Discrimination of selected species of pathogenic bacteria using near-infrared Raman spectroscopy and principal components analysis

Fernanda S. de Siqueira Oliveira; Hector E. Giana; Landulfo Silveira Jr.

doi:10.1117/1.JBO.17.10.107004

9 October 2012 Discrimination of selected species of pathogenic bacteria using near-infrared Raman spectroscopy and principal components analysis

Fernanda S. de Siqueira Oliveira, Hector E. Giana, Landulfo Silveira Jr.

Author Affiliations +

Journal of Biomedical Optics, Vol. 17, Issue 10, 107004 (October 2012). https://doi.org/10.1117/1.JBO.17.10.107004

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%.

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Fernanda S. de Siqueira Oliveira, Hector E. Giana, and Landulfo Silveira Jr. "Discrimination of selected species of pathogenic bacteria using near-infrared Raman spectroscopy and principal components analysis," Journal of Biomedical Optics 17(10), 107004 (9 October 2012). https://doi.org/10.1117/1.JBO.17.10.107004

Published: 9 October 2012

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KEYWORDS

Bacteria

Raman spectroscopy

Principal component analysis

Microorganisms

Proteins

Pathogens

Mahalanobis distance

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