Vacuum Based Gas Sensing Material Characterization System for Precise and Simultaneous Measurement of Optical and Electrical Responses
| Autor: | Jie Wei, Meng Zhao, Cong Wang, Jun Wang, Jian-Min Ye, Yu-Chen Wei, Zhe-Yi Li, Run Zhao, Guo-Zhen Liu, Yan-Hong Geng, Rui Wang, Hui-Dong Xiao, Ying Li, Chao-Ya Li, Zhi-Qiang Gao, Ju Gao |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Sensors; Volume 22; Issue 3; Pages: 1014 Sensors, Vol 22, Iss 1014, p 1014 (2022) |
| ISSN: | 1424-8220 |
| Popis: | Gas sensing performance characterization systems are essential for the research and development of gas sensing materials and devices. Although existing systems are almost completely automatically operated, the accuracies of gas concentration control and of pressure control and the ability to simultaneously detect different sensor signals still require improvement. In this study, a high-precision gas sensing material characterization system is developed based on vacuum technology, with the objective of enabling the precise and simultaneous measurement of electrical responses. Because of the implementation of vacuum technology, the gas concentration control accuracy is improved more than 1600 times, whereas the pressure of the test ambient condition can be precisely adjusted between vacuum and 1.2 bar. The vacuum-assisted gas-exchanging mechanism also enables the sensor response time to be determined more accurately. The system is capable of performing sensitivity, selectivity, and stability tests and can control the ambient relative humidity in a precise manner. More importantly, the levels of performance of three different optical signal measurement set-ups were investigated and compared in terms of detection range, linearity, noise, and response time, based on which of their scopes of application were proposed. Finally, single-period and cyclical tests were performed to examine the ability of the system to detect optical and electrical responses simultaneously, both at a single wavelength and in a spectral region. |
| Databáze: | OpenAIRE |
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