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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Format: | Article |
Language: | English |
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MDPI AG
2021-09-01
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Series: | Foods |
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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. |
first_indexed | 2024-03-10T07:40:50Z |
format | Article |
id | doaj.art-9f189ac0b9aa427db55019360918c551 |
institution | Directory Open Access Journal |
issn | 2304-8158 |
language | English |
last_indexed | 2024-03-10T07:40:50Z |
publishDate | 2021-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Foods |
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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