Recent Advances on Peptide-Based Biosensors and Electronic Noses for Foodborne Pathogen Detection.

antimicrobial peptides biosensors electronic nose foodborne pathogen pathogenic detection peptides phage display

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
11 Feb 2023
Historique:
received: 13 01 2023
revised: 31 01 2023
accepted: 07 02 2023
entrez: 25 2 2023
pubmed: 26 2 2023
medline: 3 3 2023
Statut: epublish

Résumé

Foodborne pathogens present a serious issue around the world due to the remarkably high number of illnesses they cause every year. In an effort to narrow the gap between monitoring needs and currently implemented classical detection methodologies, the last decades have seen an increased development of highly accurate and reliable biosensors. Peptides as recognition biomolecules have been explored to develop biosensors that combine simple sample preparation and enhanced detection of bacterial pathogens in food. This review first focuses on the selection strategies for the design and screening of sensitive peptide bioreceptors, such as the isolation of natural antimicrobial peptides (AMPs) from living organisms, the screening of peptides by phage display and the use of in silico tools. Subsequently, an overview on the state-of-the-art techniques in the development of peptide-based biosensors for foodborne pathogen detection based on various transduction systems was given. Additionally, limitations in classical detection strategies have led to the development of innovative approaches for food monitoring, such as electronic noses, as promising alternatives. The use of peptide receptors in electronic noses is a growing field and the recent advances of such systems for foodborne pathogen detection are presented. All these biosensors and electronic noses are promising alternatives for the pathogen detection with high sensitivity, low cost and rapid response, and some of them are potential portable devices for on-site analyses.

Identifiants

pubmed: 36832024
pii: bios13020258
doi: 10.3390/bios13020258
pmc: PMC9954637
pii:
doi:

Substances chimiques

Peptides 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : French National Research Agency (ANR)
ID : ANR-21-CE21-0009

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Auteurs

Vanessa Escobar (V)

Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France.
Grenoble Alpes University, CNRS, LIPhy, 38000 Grenoble, France.

Natale Scaramozzino (N)

Grenoble Alpes University, CNRS, LIPhy, 38000 Grenoble, France.

Jasmina Vidic (J)

INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France.

Arnaud Buhot (A)

Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France.

Raphaël Mathey (R)

Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France.

Carole Chaix (C)

Institute of Analytical Sciences, University of Lyon, CNRS, Claude Bernard Lyon 1 University, UMR 5280, 69100 Villeurbanne, France.

Yanxia Hou (Y)

Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France.

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