Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System

doi:10.1021/acssensors.1c01704

	Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System
	Liu, Hongyu 4,6; Meng, Gang 2,5; Deng, Zanhong 2,5; Nagashima, Kazuki 3; Wang, Shimao 2,5; Dai, Tiantian 2,5; Li, Liang 1; Yanagida, Takeshi 3; Fang, Xiaodong 6
刊名	ACS SENSORS
	2021-11-26
卷号	6
关键词	BTX molecules xylene isomer classification temperature modulation deep learning algorithm smart sensing system
ISSN号	2379-3694
DOI	10.1021/acssensors.1c01704
通讯作者	Meng, Gang(mengggang@aiofm.ac.cn) ; Li, Liang(lli@suda.edu.cn) ; Fang, Xiaodong(fangxiaodong@sztu.edu.cn)
英文摘要	Discriminating structurally similar volatile organic compounds (VOCs) molecules, such as benzene, toluene, and three xylene isomers (BTX), remains a significant challenge, especially, for metal oxide semiconductor (MOS) sensors, in which selectivity is a long-standing challenge. Recent progress indicates that temperature modulation of a single MOS sensor offers a powerful route in extracting the features of adsorbed gas analytes than conventional isothermal operation. Herein, a rectangular heating waveform is applied on NiO-, WO3-, and SnO(2)(-)based sensors to gradually activate the specific gas/oxide interfacial redox reaction and generate rich (electrical) features of adsorbed BTX molecules. Upon several signal preprocessing steps, the intrinsic feature of BTX molecules can be extracted by the linear discrimination analysis (LDA) or convolutional neural network (CNN) analysis. The combination of three distinct MOS sensors noticeably benefits the recognition accuracy (with a reduced number of training iterations). Finally, a prototype of a smart BTX recognition system (including sensing electronics, sensors, Wi-Fi module, UI, PC, etc.) based on temperature modulation has been explored, which enables a prompt, accurate, and stable identification of xylene isomers in the ambient air background and raises the hope of innovating the future advanced machine olfactory system.
资助项目	National Natural Science Foundation of China[52025028] ; National Natural Science Foundation of China[11674324] ; National Natural Science Foundation of China[62075223] ; Natural Science Foundation of Top Talent of SZTU[2020101] ; CAS-JSPS Joint Research Projects[GJHZ1891] ; CAS Pioneer Hundred Talents Program from Chinese Academy of Sciences
WOS关键词	XYLENE ; TOLUENE ; BENZENE ; TEMPERATURE ; PERFORMANCE ; ARRAY
WOS研究方向	Chemistry ; Science & Technology - Other Topics
语种	英语
出版者	AMER CHEMICAL SOC
WOS记录号	WOS:000755689100032
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Top Talent of SZTU ; CAS-JSPS Joint Research Projects ; CAS Pioneer Hundred Talents Program from Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/127618]
专题	中国科学院合肥物质科学研究院
通讯作者	Meng, Gang; Li, Liang; Fang, Xiaodong
作者单位	1.Soochow Univ, Sch Phys Sci & Technol, Jiangsu Key Lab Thin Films, Ctr Energy Convers Mat & Phys CECMP, Suzhou 215006, Peoples R China 2.Chinese Acad Sci, Key Lab Photovolta & Energy Conservat Mat, Hefei 230031, Peoples R China 3.Univ Tokyo, Grad Sch Engn, Dept Appl Chem, Tokyo 1138656, Japan 4.Shenzhen Univ, Sch Biomed Engn, Guangdong Key Lab Biomed Measurements & Ultrasoun, Hlth Sci Ctr, Shenzhen 518060, Peoples R China 5.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China 6.Shenzhen Technol Univ, Coll New Mat & New Energies, Shenzhen 518118, Peoples R China
推荐引用方式 GB/T 7714	Liu, Hongyu,Meng, Gang,Deng, Zanhong,et al. Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System[J]. ACS SENSORS,2021,6.
APA	Liu, Hongyu.,Meng, Gang.,Deng, Zanhong.,Nagashima, Kazuki.,Wang, Shimao.,...&Fang, Xiaodong.(2021).Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System.ACS SENSORS,6.
MLA	Liu, Hongyu,et al."Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System".ACS SENSORS 6(2021).