Determination of antibiotic resistance profile of bacterial community from environmental water using antibiotic-resistant bacterial contamination detection (ABCD) kit.

Biosens Bioelectron

Analytical and Environmental Science Division & Centralized Instrument Facility, CSIR-Central Salt & Marine Chemicals Research Institute, G.B. Marg, Bhavnagar, 364002, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address:

Published: February 2023

Quick and easy monitoring approaches are needed to assess sources, clinical relevance, and incidences of antibiotic resistance in environmental bacterial communities. In the present work, antibiotic-resistant bacterial contamination detection (ABCD) kits were developed for the same. The method was standardized with strains of Escherichia coli TS7, Staphylococcus arlettae HWI8, Enterococcus faecalis HWI19, and Aerococcus viridans HWII16 with known antibiogram using six clinically important antibiotics. The method was verified with different water sources having different physicochemical parameters successfully. Only 1 ml of sample water is required to be mixed with an optimized concentration of the antibiotic solution and incubated for 6h; subsequently, a color change to pink may be observed within a specified amount of time upon the addition of the bacterial detection PVDF membrane to monitor the presence of resistant bacteria. There is no color change in the case of antibiotic-susceptible bacterial communities or the absence of a resistant community. Moreover, the time taken for color change is inversely related to the magnitude of the antibiotic-resistant communities in terms of enumeration. Up to our understanding, this is the 1st report which can determine an antibiotic-resistance profile of any water source by observing only color change within a maximum of 7 h (6 h for co-culture of bacteria and antibiotics + 1 h for color change detection) time without the aid of any microbiology laboratory or skilled manpower.

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Source
http://dx.doi.org/10.1016/j.bios.2022.114943DOI Listing

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