• DocumentCode
    2248893
  • Title

    Raman spectroscopic approach for the cultivation-free identification of microbes

  • Author

    Rösch, Petra ; Stöckel, Stephan ; Meisel, Susann ; Münchberg, Ute ; Kloss, Sandra ; Kusic, Dragana ; Schumacher, Wilm ; Popp, Jürgen

  • Author_Institution
    Inst. of Phys. Chem., Friedrich-Schiller-Univ. Jena, Jena, Germany
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the last years the identification of microorganisms by means of different IR and Raman spectroscopic techniques has become quite popular. Most of the studies however apply the various vibrational spectroscopic methods to bulk samples which require at least a short cultivation time of several hours. Nevertheless, bulk identification methods achieve high classification rates which enable even the discrimination between closely related strains or the distinction between resistance capabilities. However, applying micro-Raman spectroscopy with visible excitation wavelengths enables for the detection of single microorganisms. Especially for time critical process like the fast diagnosis of severe diseases or the identification of bacterial contamination on food samples or pharmaceuticals, a cultivation-free identification of bacteria is required. In doing so, we established different isolation techniques in combination with Raman spectroscopic identification. Isolating bacteria from different matrixes always has an impact on the Raman spectroscopic identification capability. Therefore, these isolation techniques have to be specially designed to fulfill the spectroscopic requirements. In total the method should enable the identification of pathogens within the first 3 hours.
  • Keywords
    Raman spectra; biological techniques; cellular biophysics; diseases; microorganisms; spectrochemical analysis; IR spectroscopy; Raman spectroscopic approach; Raman spectroscopic identification capability; bacterial contamination; cultivation-free identification; disease diagnosis; food samples; isolation techniques; microRaman spectroscopy; microbes; microorganisms; pathogen identification; pharmaceuticals; vibrational spectroscopic methods; visible excitation wavelengths; Abstracts; Microorganisms; Raman spectroscopy; bacterial identification; chemometric analysis; isolation; particle localization; single cell analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
  • Conference_Location
    Shanghai
  • ISSN
    2162-108X
  • Print_ISBN
    978-0-8194-8961-6
  • Type

    conf

  • DOI
    10.1117/12.901241
  • Filename
    6210894