| Full text | |
| Author(s): |
Carlos, Camila
[1]
;
Maretto, Danilo A.
[2]
;
Poppi, Ronei J.
[2]
;
Sato, Maria Ines Z.
[3]
;
Ottoboni, Laura M. M.
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ Estadual Campinas, UNICAMP, Ctr Biol Mol & Engn Genet, BR-13083875 Campinas, SP - Brazil
[2] Univ Estadual Campinas, UNICAMP, Inst Quim, BR-13084971 Campinas, SP - Brazil
[3] Co Tecnol Saneamento Ambiental, BR-05489900 Sao Paulo - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | Microchemical Journal; v. 99, n. 1, p. 15-19, 2011. |
| Web of Science Citations: | 9 |
| 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. (C) 2011 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 06/07309-3 - Novel analytical strategies for studies involving biomolecules |
| Grantee: | Elias Ayres Guidetti Zagatto |
| Support Opportunities: | Research Projects - Thematic Grants |