• DocumentCode
    1897573
  • Title

    Unique molecular identification using two-dimensional response

  • Author

    Koley, Goutam ; Qazi, Muhammad

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    823
  • Lastpage
    826
  • Abstract
    Nanostructured graphite (NG) layer prepared through mechanical abrasion on a variety of substrates has been investigated as a highly sensitive, versatile, and low-cost sensing material. NO2 concentration down to 60 ppb was detected in ambient conditions using the NG layer. Simultaneous conductance (G) and surface work function (phi) change transients measured using the NG layer indicated much faster response for the later, which is attributed to its dependence solely on molecular adsorption at the surface. Simultaneous measurements of these two parameters have been performed to detect several gaseous analyte molecules, and it was observed that the gradient of Deltaphi versus DeltaG/G0 plot for a specific analyte molecule is constant irrespective of its concentration or fractional occupancy of the surface adsorption sites. Changes in phi and G were found to be uncorrelated for different molecules resulting in unique gradients that can be used as 2-dimensional signatures for molecular identification.
  • Keywords
    abrasion; nanosensors; change transients; molecular adsorption; molecular identification; nanostructured graphite; surface adsorption sites; surface work function; two-dimensional response; Conducting materials; Gas detectors; Gases; Nanostructured materials; Performance analysis; Performance evaluation; Resonance; Sensor phenomena and characterization; Substrates; Transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2008 IEEE
  • Conference_Location
    Lecce
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-2580-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2008.4716567
  • Filename
    4716567