• DocumentCode
    1892247
  • Title

    Classification of endospores of Bacillus and Clostridium species by FT-IR reflectance microspectroscopy and autoclaving

  • Author

    Perkins, D.L. ; Lovell, C.R. ; Bronk, B.V. ; Setlow, B. ; Setlow, P. ; Myrick, M.L.

  • Author_Institution
    Dept. of Chem. & Biochem., South Carolina Univ., Columbia, SC, USA
  • fYear
    2005
  • fDate
    29-30 March 2005
  • Firstpage
    81
  • Lastpage
    87
  • Abstract
    Fourier transform infrared reflectance microspectroscopy was applied to the classification of bacterial endospores, both untreated and those pretreated with autoclaving. Mid-infrared vibrational spectra were collected following minimal sample preparation from endospores of five species of bacteria: Bacillus cereus, Bacillus globigii, Bacillus megaterium, Bacillus subtilis, and Clostridium perfringens. The amide I and amide II regions were found to provide the best classification of the native spores. For autoclaved bacterial spores, the N-H and C-H stretching regions (2700-3500 cm-1) were found to be useful for classification. Autoclaving endospores also augmented the classification of untreated endospores in the same region. Speciation of these microorganisms was accomplished by application of principal component analysis (PCA), hierarchical cluster analysis (HCA), and soft independent method of class analogy (SIMCA). The methods described can potentially be applied by homeland security personnel to screen for pathogenic microorganisms.
  • Keywords
    Fourier transform spectroscopy; infrared spectroscopy; medical signal processing; microorganisms; optical information processing; pattern clustering; principal component analysis; Bacillus cereus; Bacillus globigii; Bacillus megaterium; Bacillus subtilis; Clostridium perfringens; FT-IR reflectance microspectroscopy; Fourier transform infrared reflectance microspectroscopy; Fourier transform spectroscopy; PCA; amide regions; autoclaved bacterial spores; bacterial endospore classification; hierarchical cluster analysis; mid-infrared vibrational spectra; pathogenic microorganisms; principal component analysis; soft independent method of class analogy; Chemistry; Fourier transforms; Fungi; Infrared spectra; Instruments; Mass spectroscopy; Microorganisms; Pathogens; Principal component analysis; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement Systems for Homeland Security, Contraband Detection and Personal Safety Workshop, 2005. (IMS 2005) Proceedings of the 2005 IEEE International Workshop on
  • Print_ISBN
    0-7803-9121-7
  • Type

    conf

  • DOI
    10.1109/MSHS.2005.1502561
  • Filename
    1502561