Fluctuation enhanced sensing (FES) with a nanostructured, semiconducting metal oxide film for gas detection and classification

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• 作者：Bulent Ayhan ; Chiman Kwan ; Jin Zhou ; Laszlo B. Kish ; Kurt D. Benkstein ; Phillip H. Rogers ; Steve Semancik
• 关键词：Chemiresistive ; Fluctuation-enhanced sensing ; Gas detection ; Gas classification ; Linear Discriminant Analysis ; Support Vector Machine
• 刊名：Sensors and Actuators B: Chemical
• 出版年：2013
• 出版时间：November, 2013
• 年：2013
• 卷：188
• 期：Complete
• 页码：651-660
• 全文大小：1885 K

文摘

The feasibility of fluctuation-enhanced sensing (FES) for the detection and classification of different gases using a single chemiresistive microsensor has been investigated through experimental measurements and data analyses. A nanostructured semiconducting metal oxide film has been used as a chemiresistive sensor in the experiments. Similarity fingerprints have been introduced to be used with the FES signatures, and combining similarity fingerprints with slope fingerprints results in a considerable increase in the classification accuracy attained by both Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) classification techniques.