期刊
SENSORS AND ACTUATORS B-CHEMICAL
卷 143, 期 1, 页码 365-372出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2009.09.030
关键词
OFET; Electronic nose; Genetic programming; Pattern recognition; Real-time; Multiparametric
资金
- UK Home Office
- Engineering and Physical Sciences Research Council [GR/S96685/01] Funding Source: researchfish
Electronic noses (e-noses) are increasingly being used as vapour sensors in a range of application areas. E-noses made up of arrays of organic field-effect transistors (OFETs) are particularly valuable due the range and diversity of the information which they provide concerning analyte binding. This study demonstrates that arrays of CFETs, when combined with a data analysis technique using Genetic Programming (GP), can selectively detect airborne analytes in real time. The use of multiple parameters - on resistance, off current and mobility - collected from multiple transistors coated with different semiconducting polymers gives dramatic improvements in the sensitivity (true positive rate), specificity (true negative rate) and speed of sensing. Computer-controlled data collection allows the identification of analytes in real-time, with a time-lag between exposure and detection of the order of 4 s. (C) 2009 Elsevier B.V. All rights reserved.
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