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Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli

In recent years, antibiotic-resistant bacteria caused by antibiotic abuse in the medical industry have become a new environmental pollutant that endangers public health. Therefore, it is necessary to establish a detection method for evaluating drug-resistant bacteria. In this work, we used Escherich...

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Autores principales: Li, Chunlei, Sun, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201492/
https://www.ncbi.nlm.nih.gov/pubmed/34136468
http://dx.doi.org/10.3389/fchem.2021.696906
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author Li, Chunlei
Sun, Feng
author_facet Li, Chunlei
Sun, Feng
author_sort Li, Chunlei
collection PubMed
description In recent years, antibiotic-resistant bacteria caused by antibiotic abuse in the medical industry have become a new environmental pollutant that endangers public health. Therefore, it is necessary to establish a detection method for evaluating drug-resistant bacteria. In this work, we used Escherichia coli as a target model and proposed a method to evaluate its drug resistance for three antibiotics. Graphene dispersion was used to co-mix with E. coli cells for the purpose of increasing the current signal. This electrochemical-based sensor allows the evaluation of the activity of E. coli on the electrode surface. When antibiotics were present, the electrocatalytic reduction signal was diminished because of the reduced activity of E. coli. Based on the difference in the electrochemical reduction signal, we can evaluate the antibiotic resistance of different E. coli strains.
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spelling pubmed-82014922021-06-15 Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli Li, Chunlei Sun, Feng Front Chem Chemistry In recent years, antibiotic-resistant bacteria caused by antibiotic abuse in the medical industry have become a new environmental pollutant that endangers public health. Therefore, it is necessary to establish a detection method for evaluating drug-resistant bacteria. In this work, we used Escherichia coli as a target model and proposed a method to evaluate its drug resistance for three antibiotics. Graphene dispersion was used to co-mix with E. coli cells for the purpose of increasing the current signal. This electrochemical-based sensor allows the evaluation of the activity of E. coli on the electrode surface. When antibiotics were present, the electrocatalytic reduction signal was diminished because of the reduced activity of E. coli. Based on the difference in the electrochemical reduction signal, we can evaluate the antibiotic resistance of different E. coli strains. Frontiers Media S.A. 2021-05-31 /pmc/articles/PMC8201492/ /pubmed/34136468 http://dx.doi.org/10.3389/fchem.2021.696906 Text en Copyright © 2021 Li and Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Li, Chunlei
Sun, Feng
Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title_full Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title_fullStr Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title_full_unstemmed Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title_short Graphene-Assisted Sensor for Rapid Detection of Antibiotic Resistance in Escherichia coli
title_sort graphene-assisted sensor for rapid detection of antibiotic resistance in escherichia coli
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201492/
https://www.ncbi.nlm.nih.gov/pubmed/34136468
http://dx.doi.org/10.3389/fchem.2021.696906
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