• DocumentCode
    1779560
  • Title

    Detection of pathogenic bacteria using immunofiltration and lightscribe technology

  • Author

    Sacco, N.J. ; Corton, E. ; Avella-Oliver, M. ; Morais, S. ; Puchades, R. ; Maquieira, A.

  • Author_Institution
    Fac. de Cienc. Exactas y Naturales, Dept. de Quim. Biol., IQUIBICEN, Univ. de Buenos Aires, Buenos Aires, Argentina
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The detection of pathogenic bacteria is key for the identification and prevention and of problems related to health and safety. Accurate and quick detection and quantification of pathogen microorganisms in food, drinking water and in clinical diagnostics using cost-effective methodologies are greatest challenges currently facing food industry, health and environmental fields. A rapid and sensitive biosensor, based on immunological methods, was developed for bacteria detection using LightScribe disc as platform. We are able to detect between 0 and 106 CFU/mL in only 1.5 hours without the need for sample pre-concentration. The cross-reactivity study and individual ready-to-eat meat samples were inoculated with live bacteria to demonstrate proof-of-concept for real samples.
  • Keywords
    biological techniques; biosensors; filtration; food products; health and safety; microorganisms; LightScribe disc technology; biosensor; clinical diagnostics; drinking water; environmental field; food industry; health and safety; immunofiltration technology; immunological method; pathogen microorganism; pathogenic bacteria detection; ready-to-eat meat sample; time 1.5 hour; Biomembranes; Biosensors; Diseases; Food industry; Immune system; Microorganisms; Protocols; LightScribe; foodborne disease; microorganisms immunology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors (IBERSENSOR), 2014 IEEE 9th Ibero-American Congress on
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4799-6835-0
  • Type

    conf

  • DOI
    10.1109/IBERSENSOR.2014.6995508
  • Filename
    6995508