• DocumentCode
    3043680
  • Title

    DNA-Decorated Carbon Nanotubes as Sensitive Layer for AlN Contour-Mode Resonant-MEMS Gravimetric Sensor

  • Author

    Zuniga, C. ; Rinaldi, M. ; Khamis, S.M. ; Jones, T.S. ; Johnson, A.T. ; Piazza, G.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA
  • fYear
    2009
  • fDate
    25-29 Jan. 2009
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    In this work a nano-enabled gravimetric chemical sensor prototype based on single-stranded DNA (ss-DNA) decorated single-walled carbon nanotubes (SWNT) as nano-functionalization layer for Aluminun Nitride (AIN) contour-mode resonant-MEMS gravimetric sensors has been demonstrated. Two resonators fabricated on the same silicon chip and operating at different resonance frequencies, 287 and 450 MHz, were functionalized with this novel bio-coating layer to experimentally prove the capability of two distinct single strands of DNA bound to SWNT to enhance differently the adsorption of volatile organic compounds such as dinitroluene (DNT, simulant for explosive vapor) and dymethyl-methylphosphonate (DMMP, a simulant for nerve agent sarin). The introduction of this bio-coating layer addresses the major drawbacks of recovery time (50% recovery in less than 29 seconds has been achieved) and lack of selectivity associated with gas sensor based on polymers and pristine carbon nanotube functionalization layers.
  • Keywords
    carbon nanotubes; chemical sensors; density measurement; DNA; carbon nanotubes; contour-mode resonant-MEMS gravimetric sensor; nano-enabled gravimetric chemical sensor prototype; sensitive layer; Biosensors; Carbon nanotubes; Chemical and biological sensors; Chemical sensors; DNA; Prototypes; Resonance; Resonant frequency; Silicon; Volatile organic compounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro Electro Mechanical Systems, 2009. MEMS 2009. IEEE 22nd International Conference on
  • Conference_Location
    Sorrento
  • ISSN
    1084-6999
  • Print_ISBN
    978-1-4244-2977-6
  • Electronic_ISBN
    1084-6999
  • Type

    conf

  • DOI
    10.1109/MEMSYS.2009.4805383
  • Filename
    4805383