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ACS Appl Mater Interfaces

Title:		Machine Learning-Assisted Volatile Organic Compound Gas Classification Based on Polarized Mixed-Potential Gas Sensors
Author(s):		Wang B; Zhang J; Wang T; Li W; Lu Q; Sun H; Huang L; Liang X; Liu F; Liu F; Sun P; Lu G;
Address:		"State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Gas Sensors, Jilin Province, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun130012, China. International Center of Future Science, Jilin University, 2699 Qianjin Street, Changchun130012, China"
Journal Title:		ACS Appl Mater Interfaces
Year:		2023
Volume:		20230120
Issue:		4
Page Number:		6047 - 6057
DOI:		10.1021/acsami.2c17348
ISSN/ISBN:		1944-8252 (Electronic) 1944-8244 (Linking)
Abstract:		"The performance of electrochemical gas sensors depends on the reactions at the three-phase boundary. In this work, a mixed-potential gas sensor containing a counter electrode, a reference electrode, and a sensitive electrode was constructed. By applying a bias voltage to the counter electrode, the three-phase boundary can be polarized. The polarization state of the three-phase boundary determined the gas-sensitive performance. Taking 100 ppm ethanol vapor as an example, by regulating the polarization state of the three-phase boundary, the response value of the sensor can be adjusted from -170 to 40 mV, and the sensitivity can be controlled from -126.4 to 42.6 mV/decade. The working temperature of the sensor can be reduced after polarizing the three-phase boundary, lowering the power consumption from 1.14 to 0.625 W. The sensor also showed good stability and short response-recovery time (3 s). Based on this sensor, the Random Forest algorithm reached 99% accuracy in identifying the kind of VOC vapors. This accuracy was made possible by the ability to generate several signals concurrently. The above gas-sensitive performance improvements were due to the polarized three-phase boundary"
Keywords:		VOC vapor classification artificial olfaction mixed-potential gas sensor polarization three-phase boundary;
Notes:		"PubMed-not-MEDLINEWang, Bin Zhang, Jianyu Wang, Tong Li, Weijia Lu, Qi Sun, Huaiyuan Huang, Lingchu Liang, Xishuang Liu, Fengmin Liu, Fangmeng Sun, Peng Lu, Geyu eng 2023/01/21 ACS Appl Mater Interfaces. 2023 Feb 1; 15(4):6047-6057. doi: 10.1021/acsami.2c17348. Epub 2023 Jan 20"