• DocumentCode
    381797
  • Title

    Vapor detection, classification, and quantification performance using arrays of conducting polymer composite chemically sensitive resistors

  • Author

    Briglin, Shawn M. ; Freund, Michael S. ; Sisk, Brian C. ; Lewis, Nathan S.

  • Author_Institution
    Noyes Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    727
  • Abstract
    Describes 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. Principal 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
    conducting polymers; electric sensing devices; filled polymers; gas sensors; neural nets; principal component analysis; resistors; sensor fusion; airborne organic solvents; array; chemically sensitive resistors; conducting polymer composite; dc electrical signal; diagnostic pattern; electrical resistance changes; gas mixtures; neural networks; odorants; principal component analysis; quantification performance; vapor detection; Chemical analysis; Chemical elements; Chemical processes; Chemical sensors; Organic chemicals; Polymer films; Power generation; Resistors; Sensor phenomena and characterization; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2002. Proceedings of IEEE
  • Print_ISBN
    0-7803-7454-1
  • Type

    conf

  • DOI
    10.1109/ICSENS.2002.1037193
  • Filename
    1037193