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https://hdl.handle.net/20.500.14279/9400
Τίτλος: | Enzyme Kinetics Modeling as a Tool to Optimize Food Industry: A Pragmatic Approach Based on Amylolytic Enzymes | Συγγραφείς: | Galanakis, Charis M. Patsioura, Anna Gekas, Vassilis |
Major Field of Science: | Engineering and Technology | Field Category: | Environmental Biotechnology | Λέξεις-κλειδιά: | Michaelis–Menten;Monte Carlo;Multienzyme kinetics;Αmylases;Εmpirical models;Νeural networks | Ημερομηνία Έκδοσης: | 21-Μαΐ-2015 | Πηγή: | Critical Reviews in Food Science and Nutrition, 2015, vol. 55, no. 12, pp. 1758-1770. | Volume: | 55 | Issue: | 12 | Start page: | 1758 | End page: | 1770 | DOI: | 10.1080/10408398.2012.725112 | Περιοδικό: | Critical Reviews in Food Science and Nutrition | Περίληψη: | 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? | URI: | https://hdl.handle.net/20.500.14279/9400 | ISSN: | 10408398 | DOI: | 10.1080/10408398.2012.725112 | Rights: | © Taylor & Francis Group | Type: | Article | Affiliation: | Chemical Analytical Laboratories “Galanakis” Cyprus University of Technology AgroParisTech Site de Massy |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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