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Numerical analysis of initial amount of substrate and biomass in substrate inhibition process

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dc.title Numerical analysis of initial amount of substrate and biomass in substrate inhibition process en
dc.contributor.author Beltrán-Prieto, Juan Carlos
dc.contributor.author Nguyen, Huynh Bach Son Long
dc.relation.ispartof WSEAS Transactions on Systems and Control
dc.identifier.issn 1991-8763 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 13
dc.citation.spage 491
dc.citation.epage 496
dc.type article
dc.language.iso en
dc.publisher World Scientific and Engineering Academy and Society (WSEAS)
dc.subject Enzyme kinetics en
dc.subject Inhibition en
dc.subject Maximum growth rate en
dc.subject Numerical analysis en
dc.subject Simulation en
dc.subject Substrate concentration en
dc.subject Yield en
dc.description.abstract -The process of inhibition of enzymes is important because it serves as a fundamental control mechanism in many biological systems and allows the regulation of metabolic pathways. In fact, many medications act by inhibiting specific enzymes in the brain or in body tissues. Therefore, the understanding of enzymatic inhibition mechanism is, essential. Inhibitors are frequently used as tools for the study of the mechanism of the enzymes themselves. In the present paper we have studied the process of substrate inhibition by developing a mathematical model that allow us to understand the influence of initial amount of substrate and initial biomass concentration on maximum growth rate value. Numerical analysis using Matlab software was performed to model this inhibition process. © 2018, World Scientific and Engineering Academy and Society. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008503
utb.identifier.obdid 43878656
utb.identifier.scopus 2-s2.0-85061227801
utb.source j-scopus
dc.date.accessioned 2019-07-08T11:59:52Z
dc.date.available 2019-07-08T11:59:52Z
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Beltrán-Prieto, Juan Carlos
utb.fulltext.affiliation JUAN CARLOS BELTRÁN-PRIETO 1, LONG HUYNH BACH SON NGUYEN 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, CZECH REPUBLIC 2 Faculty of Chemical and Environmental Engineering, Lac Hong University, No. 10, Huynhvannghe Street, Bienhoa, Dongnai Province, VIETNAM prieto@utb.cz
utb.fulltext.dates -
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic; Faculty of Chemical and Environmental Engineering, Lac Hong University, No. 10, Huynhvannghe Street, Bienhoa, Dongnai Province, Viet Nam
utb.fulltext.faculty Faculty of Applied Informatics
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International