• DocumentCode
    307343
  • Title

    A chemically diverse, conducting polymer-based “electronic noise”

  • Author

    Lewis, N.

  • Volume
    3
  • fYear
    1997
  • fDate
    1-8 Feb 1997
  • Abstract
    We describe a method for generating a variety of chemically diverse, broadly responsive, low power vapor sensors. A key to our ability to fabricate chemically diverse sensing elements is the preparation of processable, air stable films of electrically conducting organic polymers. An array of such sensing elements produces a chemically reversible, diagnostic pattern of electrical resistance changes upon exposure to different odorants. Such conducting polymer elements are simply prepared and are readily modified chemically to respond to a broad range of analytes. In addition, these sensors yield a fairly rapid, low power, dc electrical signal in response to the vapor of interest, and their signals are readily integrated with software or hardware-based neural networks for purposes of analyte identification. Principle component analysis has demonstrated that such sensors can identify and quantify different airborne organic solvents, and can yield information on the components of gas mixtures
  • Keywords
    atmospheric composition; atmospheric measuring apparatus; computerised instrumentation; conducting polymers; electric sensing devices; gas sensors; neural nets; air stable films; airborne organic solvents; analyte identification; chemically reversible diagnostic pattern; component analysis; conducting polymer; dc electrical signal; electrical resistance; electrically conducting organic polymers; electronic noise; gas mixtures; low power vapor sensors; neural networks; sensing elements; Chemical analysis; Chemical elements; Chemical processes; Chemical sensors; Conductive films; Organic chemicals; Polymer films; Power generation; Sensor phenomena and characterization; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 1997. Proceedings., IEEE
  • Conference_Location
    Snowmass at Aspen, CO
  • Print_ISBN
    0-7803-3741-7
  • Type

    conf

  • DOI
    10.1109/AERO.1997.574847
  • Filename
    574847