Development and validation of a regression model for Listeria monocytogenes growth in roast beefs.
Growth
Listeria monocytogenes
Meat
Predictive model
Journal
Food microbiology
ISSN: 1095-9998
Titre abrégé: Food Microbiol
Pays: England
ID NLM: 8601127
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
08
12
2020
revised:
15
02
2021
accepted:
17
02
2021
entrez:
20
4
2021
pubmed:
21
4
2021
medline:
27
5
2021
Statut:
ppublish
Résumé
Food business operators are responsible for food safety and assessment of shelf lives for their ready-to-eat products. For assisting them, a customized software based on predictive models, ListWare, is being developed. The aim of this study was to develop and validate a predictive model for the growth of Listeria monocytogenes in sliced roast beef. A challenge study was performed comprising 51 different combinations of variables. The growth curves followed the Baranyi and Roberts model with no clear lag phase and specific growth rates in the range <0.005-0.110 hr
Identifiants
pubmed: 33875206
pii: S0740-0020(21)00035-6
doi: 10.1016/j.fm.2021.103770
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103770Informations de copyright
Copyright © 2021. Published by Elsevier Ltd.