of SO2F2.
Sensors 17 00913 g010
Sensors 17 00913 g011 550
Figure 11. Response-recovery curves of the NiO-decorated ZnO gas sensor to 100 ppm SO2, SO2F2 and SOF2.
Figure 11. Response-recovery curves of the NiO-decorated ZnO gas sensor to 100 ppm SO2, SO2F2 and SOF2.
Sensors 17 00913 g011
Sensors 17 00913 g012 550
Figure 12. The stability and repeatability of the NiO-decorated ZnO sensor against SO2, SO2F2 and SOF2.
Figure 12. The stability and repeatability of the NiO-decorated ZnO sensor against SO2, SO2F2 and SOF2.
Sensors 17 00913 g012
Sensors 17 00913 g013 550
Figure 13. Energy band schematics for p-type NiO/n-type ZnO heterojunction (a) in air atmosphere; (b) in test gases. Ec: lower level of conduction band; EF: Fermi level; Ev: upper level of valence band.
Figure 13. Energy band schematics for p-type NiO/n-type ZnO heterojunction (a) in air atmosphere; (b) in test gases. Ec: lower level of conduction band; EF: Fermi level; Ev: upper level of valence band.
Sensors 17 00913 g013

Share and Cite

MDPI and ACS Style

Liu, H.; Zhou, Q.; Zhang, Q.; Hong, C.; Xu, L.; Jin, L.; Chen, W. Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p–n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2. Sensors 2017, 17, 913. https://doi.org/10.3390/s17040913

AMA Style

Liu H, Zhou Q, Zhang Q, Hong C, Xu L, Jin L, Chen W. Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p–n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2. Sensors. 2017; 17(4):913. https://doi.org/10.3390/s17040913

Chicago/Turabian Style

Liu, Hongcheng, Qu Zhou, Qingyan Zhang, Changxiang Hong, Lingna Xu, Lingfeng Jin, and Weigen Chen. 2017. "Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p–n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2" Sensors 17, no. 4: 913. https://doi.org/10.3390/s17040913

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

Article Metrics

Back to TopTop