J 2023

Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers

REBROŠOVÁ, Katarína, Silvie BERNATOVÁ, Martin ŠILER, Jan MAŠEK, Ota SAMEK et. al.

Basic information

Original name

Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers

Authors

REBROŠOVÁ, Katarína (703 Slovakia, guarantor, belonging to the institution), Silvie BERNATOVÁ (203 Czech Republic), Martin ŠILER (203 Czech Republic), Jan MAŠEK (203 Czech Republic, belonging to the institution), Ota SAMEK (203 Czech Republic), Jan JEŽEK (203 Czech Republic), Martin KIZOVSKY (203 Czech Republic), Veronika HOLÁ (203 Czech Republic, belonging to the institution), Pavel ZEMÁNEK (203 Czech Republic) and Filip RŮŽIČKA (203 Czech Republic, belonging to the institution)

Edition

Microbiology Spectrum, WASHINGTON, American Society for Microbiology, 2023, 2165-0497

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10606 Microbiology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.700 in 2022

RIV identification code

RIV/00216224:14110/23:00130632

Organization unit

Faculty of Medicine

UT WoS

000972477400001

Keywords in English

Raman spectroscopy; bloodstream infections; diagnostics; sepsis; bacteria; Candida; Raman tweezers

Tags

International impact, Reviewed
Změněno: 5/4/2024 08:23, Mgr. Tereza Miškechová

Abstract

V originále

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.

Links

EF19_073/0016943, research and development project
Name: Interní grantová agentura Masarykovy univerzity
MUNI/A/1291/2021, interní kód MU
Name: Nozokomiální nákazy – nové cesty jejich diagnostiky a terapie (Acronym: NNNCDT)
Investor: Masaryk University
MUNI/A/1361/2022, interní kód MU
Name: Diagnostika a terapie původců nozokomiálních infekcí
Investor: Masaryk University, Diagnosis and therapy of agents causing nosocomial infections
MUNI/IGA/1093/2020, interní kód MU
Name: Use of Raman spectroscopy for differentiation among pathogens causing urinary tract and bloodstream infections (Acronym: Raman spectroscopy for UTIs and BSIs)
Investor: Masaryk University
NU21-05-00341, research and development project
Name: Pokročilé metody detekce patogenních mikroorganizmů a hodnocení účinku antimikrobiálních látek Ramanovou spektroskopií a dalšími metodami na úrovni molekul v optofluidních systémech
Investor: Ministry of Health of the CR, Subprogram 1 - standard