Raman spectroscopy - a tool for rapid differentiation among microbes causing urinary tract infections

0553555 - ÚPT 2023 RIV NL eng J - Journal Article
Rebrošová, K. - Bernatová, Silvie - Šiler, Martin - Uhlířová, M. - Samek, Ota - Ježek, Jan - Holá, V. - Růžička, F. - Zemánek, Pavel
Raman spectroscopy - a tool for rapid differentiation among microbes causing urinary tract infections.
Analytica Chimica Acta. Roč. 1191, 25 January (2022), č. článku 339292. ISSN 0003-2670. E-ISSN 1873-4324
R&D Projects: GA MZd(CZ) NU21-05-00341; GA MŠMT EF15_003/0000476; GA MŠMT(CZ) LO1212; GA MŠMT ED0017/01/01
Institutional support: RVO:68081731
Keywords : Raman spectroscopy * Urinary tract infections * Raman tweezers * Optical trapping * Bacteria
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 6.2, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0003267021011181

Urinary tract infections belong to the most common infections in the world. Besides communityacquired infections, nosocomial infections pose a high risk especially for patients having indwelling catheters, undergoing urological surgeries or staying at hospital for prolonged time. They can be often complicated by antimicrobial resistance and/or biofilm formation. Therefore, a rapid diagnostic tool enabling timely identification of a causative agent and its susceptibility to antimicrobials is a need. Raman spectroscopy appears to be a suitable method that allows rapid differentiation among microbes and provides a space for further analyses, such as determination of capability of biofilm formation or antimicrobial susceptibility/resistance in tested strains. Our work here presents a possibility to differ among most common microbes causing urinary tract infections (belonging to 20 species). We tested 254 strains directly from colonies grown on Mueller-Hinton agar plates. The results show that it is possible to distinguish among the tested species using Raman spectroscopy, which proves its great potential for future use in clinical diagnostics. Moreover, we present here a pilot study of a real-time analysis and identification (in less than 10 min) of single microbial cells directly in urine employing optical tweezers combined with Raman spectroscopy.
Permanent Link: https://hdl.handle.net/11104/0333541