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Rapid identification and quantification of antibiotic susceptibility of lactic acid bacteria using surface enhanced Raman spectroscopy

Abstract

Overuse and misuse of antibiotics have resulted in widely antibiotics resistance in bacteria. In this study, surface-enhanced Raman spectroscopy (SERS) was used to rapidly characterize the responses of lactic acid bacteria (LAB) to antibiotics targeting bacterial cell wall. Lactobacillus delbrueckii subsp. bulgaricus (Lb. bulgaricus) ATCC 11842 was used to represent LAB strains that are widely used in food industry. Penicillin G, ampicillin and vancomycin were used to treat Lb. bulgaricus ATCC 11842 at different toxic levels for 30, 60 and 90 min, respectively. SERS spectra of Lb. bulgaricus after each treatment were collected to characterize the responses of Lb. bulgaricus. The collected spectra were analyzed by principal components analysis (PCA) and partial least squares regression (PLSR). Results suggested that all three antibiotics induced significant peak changes in LAB, and the spectral changes induced by each antibiotic treatment were significantly different. Moreover, the antibiotic induced spectral changes in Lb. bulgaricus had good correlation with its proliferation ability and could be potentially used as a base for rapid quantification of antibiotic susceptibility of bacteria. The developed method could detect the reaction of LAB to antibiotics treatments within 3 h. Therefore, the developed SERS method has the potential to be used to rapidly discriminate and quantify the antibiotic susceptibility of LAB. Moreover, such a rapid and direct method could contribute to microbial antibiotic susceptibility detection researches.

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Supplementary files

Publication details

The article was received on 02 Aug 2019, accepted on 23 Oct 2019 and first published on 24 Oct 2019


Article type: Paper
DOI: 10.1039/C9AY01659G
Anal. Methods, 2019, Accepted Manuscript

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    Rapid identification and quantification of antibiotic susceptibility of lactic acid bacteria using surface enhanced Raman spectroscopy

    P. Wang, X. Wang, Y. Sun, G. Gong, M. Fan and L. He, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C9AY01659G

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