Real-time vapour sensing using an OFET-based                  electronic nose and genetic programming 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8612
- @Article{Wedge2009365,
- 
  author =       "David C. Wedge and Arindam Das and Rene Dost and 
Jeff Kettle and Marie-Beatrice Madec and 
John J. Morrison and Martin Grell and Douglas B. Kell and 
Tim H. Richardson and Stephen Yeates and Michael L. Turner",
- 
  title =        "Real-time vapour sensing using an OFET-based
electronic nose and genetic programming",
- 
  journal =      "Sensors and Actuators B: Chemical",
- 
  volume =       "143",
- 
  number =       "1",
- 
  pages =        "365--372",
- 
  year =         "2009",
- 
  keywords =     "genetic algorithms, genetic programming, OFET,
Electronic nose, Pattern recognition, Real-time,
Multiparametric",
- 
  ISSN =         "0925-4005",
- 
  DOI =          " 10.1016/j.snb.2009.09.030", 10.1016/j.snb.2009.09.030",
- 
  URL =          " http://www.sciencedirect.com/science/article/B6THH-4X97CWW-3/2/14db15f5516874fbcbbecdd36c5b9987", http://www.sciencedirect.com/science/article/B6THH-4X97CWW-3/2/14db15f5516874fbcbbecdd36c5b9987",
- 
  URL =          " http://results.ref.ac.uk/Submissions/Output/2859886", http://results.ref.ac.uk/Submissions/Output/2859886",
- 
  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 4s.",
- 
  uk_research_excellence_2014 = "D - Journal article",
- }
Genetic Programming entries for 
David C Wedge
Arindam Das
Rene Dost
Jeff Kettle
Marie-Beatrice Madec
John J Morrison
Martin Grell
Douglas B Kell
Tim H Richardson
Stephen Yeates
Michael L Turner
Citations
