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The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art

Predictive microbiology has steadily evolved into one of the most important tools to assess and control the microbiological safety of food products. Predictive models were traditionally developed based on experiments in liquid laboratory media, meaning that food microstructural effects were not repr...

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Detalles Bibliográficos
Autores principales: Verheyen, Davy, Van Impe, Jan F. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468028/
https://www.ncbi.nlm.nih.gov/pubmed/34574229
http://dx.doi.org/10.3390/foods10092119
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author Verheyen, Davy
Van Impe, Jan F. M.
author_facet Verheyen, Davy
Van Impe, Jan F. M.
author_sort Verheyen, Davy
collection PubMed
description Predictive microbiology has steadily evolved into one of the most important tools to assess and control the microbiological safety of food products. Predictive models were traditionally developed based on experiments in liquid laboratory media, meaning that food microstructural effects were not represented in these models. Since food microstructure is known to exert a significant effect on microbial growth and inactivation dynamics, the applicability of predictive models is limited if food microstructure is not taken into account. Over the last 10–20 years, researchers, therefore, developed a variety of models that do include certain food microstructural influences. This review provides an overview of the most notable microstructure-including models which were developed over the years, both for microbial growth and inactivation.
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spelling pubmed-84680282021-09-27 The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art Verheyen, Davy Van Impe, Jan F. M. Foods Review Predictive microbiology has steadily evolved into one of the most important tools to assess and control the microbiological safety of food products. Predictive models were traditionally developed based on experiments in liquid laboratory media, meaning that food microstructural effects were not represented in these models. Since food microstructure is known to exert a significant effect on microbial growth and inactivation dynamics, the applicability of predictive models is limited if food microstructure is not taken into account. Over the last 10–20 years, researchers, therefore, developed a variety of models that do include certain food microstructural influences. This review provides an overview of the most notable microstructure-including models which were developed over the years, both for microbial growth and inactivation. MDPI 2021-09-08 /pmc/articles/PMC8468028/ /pubmed/34574229 http://dx.doi.org/10.3390/foods10092119 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Verheyen, Davy
Van Impe, Jan F. M.
The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title_full The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title_fullStr The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title_full_unstemmed The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title_short The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
title_sort inclusion of the food microstructural influence in predictive microbiology: state-of-the-art
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468028/
https://www.ncbi.nlm.nih.gov/pubmed/34574229
http://dx.doi.org/10.3390/foods10092119
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