Raman Spectroscopy - A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings

0565445 - ÚPT 2023 RIV CH eng J - Journal Article
Rebrošová, K. - Samek, Ota - Kizovský, Martin - Bernatová, Silvie - Holá, V. - Růžička, F.
Raman Spectroscopy - A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.
Frontiers in Cellular and Infection Microbiology. Roč. 12, 22 April (2022), č. článku 866463. ISSN 2235-2988. E-ISSN 2235-2988
R&D Projects: GA MZd(CZ) NU21-05-00341
Institutional support: RVO:68081731
Keywords : Raman spectroscopy * Raman tweezers * identification of microorganisms * antimicrobial resistance * microfluidic devices * magnetic beads * diagnostics
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 5.7, year: 2022
Method of publishing: Open access
https://www.frontiersin.org/articles/10.3389/fcimb.2022.866463/full

Rapid and accurate identification of pathogens causing infections is one of the biggest challenges in medicine. Timely identification of causative agents and their antimicrobial resistance profile can significantly improve the management of infection, lower costs for healthcare, mitigate ever-growing antimicrobial resistance and in many cases, save lives. Raman spectroscopy was shown to be a useful-quick, non-invasive, and non-destructivetool for identifying microbes from solid and liquid media. Modifications of Raman spectroscopy and/or pretreatment of samples allow single-cell analyses and identification of microbes from various samples. It was shown that those non-culture-based approaches could also detect antimicrobial resistance. Moreover, recent studies suggest that a combination of Raman spectroscopy with optical tweezers has the potential to identify microbes directly from human body fluids. This review aims to summarize recent advances in non-culture-based approaches of identification of microbes and their virulence factors, including antimicrobial resistance, using methods based on Raman spectroscopy in the context of possible use in the future point-of-care diagnostic process.
Permanent Link: https://hdl.handle.net/11104/0336976