Dynamic Modelling and Simulation of Food Systems: Recent Trends and Applications
Author:
Affiliation:
1. Fruit Breeding Group, CEBAS-CSIC, Campus de Espinardo 25, 30100 Murcia, Spain
2. Biosystems and Bioprocess Engineering Group, IIM-CSIC, 36208 Vigo, Spain
Abstract
Funder
Ministerio de Ciencia e Innovación, Spain
European Union
Ministry of Economy, Industry and Competitiveness
Publisher
MDPI AG
Subject
Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science
Link
https://www.mdpi.com/2304-8158/12/3/557/pdf
Reference13 articles.
1. Verheyen, D., and Van Impe, J.F.M. (2021). The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art. Foods, 10.
2. Puentes, C., Girardeau, A., Passot, S., Fonseca, F., and Trelea, I.-C. (2021). Dynamic Modeling of Carnobacterium maltaromaticum CNCM I-3298 Growth and Metabolite Production and Model-Based Process Optimization. Foods, 10.
3. Akkermans, S., Verheyen, D., Smet, C., and Van Impe, J. (2021). A Population Balance Model to Describe the Evolution of Sublethal Injury. Foods, 10.
4. Yi, Z., and Xie, J. (2021). Prediction in the Dynamics and Spoilage of Shewanella putrefaciens in Bigeye Tuna (Thunnus obesus) by Gas Sensors Stored at Different Refrigeration Temperatures. Foods, 10.
5. García, M.R., Ferez-Rubio, J.A., and Vilas, C. (2022). Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review. Foods, 11.
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