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Finite Element Method for Freezing and Thawing Industrial Food Processes
Freezing is a well-established preservation method used to maintain the freshness of perishable food products during storage, transportation and retail distribution; however, food freezing is a complex process involving simultaneous heat and mass transfer and a progression of physical and chemical c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071487/ https://www.ncbi.nlm.nih.gov/pubmed/33923375 http://dx.doi.org/10.3390/foods10040869 |
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author | Fadiji, Tobi Ashtiani, Seyed-Hassan Miraei Onwude, Daniel I. Li, Zhiguo Opara, Umezuruike Linus |
author_facet | Fadiji, Tobi Ashtiani, Seyed-Hassan Miraei Onwude, Daniel I. Li, Zhiguo Opara, Umezuruike Linus |
author_sort | Fadiji, Tobi |
collection | PubMed |
description | Freezing is a well-established preservation method used to maintain the freshness of perishable food products during storage, transportation and retail distribution; however, food freezing is a complex process involving simultaneous heat and mass transfer and a progression of physical and chemical changes. This could affect the quality of the frozen product and increase the percentage of drip loss (loss in flavor and sensory properties) during thawing. Numerical modeling can be used to monitor and control quality changes during the freezing and thawing processes. This technique provides accurate predictions and visual information that could greatly improve quality control and be used to develop advanced cold storage and transport technologies. Finite element modeling (FEM) has become a widely applied numerical tool in industrial food applications, particularly in freezing and thawing processes. We review the recent studies on applying FEM in the food industry, emphasizing the freezing and thawing processes. Challenges and problems in these two main parts of the food industry are also discussed. To control ice crystallization and avoid cellular structure damage during freezing, including physicochemical and microbiological changes occurring during thawing, both traditional and novel technologies applied to freezing and thawing need to be optimized. Mere experimental designs cannot elucidate the optimum freezing, frozen storage, and thawing conditions. Moreover, these experimental procedures can be expensive and time-consuming. This review demonstrates that the FEM technique helps solve mass and heat transfer equations for any geometry and boundary conditions. This study offers promising insight into the use of FEM for the accurate prediction of key information pertaining to food processes. |
format | Online Article Text |
id | pubmed-8071487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80714872021-04-26 Finite Element Method for Freezing and Thawing Industrial Food Processes Fadiji, Tobi Ashtiani, Seyed-Hassan Miraei Onwude, Daniel I. Li, Zhiguo Opara, Umezuruike Linus Foods Review Freezing is a well-established preservation method used to maintain the freshness of perishable food products during storage, transportation and retail distribution; however, food freezing is a complex process involving simultaneous heat and mass transfer and a progression of physical and chemical changes. This could affect the quality of the frozen product and increase the percentage of drip loss (loss in flavor and sensory properties) during thawing. Numerical modeling can be used to monitor and control quality changes during the freezing and thawing processes. This technique provides accurate predictions and visual information that could greatly improve quality control and be used to develop advanced cold storage and transport technologies. Finite element modeling (FEM) has become a widely applied numerical tool in industrial food applications, particularly in freezing and thawing processes. We review the recent studies on applying FEM in the food industry, emphasizing the freezing and thawing processes. Challenges and problems in these two main parts of the food industry are also discussed. To control ice crystallization and avoid cellular structure damage during freezing, including physicochemical and microbiological changes occurring during thawing, both traditional and novel technologies applied to freezing and thawing need to be optimized. Mere experimental designs cannot elucidate the optimum freezing, frozen storage, and thawing conditions. Moreover, these experimental procedures can be expensive and time-consuming. This review demonstrates that the FEM technique helps solve mass and heat transfer equations for any geometry and boundary conditions. This study offers promising insight into the use of FEM for the accurate prediction of key information pertaining to food processes. MDPI 2021-04-16 /pmc/articles/PMC8071487/ /pubmed/33923375 http://dx.doi.org/10.3390/foods10040869 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 Fadiji, Tobi Ashtiani, Seyed-Hassan Miraei Onwude, Daniel I. Li, Zhiguo Opara, Umezuruike Linus Finite Element Method for Freezing and Thawing Industrial Food Processes |
title | Finite Element Method for Freezing and Thawing Industrial Food Processes |
title_full | Finite Element Method for Freezing and Thawing Industrial Food Processes |
title_fullStr | Finite Element Method for Freezing and Thawing Industrial Food Processes |
title_full_unstemmed | Finite Element Method for Freezing and Thawing Industrial Food Processes |
title_short | Finite Element Method for Freezing and Thawing Industrial Food Processes |
title_sort | finite element method for freezing and thawing industrial food processes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071487/ https://www.ncbi.nlm.nih.gov/pubmed/33923375 http://dx.doi.org/10.3390/foods10040869 |
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