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Journal of Biomedical Optics

Discrimination of selected species of pathogenic bacteria using near-infrared Raman spectroscopy and principal components analysis
Author(s): Fernanda S. de Siqueira Oliveira; Hector E. Giana; Landulfo Silveira
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Paper Abstract

A method, based on Raman spectroscopy, for identification of different microorganisms involved in bacterial urinary tract infections has been proposed. Spectra were collected from different bacterial colonies (Gram-negative: Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa and Enterobacter cloacae, and Gram-positive: Staphylococcus aureus and Enterococcus spp.), grown on culture medium (agar), using a Raman spectrometer with a fiber Raman probe (830 nm). Colonies were scraped from the agar surface and placed on an aluminum foil for Raman measurements. After preprocessing, spectra were submitted to a principal component analysis and Mahalanobis distance (PCA/MD) discrimination algorithm. We found that the mean Raman spectra of different bacterial species show similar bands, and S. aureus was well characterized by strong bands related to carotenoids. PCA/MD could discriminate Gram-positive bacteria with sensitivity and specificity of 100% and Gram-negative bacteria with sensitivity ranging from 58 to 88% and specificity ranging from 87% to 99%.

Paper Details

Date Published: 9 October 2012
PDF: 8 pages
J. Biomed. Opt. 17(10) 107004 doi: 10.1117/1.JBO.17.10.107004
Published in: Journal of Biomedical Optics Volume 17, Issue 10
Show Author Affiliations
Fernanda S. de Siqueira Oliveira, Univ. Estadual Paulista (Brazil)
Hector E. Giana, Fundacao Oswaldo Cruz (Brazil)
Landulfo Silveira, Camilo Castelo Branco Univ. (Brazil)

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