A micro-Raman and chemometric study of urinary tract infection-causing bacterial pathogens in mixed cultures

M, Yogesha and Chawla, Kiran and Bankapur, Aseefhali and Acharya, Mahendra and Chidangil, Santhosh (2019) A micro-Raman and chemometric study of urinary tract infection-causing bacterial pathogens in mixed cultures. Analytical and Bioanalytical Chemistry, 411 (14). pp. 3165-3177. ISSN 1618-2642

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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 featuresmanifesting 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.

Item Type: Article
Uncontrolled Keywords: Micro-Raman spectroscopy ; UTI-causing bacteria ; Multivariate classification ; PCA ; PLS-DA ; SVM .
Subjects: Departments at MU > Atomic Molecular Physics
Medicine > KMC Manipal > Microbiology
Depositing User: KMC Library
Date Deposited: 01 Jul 2019 09:22
Last Modified: 01 Jul 2019 09:22
URI: http://eprints.manipal.edu/id/eprint/154046

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