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Liu S, Liu Y, Li H, Bai Y, Xue J, Xu R, Zhang M, Chen G. Performance enhancement of gas sensing by modification of molybdenum selenide nanosheets with metal nanoparticles. NANOTECHNOLOGY 2022; 33:215501. [PMID: 35147519 DOI: 10.1088/1361-6528/ac5446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
In this paper, nanostructured molybdenum selenide (MoSe2) with composited phases are synthesized by hydrothermal method, and the products are modified by metal anoparticles to improve the gas sensing performance. Microstructure characterization shows that few layered 1T/2H-MoSe2nanosheets have been successfully prepared. Both the morphology and component of nanosheets could be tuned by the reaction parameters. It is shown the MoSe2-based nanomaterials have excellent selectivity to nitrogen dioxide (NO2) according to gas sensing properties measurement. The sensitivity of 1T/2H-MoSe2nanosheets modified by Cu nanoparticles is 17.73 (50 ppm NO2) at the optimal operating temperature, which is the highest compared with other samples. The sensors also exhibit rapid response/recovery time and high stability. The sensing mechanism of MoSe2nanosheets toward NO2is investigated based on the first-principles calculation. The results suggest the modification by metal nanoparticles could significantly improve the adsorption energy and charge transfer between gas molecule and MoSe2. This work demonstrates a promising guidance for the design of new NO2gas sensing materials and devices.
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Affiliation(s)
- Shuai Liu
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
- Xi'an Jiaotong University Suzhou Institute, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Yinggang Liu
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
| | - Hanxiao Li
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
| | - Yu Bai
- Xi'an Jiaotong University Suzhou Institute, Suzhou, Jiangsu, 215123, People's Republic of China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Jiale Xue
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
| | - Ruojun Xu
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
| | - Min Zhang
- Xi'an Jiaotong University Suzhou Institute, Suzhou, Jiangsu, 215123, People's Republic of China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Guoxiang Chen
- College of Sciences, Xi'an Shiyou University, Xi'an, Shaanxi, 710065, People's Republic of China
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Shi Z, Xia SY. First-Principle Study of Rh-Doped Nitrogen Vacancy Boron Nitride Monolayer for Scavenging and Detecting SF 6 Decomposition Products. Polymers (Basel) 2021; 13:3507. [PMID: 34685266 PMCID: PMC8541247 DOI: 10.3390/polym13203507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/04/2021] [Accepted: 09/06/2021] [Indexed: 11/16/2022] Open
Abstract
The scavenging and detection of sulfur hexafluoride (SF6) decomposition products (SO2, H2S, SO2F2, SOF2) critically matters to the stable and safe operation of gas-insulated switchgear (GIS) equipment. In this paper, the Rh-doped nitrogen vacancy boron nitride monolayer (Rh-VNBN) is proposed as a gas scavenger and sensor for the above products. The computational processes are applied to investigate the configurations, adsorption and sensing processes, and electronic properties in the gas/Rh-VNBN systems based on the first-principle calculations. The binding energy (Eb) of the Rh-VNBN reaches -8.437 eV, while the adsorption energy (Ead) and band gap (BG) indicate that Rh-VNBN exhibits outstanding adsorption and sensing capabilities. The density of state (DOS) analysis further explains the mechanisms of adsorption and sensing, demonstrating the potential use of Rh-VNBN in sensors and scavengers of SF6 decomposition products. This study is meaningful as it explores new gas scavengers and sensors of SF6 decomposition products to allow the operational status assessment of GIS equipment.
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Affiliation(s)
- Zhen Shi
- School of Electrical Engineering, Guangxi University, Nanning 530004, China
| | - Sheng-Yuan Xia
- State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China;
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Cao Z, Li W, Yao Q, Zhang H, Wei G. Platinum-Doped Anatase (101) Surface as Promising Gas-Sensor Materials for HF, CS 2, and COF 2: A Density Functional Theory Study. ACS OMEGA 2021; 6:696-701. [PMID: 33458522 PMCID: PMC7807789 DOI: 10.1021/acsomega.0c05235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 12/11/2020] [Indexed: 06/12/2023]
Abstract
In order to find promising sensor materials for HF, CS2, and COF2 detection to realize the online internal insulation defect diagnosis of a SF6 gas electrical device, the gas sensing property, binding energy, adsorption distance, charge transfer, and density of states distribution, of Pt-doped anatase TiO2 (101) surfaces on HF, CS2, and COF2 gas molecules was calculated and analyzed in this paper based on the density functional theory. The work suggested that the Pt-TiO2 surface has a nice gas sensing upon CS2 and COF2 because of the increase of the conductivity of the Pt-TiO2 surface and the suitable adsorption parameter after CS2 and COF2 adsorbing on it. However, this material is not suitable as a gas sensor for HF gas. All of the works provide theoretical adsorption information of Pt-TiO2 as a gas sensor material for HF, CS2, and COF2 detection.
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Affiliation(s)
- Zhengqin Cao
- College
of Electrical Engineering, Chongqing University
of Science and Technology, Chongqing, China 401331
| | - Wei Li
- College
of Electrical Engineering, Chongqing University
of Science and Technology, Chongqing, China 401331
| | - Qiang Yao
- State
Grid Chongqing Electric Power Company, Chongqing, China 404100
| | - Haiyan Zhang
- College
of Electrical Engineering, Chongqing University
of Science and Technology, Chongqing, China 401331
| | - Gang Wei
- College
of Electrical Engineering, Chongqing University
of Science and Technology, Chongqing, China 401331
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