2018
DOI: 10.1021/acs.analchem.7b03382
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Antibiotic Susceptibility Determination within One Cell Cycle at Single-Bacterium Level by Stimulated Raman Metabolic Imaging

Abstract: The widespread use of antibiotics has significantly increased the number of resistant bacteria, which has also increased the urgency of rapid bacterial detection and profiling their antibiotic response. Current clinical methods for antibiotic susceptibility testing (AST) rely on culture and require at least 16 to 24 h to conduct. Therefore, there is an urgent need for a rapid method that can test the susceptibility of bacteria in a culture-free manner. Here we demonstrate a rapid AST method by monitoring the g… Show more

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Cited by 88 publications
(86 citation statements)
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“…This conceptual feature also distinguishes STRIDE from earlier attempts of single-channel glucose metabolic imaging (mostly reporting lipid synthesis) in bacteria or cultured cells. 24, 25, 48-50…”
Section: Discussionmentioning
confidence: 99%
“…This conceptual feature also distinguishes STRIDE from earlier attempts of single-channel glucose metabolic imaging (mostly reporting lipid synthesis) in bacteria or cultured cells. 24, 25, 48-50…”
Section: Discussionmentioning
confidence: 99%
“…However, the opaque appearance of agar gel determines that it is not a good choice for imaging application [ 22 ]. As an alternative, agarose gel has been extensively employed for imaging due to better optical clarity [ 12 , 15 , 23 , 24 , 25 , 26 , 27 , 28 ]. Notably, the flatness of the gel surface is critical for acquirement of high quality scanning image and the accuracy of micro-colonies counting.…”
Section: Resultsmentioning
confidence: 99%
“…The conventional testing assay takes 2 days to 1 week to provide results about the bacteria susceptibility. Recently, single-cell Raman deuterium labeling was introduced as a potential approach for a rapid antibiotic susceptibility testing [56]. In this approach clinical samples can be directly measured after incubation with heavy water.…”
Section: Investigation Of Bacterial Drug Resistancementioning
confidence: 99%