Please use this identifier to cite or link to this item:
Title: Enzyme Kinetics Modeling as a Tool to Optimize Food Industry: A Pragmatic Approach Based on Amylolytic Enzymes
Authors: Galanakis, Charis M. 
Patsioura, Anna 
Gekas, Vassilis 
Keywords: Michaelis–Menten;Monte Carlo;Multienzyme kinetics;Αmylases;Εmpirical models;Νeural networks
Category: Environmental Biotechnology
Field: Engineering and Technology
Issue Date: 15-Oct-2015
Publisher: Taylor and Francis Inc.
Source: Critical Reviews in Food Science and Nutrition Volume 55, Issue 12, 15 October 2015, Pages 1758-1770
DOI: 10.1080/10408398.2012.725112
Abstract: 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?
ISSN: 10408398
Rights: © 2015, Copyright © Taylor & Francis Group, LLC
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s)

Last Week
Last month
checked on Mar 31, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.