A micro-Raman and chemometric study of urinary tract infection-causing bacterial pathogens in mixed cultures.
Anal Bioanal Chem
; 411(14): 3165-3177, 2019 May.
Article
em En
| MEDLINE
| ID: mdl-30989268
ABSTRACT
Detection of urinary tract infection (UTI)-causing bacteria uses conventional time-consuming microbiological techniques. The current need is to use a fast and reliable method of bacterial identification. In order to unambiguously distinguish the UTI-causing five bacterial species used in the current study, micro-Raman spectra were obtained from a home-assembled micro-Raman system and analyzed by multivariate statistical techniques such as principal component analysis (PCA), partial least square-discriminate analysis (PLS-DA), and support vector machine (SVM). Also, the micro-Raman spectra recorded from samples containing two and three bacterial species were tested and validated against the aforementioned calibration models using PLS-DA and SVM. The prediction accuracies of up to 73 and 89% were achieved with PLS-DA and SVM, respectively. Taken together, the present study depicts the capturing of unique micro-Raman spectral features manifesting from the biochemical content of each bacterium. Also, micro-Raman spectroscopy combined with multivariate data analysis can therefore be a reliable and faster technique for the diagnosis of UTI-causing bacteria. Graphical Abstract.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
3_ND
Base de dados:
MEDLINE
Assunto principal:
Proteus vulgaris
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Análise Espectral Raman
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Infecções Estafilocócicas
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Staphylococcus aureus
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Infecções Urinárias
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Infecções por Bactérias Gram-Negativas
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Escherichia coli
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Anal Bioanal Chem
Ano de publicação:
2019
Tipo de documento:
Article