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Classification of lactic acid bacteria with UV‐resonance Raman spectroscopy
Author(s) -
Gaus K.,
Rösch P.,
Petry R.,
Peschke K.D.,
Ronneberger O.,
Burkhardt H.,
Baumann K.,
Popp J.
Publication year - 2006
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.20448
Subject(s) - streptococcus thermophilus , lactobacillus acidophilus , chemistry , principal component analysis , preprint , linear discriminant analysis , support vector machine , lactic acid , lactobacillus , resonance raman spectroscopy , raman spectroscopy , artificial intelligence , bacteria , pattern recognition (psychology) , computational biology , food science , computer science , biology , fermentation , physics , world wide web , probiotic , optics , genetics
UV‐resonance Raman spectroscopy is applied as a method for the identification of lactic acid bacteria from yogurt. Eight different strains of bacteria from Lactobacillus acidophilus , L. delbrueckii ssp. bulgaricus, and Streptococcus thermophilus were investigated. At an excitation wavelength of 244 nm signals from nucleic acids and proteins are selectively enhanced. Classification was accomplished using different chemometric methods. In a first attempt, the unsupervised methods hierarchical cluster analysis and principal component analysis were applied to investigate natural grouping in the data. In a second step the spectra were analyzed using several supervised methods: K‐nearest neighbor classifier, nearest mean classifier, linear discriminant analysis, and support vector machines. © 2006 Wiley Periodicals, Inc. Biopolymers 82: 286–290, 2006 This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com