Favorable Adsorption and Detection Properties of Metal Oxides (NiO and Ag₂O) Modified Janus SnSSe Monolayer Toward SF₆ Decomposition Gases in a Gas-Insulated Equipment
IF 4.3 2区 综合性期刊Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
{"title":"Favorable Adsorption and Detection Properties of Metal Oxides (NiO and Ag₂O) Modified Janus SnSSe Monolayer Toward SF₆ Decomposition Gases in a Gas-Insulated Equipment","authors":"Long Huang;Detao Lu;Wen Zeng;Qu Zhou","doi":"10.1109/JSEN.2024.3471830","DOIUrl":null,"url":null,"abstract":"As the main monitoring method for the operation status and faults of gas-insulated equipment (GIE) equipment, SF6 decomposition gas analysis technology has been continuously upgraded, and the development of new gas-sensitive materials has always been one of the core breakthroughs. Herin, it is proposed the NiO and Ag2 O metal oxide-doped Janus tin sulfide selenide (SnSSe) (MOS-SnSSe) monolayers as prospective sensing materials for detection of four typical decomposition gases, namely, HF, SO2, SOF2, and SO2F2, to provide an option for upgrading the gas-sensitive units. The results suggest that the NiO and Ag2 O dopants are more inclined to stick to the S-surface of intrinsic SnSSe monolayer. Furthermore, the Mulliken analysis reveals the function of carrier-migration bridge of the NiO and Ag2 O dopants in the gas-sensing reaction that encourages the bidirectional migration of charges between the gas species and the SnSSe surface. The change in energy band confirms the adjusted electronic performances of MOS-SnSSe monolayers upon adsorbing gases, and the density of state redistribution in such four gas systems verifies the chemisorption of HF, SO2, SOF2, and SO2F2 on NiO-SnSSe monolayer, the chemisorption of HF and SO2 on Ag2 O-SnSSe monolayer, and the physisorption of SOF2 and SO2F2 on Ag2 O-SnSSe monolayer. Furthermore, our outcome demonstrates that the NiO-SnSSe monolayer is a feasible candidate for an SO2 resistive sensor operating at 458 K, while Ag2 O-SnSSe monolayer can serve as both a work-function-type sensor for such four gas SPICEs and a scavenger for SO2. These discoveries in this research expose the admirable gas sensitivity potentiality of the SnSSe-based system and the special attribute of the Janus community, which we anticipate could motivate more cutting-edge research in the industry of gas sensing.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"37042-37052"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10706856/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
As the main monitoring method for the operation status and faults of gas-insulated equipment (GIE) equipment, SF6 decomposition gas analysis technology has been continuously upgraded, and the development of new gas-sensitive materials has always been one of the core breakthroughs. Herin, it is proposed the NiO and Ag2 O metal oxide-doped Janus tin sulfide selenide (SnSSe) (MOS-SnSSe) monolayers as prospective sensing materials for detection of four typical decomposition gases, namely, HF, SO2, SOF2, and SO2F2, to provide an option for upgrading the gas-sensitive units. The results suggest that the NiO and Ag2 O dopants are more inclined to stick to the S-surface of intrinsic SnSSe monolayer. Furthermore, the Mulliken analysis reveals the function of carrier-migration bridge of the NiO and Ag2 O dopants in the gas-sensing reaction that encourages the bidirectional migration of charges between the gas species and the SnSSe surface. The change in energy band confirms the adjusted electronic performances of MOS-SnSSe monolayers upon adsorbing gases, and the density of state redistribution in such four gas systems verifies the chemisorption of HF, SO2, SOF2, and SO2F2 on NiO-SnSSe monolayer, the chemisorption of HF and SO2 on Ag2 O-SnSSe monolayer, and the physisorption of SOF2 and SO2F2 on Ag2 O-SnSSe monolayer. Furthermore, our outcome demonstrates that the NiO-SnSSe monolayer is a feasible candidate for an SO2 resistive sensor operating at 458 K, while Ag2 O-SnSSe monolayer can serve as both a work-function-type sensor for such four gas SPICEs and a scavenger for SO2. These discoveries in this research expose the admirable gas sensitivity potentiality of the SnSSe-based system and the special attribute of the Janus community, which we anticipate could motivate more cutting-edge research in the industry of gas sensing.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice