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Proceedings Paper

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

It has been proposed a method based on Raman spectroscopy for identification of different microorganisms involved in bacterial urinary tract infections. Spectra were collected from different bacterial colonies (Gram negative: E. coli, K. pneumoniae, P. mirabilis, P. aeruginosa, E. cloacae and Gram positive: S. aureus and Enterococcus sp.), grown in culture medium (Agar), using a Raman spectrometer with a fiber Raman probe (830 nm). Colonies were scraped from Agar surface placed in an aluminum foil for Raman measurements. After pre-processing, spectra were submitted to a Principal Component Analysis and Mahalanobis distance (PCA/MD) discrimination algorithm. It has been found that the mean Raman spectra of different bacterial species show similar bands, being the S. aureus 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 good sensitivity and high specificity.

Paper Details

Date Published: 22 February 2012
PDF: 7 pages
Proc. SPIE 8214, Advanced Biomedical and Clinical Diagnostic Systems X, 821409 (22 February 2012); doi: 10.1117/12.910439
Show Author Affiliations
Fernanda S. de Siqueira e Oliveira, Univ. Estadual Paulista (Brazil)
Hector E. Giana, Lab. Oswaldo Cruz (Brazil)
Landulfo Silveira Jr., Univ. Camilo Castelo Branco (Brazil)

Published in SPIE Proceedings Vol. 8214:
Advanced Biomedical and Clinical Diagnostic Systems X
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest M.D., Editor(s)

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