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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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 =          "doi:10.1016/j.snb.2009.09.030",
  URL =          "http://www.sciencedirect.com/science/article/B6THH-4X97CWW-3/2/14db15f5516874fbcbbecdd36c5b9987",
  URL =          "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