Dynamic Modelling and Simulation of Food Systems
Several factors influence consumers’ choices of food products. While price remains the main criterion, quality, pleasure, convenience, and health are also important driving factors in food market evolution. Food enterprises are making significant efforts to manufacture products that meet consumers’...
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| Формат: | Online |
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| Язык: | английский |
| Опубликовано: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Предметы: | |
| Online-ссылка: | ONIX_20230405_9783036566924_123 |
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| _version_ | 1869518635967447040 |
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| collection | Directory of Open Access Books |
| description | Several factors influence consumers’ choices of food products. While price remains the main criterion, quality, pleasure, convenience, and health are also important driving factors in food market evolution. Food enterprises are making significant efforts to manufacture products that meet consumers’ demands without compromising on safety standards. Additionally, the food industry also aims to improve the efficiency of transformation and conservation processes by minimizing energy consumption, process duration, and waste generation. However, foods are highly complex systems in which: (i) Non-linear dynamics and interactions among different temporal and spatial scales must be considered; (ii) A wide range of physical phenomena occur; (iii) Different food matrices, with different microstructures and properties are involved; and (iv) The number of quality and safety indicators (such as bacteria, total volatile basic nitrogen, color, texture, odor, and sensory characteristics) is substantial. Mathematical modeling and simulation are key elements that allow us to gain a deeper understanding of food processes and enable the use of tools such as optimization and real-time control to improve their efficiency. This Special Issue gathers research on the development of dynamic mathematical models that describe the relevant factors in food processes, and model-based tools to improve such processes. The contributions published in this Special Issue can be grouped into two categories: the evolution of safety and quality indicators in unprocessed food systems, and transformation and preservation processes. |
| format | Online |
| id | doab-20.500.12854ir-98844 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-988442024-04-09T23:16:01Z Dynamic Modelling and Simulation of Food Systems Vilas, Carlos García, Míriam R. Egea, Jose A. food safety predictive microbiology mathematical models microbial inactivation sublethal injury bioprocess engineering fermentation process batch bioreactors dynamical non-linear mathematical model model identification particle swarm optimization simulation Carnobacterium maltaromaticum modeling microbial growth optimization fermentation temperature-dependent thermal properties scaled sensitivity coefficient TPCell parameter estimation inverse problems food microstructure electronic nose Shewanella putrefaciens dynamic growth spoilage prediction GC-MS acrylamide formation thermal resistance dynamic models FSSP DoE smoke fish wine fermentation nitrogen mathematical modeling population model maintenance variable yield underutilized wild species lycopene viscosity thermal processing color mathematical modelling fish quality fish freshness bibliometric analysis stress variables quality degradation beer fermentation food industry multi-objective optimization model-based optimization equivalent solutions uncertainty Monte Carlo frying operation acrylamide quality n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Several factors influence consumers’ choices of food products. While price remains the main criterion, quality, pleasure, convenience, and health are also important driving factors in food market evolution. Food enterprises are making significant efforts to manufacture products that meet consumers’ demands without compromising on safety standards. Additionally, the food industry also aims to improve the efficiency of transformation and conservation processes by minimizing energy consumption, process duration, and waste generation. However, foods are highly complex systems in which: (i) Non-linear dynamics and interactions among different temporal and spatial scales must be considered; (ii) A wide range of physical phenomena occur; (iii) Different food matrices, with different microstructures and properties are involved; and (iv) The number of quality and safety indicators (such as bacteria, total volatile basic nitrogen, color, texture, odor, and sensory characteristics) is substantial. Mathematical modeling and simulation are key elements that allow us to gain a deeper understanding of food processes and enable the use of tools such as optimization and real-time control to improve their efficiency. This Special Issue gathers research on the development of dynamic mathematical models that describe the relevant factors in food processes, and model-based tools to improve such processes. The contributions published in this Special Issue can be grouped into two categories: the evolution of safety and quality indicators in unprocessed food systems, and transformation and preservation processes. 2023-04-05T12:53:49Z 2023-04-05T12:53:49Z 2023 book ONIX_20230405_9783036566924_123 9783036566924 9783036566931 https://directory.doabooks.org/handle/20.500.12854/98844 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6897 https://mdpi.com/books/pdfview/book/6897 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6693-1 10.3390/books978-3-0365-6693-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036566924 9783036566931 252 Basel open access |
| spellingShingle | food safety predictive microbiology mathematical models microbial inactivation sublethal injury bioprocess engineering fermentation process batch bioreactors dynamical non-linear mathematical model model identification particle swarm optimization simulation Carnobacterium maltaromaticum modeling microbial growth optimization fermentation temperature-dependent thermal properties scaled sensitivity coefficient TPCell parameter estimation inverse problems food microstructure electronic nose Shewanella putrefaciens dynamic growth spoilage prediction GC-MS acrylamide formation thermal resistance dynamic models FSSP DoE smoke fish wine fermentation nitrogen mathematical modeling population model maintenance variable yield underutilized wild species lycopene viscosity thermal processing color mathematical modelling fish quality fish freshness bibliometric analysis stress variables quality degradation beer fermentation food industry multi-objective optimization model-based optimization equivalent solutions uncertainty Monte Carlo frying operation acrylamide quality n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Dynamic Modelling and Simulation of Food Systems |
| title | Dynamic Modelling and Simulation of Food Systems |
| title_full | Dynamic Modelling and Simulation of Food Systems |
| title_fullStr | Dynamic Modelling and Simulation of Food Systems |
| title_full_unstemmed | Dynamic Modelling and Simulation of Food Systems |
| title_short | Dynamic Modelling and Simulation of Food Systems |
| title_sort | dynamic modelling and simulation of food systems |
| topic | food safety predictive microbiology mathematical models microbial inactivation sublethal injury bioprocess engineering fermentation process batch bioreactors dynamical non-linear mathematical model model identification particle swarm optimization simulation Carnobacterium maltaromaticum modeling microbial growth optimization fermentation temperature-dependent thermal properties scaled sensitivity coefficient TPCell parameter estimation inverse problems food microstructure electronic nose Shewanella putrefaciens dynamic growth spoilage prediction GC-MS acrylamide formation thermal resistance dynamic models FSSP DoE smoke fish wine fermentation nitrogen mathematical modeling population model maintenance variable yield underutilized wild species lycopene viscosity thermal processing color mathematical modelling fish quality fish freshness bibliometric analysis stress variables quality degradation beer fermentation food industry multi-objective optimization model-based optimization equivalent solutions uncertainty Monte Carlo frying operation acrylamide quality n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | food safety predictive microbiology mathematical models microbial inactivation sublethal injury bioprocess engineering fermentation process batch bioreactors dynamical non-linear mathematical model model identification particle swarm optimization simulation Carnobacterium maltaromaticum modeling microbial growth optimization fermentation temperature-dependent thermal properties scaled sensitivity coefficient TPCell parameter estimation inverse problems food microstructure electronic nose Shewanella putrefaciens dynamic growth spoilage prediction GC-MS acrylamide formation thermal resistance dynamic models FSSP DoE smoke fish wine fermentation nitrogen mathematical modeling population model maintenance variable yield underutilized wild species lycopene viscosity thermal processing color mathematical modelling fish quality fish freshness bibliometric analysis stress variables quality degradation beer fermentation food industry multi-objective optimization model-based optimization equivalent solutions uncertainty Monte Carlo frying operation acrylamide quality n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230405_9783036566924_123 |