• DocumentCode
    2496086
  • Title

    Chemical Sensors Based on Funstionalized Microcantilever Arrays

  • Author

    Datskos, P.G. ; Lavrik, N.V. ; Sepaniak, M.J. ; Dutta, P.

  • Author_Institution
    Oak Ridge Nat. Lab., Oak Ridge
  • fYear
    2006
  • fDate
    22-25 Oct. 2006
  • Firstpage
    862
  • Lastpage
    867
  • Abstract
    Over the past three decades there have been spectacular developments in micro-electro-mechanical (MEMS) systems. As a result, an innovative family of chemical and biological sensors has emerged. While MEMS represents a diverse family of designs, devices with simple cantilever configurations are especially attractive as transducers for chemical and biological sensors. In this work we discuss chemical sensors based on cantilever arrays functionalized with synthetic responsive phases. In order to analyze multiplexed responses of the cantilever array, we used an artificial neural network (ANN) algorithm. This approach allowed us not only to recognize the individual analytes and binary mixtures, but also to determine the concentration of individual components in a mixture.
  • Keywords
    cantilevers; chemical sensors; micromechanical devices; mixtures; neural nets; MEMS; analyte recognition; artificial neural network algorithm; binary mixture; chemical sensor; microcantilever array; microelectromechanical systems; Acoustic transducers; Algorithm design and analysis; Artificial neural networks; Chemical and biological sensors; Chemical elements; Chemical sensors; Chemical transducers; Micromechanical devices; Phased arrays; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2006. 5th IEEE Conference on
  • Conference_Location
    Daegu
  • ISSN
    1930-0395
  • Print_ISBN
    1-4244-0375-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2007.355604
  • Filename
    4178756