Electrochemical techniques for label-free and early detection of growing microbial cells and biofilms.

Antibiotic susceptibility testing Antimicrobial resistance Biofilms Growing microorganisms Impedance Voltammetry

Journal

Bioelectrochemistry (Amsterdam, Netherlands)
ISSN: 1878-562X
Titre abrégé: Bioelectrochemistry
Pays: Netherlands
ID NLM: 100953583

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 07 07 2023
revised: 06 10 2023
accepted: 10 10 2023
medline: 27 11 2023
pubmed: 16 10 2023
entrez: 15 10 2023
Statut: ppublish

Résumé

Over the past decades, the misuse or abuse of antimicrobial agents to prevent and/or control infections has led to increased resistance of microbes to treatments, and antimicrobial resistance is now a subject of major global concern. In some cases, microbes possess the capacity to attach to biotic or abiotic surfaces, and to produce a protective polymeric matrix, forming biofilms of higher resistance and virulence compared to planktonic forms. To avoid further excessive and inappropriate use of antimicrobials, and to propose new effective treatments, it is very important to detect planktonic microbes and microbial biofilms in their early growth stage and at the point of need. In this review, we provide an overview of currently available electrochemical techniques, in particular impedimetric and voltamperometric methods, highlighting recent advances in the field and illustrating with examples in antibiotic susceptibility testing and microbial biofilm monitoring.

Identifiants

pubmed: 37839250
pii: S1567-5394(23)00224-4
doi: 10.1016/j.bioelechem.2023.108587
pii:
doi:

Substances chimiques

Anti-Infective Agents 0
Anti-Bacterial Agents 0

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108587

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Joelle Saulnier (J)

Universite Claude Bernard Lyon 1, Institute of Analytical Sciences, CNRS, 5 rue de la Doua, 69100 Villeurbanne, France.

Catherine Jose (C)

Universite Claude Bernard Lyon 1, Institute of Analytical Sciences, CNRS, 5 rue de la Doua, 69100 Villeurbanne, France.

Florence Lagarde (F)

Universite Claude Bernard Lyon 1, Institute of Analytical Sciences, CNRS, 5 rue de la Doua, 69100 Villeurbanne, France. Electronic address: florence.lagarde@isa-lyon.fr.

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Classifications MeSH