The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. monocytogenes.


Journal

Food microbiology
ISSN: 1095-9998
Titre abrégé: Food Microbiol
Pays: England
ID NLM: 8601127

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 26 01 2024
revised: 19 04 2024
accepted: 22 04 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: ppublish

Résumé

Challenge tests are commonly employed to evaluate the growth behavior of L. monocytogenes in food matrices; they are known for being expensive and time-consuming. An alternative could be the use of predictive models to forecast microbial behavior under different conditions. In this study, the growth behavior of L. monocytogenes in different fresh produce was evaluated using a predictive model based on the Gamma concept considering pH, water activity (a

Identifiants

pubmed: 38839220
pii: S0740-0020(24)00092-3
doi: 10.1016/j.fm.2024.104554
pii:
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104554

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. 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 article.

Auteurs

Marisa Gomez-Galindo (M)

Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, Murcia, Spain.

Cristina Serra-Castelló (C)

IRTA, Food Safety and Functionality Program, Finca Camps i Armet s/n, 17121, Monells, Spain.

Sara Bover-Cid (S)

IRTA, Food Safety and Functionality Program, Finca Camps i Armet s/n, 17121, Monells, Spain.

Pilar Truchado (P)

Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, Murcia, Spain.

Maria I Gil (MI)

Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, Murcia, Spain.

Ana Allende (A)

Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, Murcia, Spain. Electronic address: aallende@cebas.csic.es.

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Classifications MeSH