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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Main Authors: Davy Verheyen, Jan F. M. Van Impe
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/10/9/2119
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author Davy Verheyen
Jan F. M. Van Impe
author_facet Davy Verheyen
Jan F. M. Van Impe
author_sort Davy Verheyen
collection DOAJ
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 doaj.art-9f189ac0b9aa427db55019360918c5512023-11-22T13:04:31ZengMDPI AGFoods2304-81582021-09-01109211910.3390/foods10092119The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-ArtDavy Verheyen0Jan F. M. Van Impe1BioTeC+, Chemical and Biochemical Process Technology and Control, Department of Chemical Engineering, KU Leuven, Gebroeders de Smetstraat 1, 9000 Ghent, BelgiumBioTeC+, Chemical and Biochemical Process Technology and Control, Department of Chemical Engineering, KU Leuven, Gebroeders de Smetstraat 1, 9000 Ghent, BelgiumPredictive 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.https://www.mdpi.com/2304-8158/10/9/2119predictive microbiologyfood microstructurefood safetymathematical models
spellingShingle Davy Verheyen
Jan F. M. Van Impe
The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art
Foods
predictive microbiology
food microstructure
food safety
mathematical models
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 predictive microbiology
food microstructure
food safety
mathematical models
url https://www.mdpi.com/2304-8158/10/9/2119
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