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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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