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https://hdl.handle.net/20.500.14279/9400| Πεδίο DC | Τιμή | Γλώσσα |
|---|---|---|
| dc.contributor.author | Galanakis, Charis M. | - |
| dc.contributor.author | Patsioura, Anna | - |
| dc.contributor.author | Gekas, Vassilis | - |
| dc.date.accessioned | 2017-02-02T09:35:06Z | - |
| dc.date.available | 2017-02-02T09:35:06Z | - |
| dc.date.issued | 2015-05-21 | - |
| dc.identifier.citation | Critical Reviews in Food Science and Nutrition, 2015, vol. 55, no. 12, pp. 1758-1770. | en_US |
| dc.identifier.issn | 10408398 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14279/9400 | - |
| dc.description.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? | en_US |
| dc.format | en_US | |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Critical Reviews in Food Science and Nutrition | en_US |
| dc.rights | © Taylor & Francis Group | en_US |
| dc.subject | Michaelis–Menten | en_US |
| dc.subject | Monte Carlo | en_US |
| dc.subject | Multienzyme kinetics | en_US |
| dc.subject | Αmylases | en_US |
| dc.subject | Εmpirical models | en_US |
| dc.subject | Νeural networks | en_US |
| dc.title | Enzyme Kinetics Modeling as a Tool to Optimize Food Industry: A Pragmatic Approach Based on Amylolytic Enzymes | en_US |
| dc.type | Article | en_US |
| dc.doi | 10.1080/10408398.2012.725112 | en_US |
| dc.collaboration | Chemical Analytical Laboratories “Galanakis” | en_US |
| dc.collaboration | Cyprus University of Technology | en_US |
| dc.collaboration | AgroParisTech Site de Massy | en_US |
| dc.subject.category | Environmental Biotechnology | en_US |
| dc.journals | Subscription | en_US |
| dc.country | Cyprus | en_US |
| dc.country | Greece | en_US |
| dc.country | France | en_US |
| dc.subject.field | Engineering and Technology | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.identifier.doi | 10.1080/10408398.2012.725112 | en_US |
| dc.relation.issue | 12 | en_US |
| dc.relation.volume | 55 | en_US |
| cut.common.academicyear | 2014-2015 | en_US |
| dc.identifier.spage | 1758 | en_US |
| dc.identifier.epage | 1770 | en_US |
| item.grantfulltext | none | - |
| item.languageiso639-1 | en | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
| item.openairetype | article | - |
| item.fulltext | No Fulltext | - |
| crisitem.journal.journalissn | 1549-7852 | - |
| crisitem.journal.publisher | Taylor & Francis | - |
| crisitem.author.dept | Department of Agricultural Sciences, Biotechnology and Food Science | - |
| crisitem.author.faculty | Faculty of Geotechnical Sciences and Environmental Management | - |
| crisitem.author.orcid | 0000-0003-3502-2210 | - |
| crisitem.author.parentorg | Faculty of Geotechnical Sciences and Environmental Management | - |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles | |
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