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Proceedings Paper

Deuterium uptake in combination with Raman spectroscopy as a tool to investigate antibiotic susceptibility of bacteria
Author(s): D. Bauer; L. Qiu; K. Wieland; A.-C. Neumann-Cip; A. Wieser; G. Magistro; C. Stief; C. Haisch
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Paper Abstract

The evolution of multi-resistant bacteria poses a major threat to our healthcare system worldwide. To address this serious public health issue, the speed and sensitivity of state-of-the-art antibiotic susceptibility testing (AST) such as broth dilution and disc diffusion methods need to be significantly improved to provide better patient care. With the ultimate goal of developing a fast and reliable alternative that outperforms current state-of-the-art procedures, a high-throughput, generally– in terms of bug drug combinations – applicable analytical protocol was developed employing Raman spectroscopy as non-destructive analysis tool to monitor the deuterium uptake of metabolically active bacteria and additionally extract chemical-specific information for bacteria and/or contaminant identification. Our AST is based on two reference strains representing Gram-negative (E. coli) and Gram-positive bacteria (E. faecalis), treated with a total of four different antibiotics. Apart from high sensitivity and specificity, time is the most crucial parameter in clinical diagnosis. Hence, bulk analysis of highly concentrated samples was favored over a single-cell approach to allow timeefficient, straight-forward sample preparation and investigation. The developed AST also comprises a preincubation step (bug-drug incubation prior to the addition of D2O containing medium) which is shown to be key for the development of a reliable test comprising Gram-positive and Gram-negative bacteria. 52 clinical isolates typical for urinary tract infection causing pathogens were investigated in a semi-automated setting showing good agreement with state-of-the-art analytics.

Paper Details

Date Published: 28 February 2020
PDF: 10 pages
Proc. SPIE 11223, Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2020, 1122302 (28 February 2020);
Show Author Affiliations
D. Bauer, Technische Univ. München (Germany)
L. Qiu, Technische Univ. München (Germany)
K. Wieland, Technische Univ. München (Germany)
A.-C. Neumann-Cip, Max von Pettenkofer Institute (Germany)
A. Wieser, Max von Pettenkofer Institute (Germany)
G. Magistro, Ludwig-Maximilians-Univ. München (Germany)
C. Stief, Ludwig-Maximilians-Univ. München (Germany)
C. Haisch, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 11223:
Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2020
Tianhong Dai; Jürgen Popp; Mei X. Wu M.D., Editor(s)

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