Deuterium uptake in combination with Raman spectroscopy as a tool to investigate antibiotic susceptibility of bacteria
Deuterium uptake in combination with Raman spectroscopy as a tool to investigate antibiotic susceptibility of bacteria
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DOI:
10.1117/12.2553093
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发表时间:
2020-02
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通讯作者:
D. Bauer;L. Qiu;K. Wieland;Anna-Cathrine Neumann-Cip;A. Wieser;G. Magistro;C. Stief;C. Haisch
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文献类型:
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作者:
D. Bauer;L. Qiu;K. Wieland;Anna-Cathrine Neumann-Cip;A. Wieser;G. Magistro;C. Stief;C. Haisch
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.