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@article{2277258,
author = {Rebrošová, Katarína and Bernatová, Silvie and Šiler, Martin and Mašek, Jan and Samek, Ota and Ježek, Jan and Kizovsky, Martin and Holá, Veronika and Zemánek, Pavel and Růžička, Filip},
article_location = {WASHINGTON},
article_number = {3},
doi = {http://dx.doi.org/10.1128/spectrum.00028-23},
keywords = {Raman spectroscopy; bloodstream infections; diagnostics; sepsis; bacteria; Candida; Raman tweezers},
language = {eng},
issn = {2165-0497},
journal = {Microbiology Spectrum},
title = {Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers},
url = {https://journals.asm.org/doi/10.1128/spectrum.00028-23},
volume = {11},
year = {2023}
}
TY - JOUR
ID - 2277258
AU - Rebrošová, Katarína - Bernatová, Silvie - Šiler, Martin - Mašek, Jan - Samek, Ota - Ježek, Jan - Kizovsky, Martin - Holá, Veronika - Zemánek, Pavel - Růžička, Filip
PY - 2023
TI - Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers
JF - Microbiology Spectrum
VL - 11
IS - 3
SP - 1-15
EP - 1-15
PB - American Society for Microbiology
SN - 21650497
KW - Raman spectroscopy
KW - bloodstream infections
KW - diagnostics
KW - sepsis
KW - bacteria
KW - Candida
KW - Raman tweezers
UR - https://journals.asm.org/doi/10.1128/spectrum.00028-23
N2 - 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.
ER -
REBROŠOVÁ, Katarína, Silvie BERNATOVÁ, Martin ŠILER, Jan MAŠEK, Ota SAMEK, Jan JEŽEK, Martin KIZOVSKY, Veronika HOLÁ, Pavel ZEMÁNEK and Filip RŮŽIČKA. Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers. \textit{Microbiology Spectrum}. WASHINGTON: American Society for Microbiology, 2023, vol.~11, No~3, p.~1-15. ISSN~2165-0497. Available from: https://dx.doi.org/10.1128/spectrum.00028-23.
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