Literature DB >> 16421858

Classification of lactic acid bacteria with UV-resonance Raman spectroscopy.

K Gaus1, P Rösch, R Petry, K-D Peschke, O Ronneberger, H Burkhardt, K Baumann, J Popp.   

Abstract

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. (c) 2006 Wiley Periodicals, Inc.

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Mesh:

Year:  2006        PMID: 16421858     DOI: 10.1002/bip.20448

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  10 in total

1.  Raman spectroscopy-compatible inactivation method for pathogenic endospores.

Authors:  S Stöckel; W Schumacher; S Meisel; M Elschner; P Rösch; J Popp
Journal:  Appl Environ Microbiol       Date:  2010-03-05       Impact factor: 4.792

2.  Discrimination of wine lactic acid bacteria by Raman spectroscopy.

Authors:  Susan B Rodriguez; Mark A Thornton; Roy J Thornton
Journal:  J Ind Microbiol Biotechnol       Date:  2017-04-24       Impact factor: 3.346

3.  Surface enhanced Raman spectroscopy (SERS) for the discrimination of Arthrobacter strains based on variations in cell surface composition.

Authors:  Kate E Stephen; Darren Homrighausen; Glen DePalma; Cindy H Nakatsu; Joseph Irudayaraj
Journal:  Analyst       Date:  2012-07-30       Impact factor: 4.616

4.  Raman spectroscopy and chemometrics for identification and strain discrimination of the wine spoilage yeasts Saccharomyces cerevisiae, Zygosaccharomyces bailii, and Brettanomyces bruxellensis.

Authors:  Susan B Rodriguez; Mark A Thornton; Roy J Thornton
Journal:  Appl Environ Microbiol       Date:  2013-08-02       Impact factor: 4.792

5.  Optical Biosensing of Bacteria and Bacterial Communities.

Authors:  Jiayun Hu; Paul W Bohn
Journal:  J Anal Test       Date:  2017-02-06

6.  A study of Docetaxel-induced effects in MCF-7 cells by means of Raman microspectroscopy.

Authors:  Katharina Hartmann; Melanie Becker-Putsche; Thomas Bocklitz; Katharina Pachmann; Axel Niendorf; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2012-03-08       Impact factor: 4.142

Review 7.  Applications of Infrared and Raman Spectroscopies to Probiotic Investigation.

Authors:  Mauricio I Santos; Esteban Gerbino; Elizabeth Tymczyszyn; Andrea Gomez-Zavaglia
Journal:  Foods       Date:  2015-07-17

8.  Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy.

Authors:  Amir Nakar; Aikaterini Pistiki; Oleg Ryabchykov; Thomas Bocklitz; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2022-01-04       Impact factor: 4.142

9.  Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis.

Authors:  Alia Colniță; Nicoleta Elena Dina; Nicolae Leopold; Dan Cristian Vodnar; Diana Bogdan; Sebastian Alin Porav; Leontin David
Journal:  Nanomaterials (Basel)       Date:  2017-09-01       Impact factor: 5.076

10.  Characterizing glucose, illumination, and nitrogen-deprivation phenotypes of Synechocystis PCC6803 with Raman spectroscopy.

Authors:  Imen Tanniche; Eva Collakova; Cynthia Denbow; Ryan S Senger
Journal:  PeerJ       Date:  2020-03-30       Impact factor: 2.984

  10 in total

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