Enzyme Kinetics Modeling as a Tool to Optimize Food Industry: A Pragmatic Approach Based on Amylolytic Enzymes
| Autor: | Charis M. Galanakis, Anna Patsioura, Vassilis Gekas |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Food industry
Food Handling Stochastic modelling Computer science Industrial and Manufacturing Engineering Field (computer science) Environmental Biotechnology Αmylases Representation (mathematics) Monte Carlo Multienzyme kinetics Artificial neural network business.industry Empirical modelling General Medicine Models Theoretical Michaelis–Menten Kinetics Intermediate complexity Νeural networks Amylases Engineering and Technology Εmpirical models Biochemical engineering business Algorithms Food Science |
| Zdroj: | Critical Reviews in Food Science and Nutrition. 55:1758-1770 |
| ISSN: | 1549-7852 1040-8398 |
| Popis: | Modeling is an important tool in the food industry since it is able to simplify explanation of phenomena and optimize processes that cover a broad field from manufacture to byproducts treatment. The goal of the current article is to explore the development of enzyme kinetic models and their evolution over the last decades. For this reason, corresponding simulations were classified in deterministic, empirical, and stochastic models, prior investigating limitations, corrections, and industrial applications in each case. The ultimate goal is to provide an answer to a major problem: how can we develop an intermediate complexity model that achieves satisfactorily representation of the main phenomena with a limited number of parameters? |
| Databáze: | OpenAIRE |
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