Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model

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• 作者：Dongzhi Zhang ; ^{dzzhang@upc.edu.cn}Author Vitae ; Jingjing LiuAuthor Vitae ; Chuanxing JiangAuthor Vitae ; Aiming LiuAuthor Vitae ; Bokai XiaAuthor Vitae
• 关键词：Sensor array ; Graphene ; Layer-by-layer self-assembly ; Neural network model
• 刊名：Sensors and Actuators B: Chemical
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：240
• 期：Complete
• 页码：55-65
• 全文大小：4326 K
• 卷排序：240

文摘

Metal oxide (MOx)-decorated graphene-based sensor array was presented. Sensing properties of MOx/graphene composite toward ammonia and formaldehyde were investigated. Neural network-based model was used for the detection of formaldehyde and ammonia mixture.