Discrimination of selected species of pathogenic bacteria using near-infrared Raman spectroscopy and Principal Components Analysis

Autor(es)

de Siqueira e Oliveira, Fernanda S. ; Giana, Hector E. ; Silveira, Landulfo, Jr. ; VoDinh, T ; MahadevanJansen, A ; Grundfest, WS

• Tipo de documento: Artigo Científico
• Fonte: ADVANCED BIOMEDICAL AND CLINICAL DIAGNOSTIC SYSTEMS X; v. 8214, p. 7-pg., 2012-01-01.

Resumo

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. (AU)

• Processo FAPESP: 09/01788-5 - Espectroscopia Raman dispersiva utilizando fibras ópticas "Raman probe" aplicada ao diagnóstico de neoplasias na pele e próstata
• Beneficiário: Landulfo Silveira Junior
• Modalidade de apoio: Auxílio à Pesquisa - Regular