Identification of bacteria in mixed infection from urinary tract of patient's samples using Raman analysis of dried droplets-Reference-Cited by-同舟云学术

Identification of bacteria in mixed infection from urinary tract of patient's samples using Raman analysis of dried droplets

Published:2023 Issue:16 Volume:148 Page:3806-3816
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Aubrechtová Dragounová Kateřina¹²^ORCID,Ryabchykov Oleg²³,Steinbach Daniel⁴,Recla Vincent⁵,Lindig Nora⁵,González Vázquez María José¹²,Foller Susan⁴,Bauer Michael¹,Bocklitz Thomas W.²⁶⁷,Popp Jürgen²⁶,Rödel Jürgen⁵,Neugebauer Ute¹²⁶

Affiliation:

1. Department of Anaesthesiology and Intensive Care Medicine and Center for Sepsis Control and Care (CSCC), Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany

2. Leibniz Institute of Photonic Technology (Leibniz-IPHT), a member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany

3. Biophotonics Diagnostics GmbH, Am Wiesenbach 30, 07751 Jena, Germany

4. Department of Urology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany

5. Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany

6. Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany

7. Institute of Computer Science, Faculty of Mathematics, Physics & Computer Science, University Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany

Abstract

Raman spectroscopy approach based on dried droplets, for mixed UTI bacterial pathogens identification.

Funder

Horizon 2020 Framework Programme

Freistaat Thüringen

Bundesministerium für Bildung und Forschung

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AN/D3AN00679D

Reference38 articles.

1. Raman spectroscopy towards clinical application: drug monitoring and pathogen identification

2. Urinary tract infections: epidemiology, mechanisms of infection and treatment options

3. Nosocomial and community-acquired infections in Germany. Summary of the results of the first national prevalence study (NIDEP)

4. Device-Associated Infection Rates for Non–Intensive Care Unit Patients

5. Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering