文献类型：期刊文献

中文题名：Overcoming the Limits of Cross-Sensitivity:Pattern Recognition Methods for Chemiresistive Gas Sensor Array

作者：Haixia Mei[1];Jingyi Peng[1];Tao Wang[2];Tingting Zhou[4];Hongran Zhao[4];Tong Zhang[4];Zhi Yang[3]

机构：[1]Key Lab Intelligent Rehabil&Barrier Free Disable(Ministry of Education),Changchun University,Changchun 130022,People’s Republic of China;[2]Shanghai Key Laboratory of Intelligent Sensing and Detection Technology,School of Mechanical and Power Engineering,East China University of Science and Technology,Shanghai 200237,People’s Republic of China;[3]National Key Laboratory of Advanced Micro and Nano Manufacture Technology,Department of Micro/Nano Electronics,School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,People’s Republic of China;[4]State Key Laboratory of Integrated Optoelectronics,College of Electronic Science and Engineering,Jilin University,Changchun 130012,People’s Republic of China

年份：2024

卷号：16

期号：12

起止页码：285

中文期刊名：Nano-Micro Letters

外文期刊名：纳微快报（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2023_2024】；PubMed;

基金：supported by the National Key Research and Development Program of China(2021YFB3200400);the National Natural Science Foundation of China(62371299,62301314,and 62020106006);the China Postdoctoral Science Foundation(2023M732198).

语种：英文

中文关键词：Pattern recognition;Sensor array;Chemiresistive gas sensor;Cross-sensitivity;Artificial olfactory

摘要：As information acquisition terminals for artificial olfaction,chemiresistive gas sensors are often troubled by their cross-sensitivity,and reducing their cross-response to ambient gases has always been a difficult and important point in the gas sensing area.Pattern recognition based on sensor array is the most conspicuous way to overcome the cross-sensitivity of gas sensors.It is crucial to choose an appropriate pattern recognition method for enhancing data analysis,reducing errors and improving system reliability,obtaining better classification or gas concentration prediction results.In this review,we analyze the sensing mechanism of crosssensitivity for chemiresistive gas sensors.We further examine the types,working principles,characteristics,and applicable gas detection range of pattern recognition algorithms utilized in gas-sensing arrays.Additionally,we report,summarize,and evaluate the outstanding and novel advancements in pattern recognition methods for gas identification.At the same time,this work showcases the recent advancements in utilizing these methods for gas identification,particularly within three crucial domains:ensuring food safety,monitoring the environment,and aiding in medical diagnosis.In conclusion,this study anticipates future research prospects by considering the existing landscape and challenges.It is hoped that this work will make a positive contribution towards mitigating cross-sensitivity in gas-sensitive devices and offer valuable insights for algorithm selection in gas recognition applications.