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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 D.A.
Poppi R.J.
Sato M.I.Z.
Ottoboni L.M.M.
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. coli strains analyzed. The bands in the FT-IR spectra that were responsible for the strains discrimination were in the region between 2816 and 3026cm -1 wavenumber, described as fatty acids. It was demonstrated that FT-IR microspectroscopy can be a suitable tool for fecal E. coli discrimination, because it is fast, easy to carry out and presents a flexible discrimination power. © 2011 Elsevier B.V.
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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