Fourier transform infrared microspectroscopy as a bacterial source tracking tool to discriminate fecal E. coli strains |
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Authors: | Camila Carlos Ronei J Poppi Maria Inês Z Sato |
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Institution: | a Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, UNICAMP, CP 6010, 13083-875 Campinas, SP, Brazilb Instituto de Química, Universidade Estadual de Campinas, UNICAMP, CP 6154, 13084-971 Campinas, SP, Brazilc Companhia de Tecnologia de Saneamento Ambiental, Av. Prof. Frederico Hermann Jr 345, 05489-900 São Paulo, SP, Brazil |
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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 3026 cm−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. |
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Keywords: | Bacterial source tracking Escherichia coli BOX-PCR Fourier transform infrared microspectroscopy |
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