• DocumentCode
    2123234
  • Title

    Virus directed assembly of receptor peptides for explosive sensing

  • Author

    Fan, Xiao Zhu ; Gerasopoulos, Konstantinos ; Brown, Adam ; Siwak, Nathan ; Culver, James ; Ghodssi, Reza

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2010
  • fDate
    1-4 Nov. 2010
  • Firstpage
    2629
  • Lastpage
    2633
  • Abstract
    Abstract-Protein engineering is a rich technology that can be used for chemical vapor detection applications. By utilizing the high specificity and programmability offered by genetic engineering of proteins, a highly selective receptor layer targeting trinitrotoluene (TNT) vapor is developed. This receptor layer consists of a scaffolding made of Tobacco mosaic virus (TMV), whose virus coat protein has been mutated to express cysteine residues and sequence specific peptides to enhance virus self-assembly and selective binding to TNT molecules, respectively. The virus-based receptor layer was assembled on to quartz crystal microbalances (QCMs) for TNT vapor sensing. A 300% increase in TNT attachment was observed on the receptor layer compared to an uncoated QCM. The mass resolution limit was determined to be 3.2ng, limited by the minimum resolution of the current setup. This development demonstrates the potential for programmable viruses to be used as a receptor layer template.
  • Keywords
    biochemistry; chemical sensors; explosives; genetic engineering; microbalances; microorganisms; molecular biophysics; proteins; self-assembly; QCM; TMV; TNT vapor sensing; chemical vapor detection application; explosive sensing; genetic engineering; protein engineering; quartz crystal microbalance; receptor peptide; selective binding; tobacco mosaic virus; trinitrotoluene vapor; virus directed assembly; virus-based receptor layer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2010 IEEE
  • Conference_Location
    Kona, HI
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-8170-5
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2010.5690229
  • Filename
    5690229