Real-time vapour sensing using an OFET-based electronic nose and genetic programming

David C. Wedge; Arindam Das; René Dost; Jeff Kettle; Marie Beatrice Madec; John J. Morrison; Martin Grell; Douglas B. Kell; Tim H. Richardson; Stephen Yeates; Michael L. Turner

doi:10.1016/j.snb.2009.09.030

Real-time vapour sensing using an OFET-based electronic nose and genetic programming

David C. Wedge, Arindam Das, René Dost, Jeff Kettle, Marie Beatrice Madec, John J. Morrison, Martin Grell, Douglas B. Kell, Tim H. Richardson, Stephen Yeates, Michael L. Turner

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.1016/j.snb.2009.09.030
Publication status	Published - 4 Dec 2009

Keywords

Electronic nose
Genetic programming
Multiparametric
OFET
Pattern recognition
Real-time

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10.1016/j.snb.2009.09.030

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

Cite this

Wedge, D. C., Das, A., Dost, R., Kettle, J., Madec, M. B., Morrison, J. J., Grell, M., Kell, D. B., Richardson, T. H., Yeates, S., & Turner, M. L. (2009). Real-time vapour sensing using an OFET-based electronic nose and genetic programming. Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers, 143(1), 365-372. https://doi.org/10.1016/j.snb.2009.09.030

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title = "Real-time vapour sensing using an OFET-based electronic nose and genetic programming",

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. {\textcopyright} 2009 Elsevier B.V. All rights reserved.",

keywords = "Electronic nose, Genetic programming, Multiparametric, OFET, Pattern recognition, Real-time",

author = "Wedge, {David C.} and Arindam Das and Ren{\'e} Dost and Jeff Kettle and Madec, {Marie Beatrice} and Morrison, {John J.} and Martin Grell and Kell, {Douglas B.} and Richardson, {Tim H.} and Stephen Yeates and Turner, {Michael L.}",

note = "We thank the UK Home Office for supporting this work through the project {\textquoteleft}Low Cost Sensor Arrays Using Organic Semiconductors{\textquoteright}.",

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Wedge, DC, Das, A, Dost, R, Kettle, J, Madec, MB, Morrison, JJ, Grell, M, Kell, DB, Richardson, TH, Yeates, S & Turner, ML 2009, 'Real-time vapour sensing using an OFET-based electronic nose and genetic programming', Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers, vol. 143, no. 1, pp. 365-372. https://doi.org/10.1016/j.snb.2009.09.030

Real-time vapour sensing using an OFET-based electronic nose and genetic programming. / Wedge, David C.; Das, Arindam; Dost, René et al.

In: Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers, Vol. 143, No. 1, 04.12.2009, p. 365-372.

Research output: Contribution to journal › Article › peer-review

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T1 - Real-time vapour sensing using an OFET-based electronic nose and genetic programming

AU - Wedge, David C.

AU - Das, Arindam

AU - Dost, René

AU - Kettle, Jeff

AU - Madec, Marie Beatrice

AU - Morrison, John J.

AU - Grell, Martin

AU - Kell, Douglas B.

AU - Richardson, Tim H.

AU - Yeates, Stephen

AU - Turner, Michael L.

N1 - We thank the UK Home Office for supporting this work through the project ‘Low Cost Sensor Arrays Using Organic Semiconductors’.

PY - 2009/12/4

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AB - 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.

KW - Electronic nose

KW - Genetic programming

KW - Multiparametric

KW - OFET

KW - Pattern recognition

KW - Real-time

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DO - 10.1016/j.snb.2009.09.030

M3 - Article

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SP - 365

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JO - Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers

JF - Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers

SN - 0925-4005

IS - 1

ER -

Real-time vapour sensing using an OFET-based electronic nose and genetic programming

Abstract

Keywords

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Organic Materials Innovation Centre (OMIC)

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