Abstract
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 OFETs, 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. © 2009 Elsevier B.V. All rights reserved.
Original language | English |
---|---|
Pages (from-to) | 365-372 |
Number of pages | 7 |
Journal | Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers |
Volume | 143 |
Issue number | 1 |
DOIs | |
Publication status | Published - 4 Dec 2009 |
Keywords
- Electronic nose
- Genetic programming
- Multiparametric
- OFET
- Pattern recognition
- Real-time
Fingerprint
Dive into the research topics of 'Real-time vapour sensing using an OFET-based electronic nose and genetic programming'. Together they form a unique fingerprint.Impacts
-
Organic Materials Innovation Centre (OMIC)
Michael Turner (Participant), Stephen Yeates (Participant), Colin Booth (Participant), Iain May (Participant), David Collison (Participant), David Procter (Participant) & Andromachi Malandraki (Participant)
Impact: Technological, Economic, Society and culture