4.6 Article

Analysis of Pathogenic Bacterial and Yeast Biofilms Using the Combination of Synchrotron ATR-FTIR Microspectroscopy and Chemometric Approaches

Journal

MOLECULES
Volume 26, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/molecules26133890

Keywords

biofilms; synchrotron; infrared; chemometrics; ATR; spatial heterogeneity

Funding

  1. RMIT Microscopic and Microanalysis Facilities (RMMF)

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This study uses synchrotron macro ATR-FTIR microspectroscopy to show differences in biofilms formed by MRSA, Pseudomonas aeruginosa, and Candida albicans. Polysaccharides were found to be the most significant variance between biofilm samples, with other spectral regions contributing to sample variation. This research will enhance understanding of microbial biofilms and provide a model for future research using synchrotron source ATR-FTIR microspectroscopy.
Biofilms are assemblages of microbial cells, extracellular polymeric substances (EPS), and other components extracted from the environment in which they develop. Within biofilms, the spatial distribution of these components can vary. Here we present a fundamental characterization study to show differences between biofilms formed by Gram-positive methicillin-resistant Staphylococcus aureus (MRSA), Gram-negative Pseudomonas aeruginosa, and the yeast-type Candida albicans using synchrotron macro attenuated total reflectance-Fourier transform infrared (ATR-FTIR) microspectroscopy. We were able to characterise the pathogenic biofilms' heterogeneous distribution, which is challenging to do using traditional techniques. Multivariate analyses revealed that the polysaccharides area (1200-950 cm(-1)) accounted for the most significant variance between biofilm samples, and other spectral regions corresponding to amides, lipids, and polysaccharides all contributed to sample variation. In general, this study will advance our understanding of microbial biofilms and serve as a model for future research on how to use synchrotron source ATR-FTIR microspectroscopy to analyse their variations and spatial arrangements.

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