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Type: Artigo de periódico
Title: Fourier transform infrared microspectroscopy as a bacterial source tracking tool to discriminate fecal E. coli strains
Author: Carlos, C
Maretto, DA
Poppi, RJ
Sato, MIZ
Ottoboni, LMM
Abstract: The aim of this work was to use the FT-IR microspectroscopy technique, a union of a FT-IR spectrometer with a microscope, to discriminate fecal Escherichia coli strains from cows, chickens and humans and to compare the efficiency of this method with the genomic fingerprinting method, BOX-PCR. The obtained BOX-PCR profiles were able to correctly discriminate 93.75% of the chicken strains, 80% of the cow strains and 65% of the human strains. An efficient PLS-DA model was developed, using orthogonal signal correction and the second derivate of the FT-IR spectra. This model allowed the correct discrimination, according to the animal source, of all the E. coil strains analyzed. The bands in the FT-IR spectra that were responsible for the strains discrimination were in the region between 2816 and 3026 cm(-1) wavenumber, described as fatty acids. It was demonstrated that FT-IR microspectroscopy can be a suitable tool for fecal E. coil discrimination, because it is fast, easy to carry out and presents a flexible discrimination power. (C) 2011 Elsevier B.V. All rights reserved.
Subject: Bacterial source tracking
Escherichia coli
Fourier transform infrared microspectroscopy
Country: Holanda
Editor: Elsevier Science Bv
Citation: Microchemical Journal. Elsevier Science Bv, v. 99, n. 1, n. 15, n. 19, 2011.
Rights: fechado
Identifier DOI: 10.1016/j.microc.2011.03.002
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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