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Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers
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SYSNO ASEP 0574930 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers Author(s) Rebrošová, K. (CZ)
Bernatová, Silvie (UPT-D) RID, SAI
Šiler, Martin (UPT-D) RID, ORCID, SAI
Mašek, Jan (BFU-R)
Samek, Ota (UPT-D) RID, ORCID, SAI
Ježek, Jan (UPT-D) RID, ORCID, SAI
Kizovský, Martin (UPT-D)
Holá, V. (CZ)
Zemánek, Pavel (UPT-D) RID, SAI, ORCID
Růžička, F. (CZ)Number of authors 10 Article number e0002823 Source Title Microbiology Spectrum. - : American Society for Microbiology - ISSN 2165-0497
Roč. 11, č. 3 (2023)Number of pages 15 s. Publication form Online - E Language eng - English Country US - United States Keywords Raman spectroscopy ; bloodstream infections ; diagnostics ; sepsis ; bacteria ; Candida ; Raman tweezers Subject RIV BH - Optics, Masers, Lasers OECD category Optics (including laser optics and quantum optics) Subject RIV - cooperation Institute of Biophysics - Microbiology, Virology R&D Projects NU21-05-00341 GA MZd - Ministry of Health (MZ) EF15_003/0000476 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) LO1212 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) ED0017/01/01 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Research Infrastructure Czech-BioImaging III - 90250 - Ústav molekulární genetiky AV ČR, v. v. i. Method of publishing Open access Institutional support UPT-D - RVO:68081731 ; BFU-R - RVO:68081707 UT WOS 000972477400001 EID SCOPUS 85165424849 DOI 10.1128/spectrum.00028-23 Annotation The search for the “Holy Grail” in clinical diagnostic microbiology—a reliable, accurate, low-cost, real-time, easy-to-use method—has brought up several methods with the potential to meet these criteria. One is Raman spectroscopy, an optical, nondestructive method based on the inelastic scattering of monochromatic light. The current study focuses on the possible use of Raman spectroscopy for identifying microbes causing severe, often life-threatening bloodstream infections. We included 305 microbial strains of 28 species acting as causative agents of bloodstream infections. Raman spectroscopy identified the strains from grown colonies, with 2.8% and 7% incorrectly identified strains using the support vector machine algorithm based on centered and uncentred principal-component analyses, respectively. We combined Raman spectroscopy with optical tweezers to speed up the process and captured and analyzed microbes directly from spiked human serum. The pilot study suggests that it is possible to capture individual microbial cells from human serum and characterize them by Raman spectroscopy with notable differences among different species. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2024 Electronic address https://journals.asm.org/doi/10.1128/spectrum.00028-23
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