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
Link To Document :
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