• DocumentCode
    1421259
  • Title

    Separating Chemical Signals of Adsorption– Desorption and Diffusive Processes

  • Author

    Schmera, Gabor ; Gingl, Zoltan ; Kish, Laszlo B. ; Ayhan, Bulent ; Kwan, Chiman ; Granqvist, Claes-Göran

  • Author_Institution
    Space & Naval Warfare Syst. Center, San Diego, CA, USA
  • Volume
    10
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    461
  • Lastpage
    464
  • Abstract
    We present a new sensor signal processing method that improves selectivity, sensitivity, and processing speed in systems, using fluctuation-enhanced sensing. We consider the output signal of a symmetric two-sensor arrangement and generate two independent output spectra by separating the adsorption-desorption signal component from the diffusion signal component. We demonstrate the key features of our method by computer modeling and simulation.
  • Keywords
    Monte Carlo methods; adsorption; desorption; source separation; adsorption-desorption; chemical signals; diffusive processes; fluctuation-enhanced sensing; sensor signal processing method; signal separation; Acoustic sensors; Acoustical engineering; Chemical analysis; Chemical processes; Chemical sensors; Fluctuations; Signal processing; Solid state circuits; Stochastic resonance; Surface acoustic wave devices; Adsorption–desorption; diffusion; fluctuation-enhanced sensing (FES); signal separation;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2038538
  • Filename
    5416597