Application of Differential Equations in Enzyme Kinetics

This paper discusses the application of simplified differential transformation method in the solution of nonlinear differential equations and the application of characteristic set method in the analysis of enzyme dynamic system. It can be found through the solution of the Burgers equation and other...

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Main Authors: Caihong Fan, Ping Li, Yingzhen Xue
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-12-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/9431
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spelling doaj-33515feddb0a4bf287c129176e1123d12021-02-16T21:12:38ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-12-017110.3303/CET1871148Application of Differential Equations in Enzyme KineticsCaihong FanPing LiYingzhen XueThis paper discusses the application of simplified differential transformation method in the solution of nonlinear differential equations and the application of characteristic set method in the analysis of enzyme dynamic system. It can be found through the solution of the Burgers equation and other evolution equations that RDTM is a more accurate and efficient method than ADM, VIM, and DTM. When seeking the approximate solution of an equation through RDTM, there is no restriction required, such as disturbance technique, linearization or discretization. Under the assumption that the initial concentration of the enzyme is much larger than that of the matrix, the nonlinear equation sets of the reaction system are transformed into linear equation set and then the dsolve command of the computer algebra software MAPLE is used for the solution, obtaining the time-varying functional relationship between concentration of matrix s, the product P and composite c and the rationality of this method is illustrated by an example drawing.https://www.cetjournal.it/index.php/cet/article/view/9431
collection DOAJ
language English
format Article
sources DOAJ
author Caihong Fan
Ping Li
Yingzhen Xue
spellingShingle Caihong Fan
Ping Li
Yingzhen Xue
Application of Differential Equations in Enzyme Kinetics
Chemical Engineering Transactions
author_facet Caihong Fan
Ping Li
Yingzhen Xue
author_sort Caihong Fan
title Application of Differential Equations in Enzyme Kinetics
title_short Application of Differential Equations in Enzyme Kinetics
title_full Application of Differential Equations in Enzyme Kinetics
title_fullStr Application of Differential Equations in Enzyme Kinetics
title_full_unstemmed Application of Differential Equations in Enzyme Kinetics
title_sort application of differential equations in enzyme kinetics
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2018-12-01
description This paper discusses the application of simplified differential transformation method in the solution of nonlinear differential equations and the application of characteristic set method in the analysis of enzyme dynamic system. It can be found through the solution of the Burgers equation and other evolution equations that RDTM is a more accurate and efficient method than ADM, VIM, and DTM. When seeking the approximate solution of an equation through RDTM, there is no restriction required, such as disturbance technique, linearization or discretization. Under the assumption that the initial concentration of the enzyme is much larger than that of the matrix, the nonlinear equation sets of the reaction system are transformed into linear equation set and then the dsolve command of the computer algebra software MAPLE is used for the solution, obtaining the time-varying functional relationship between concentration of matrix s, the product P and composite c and the rationality of this method is illustrated by an example drawing.
url https://www.cetjournal.it/index.php/cet/article/view/9431
work_keys_str_mv AT caihongfan applicationofdifferentialequationsinenzymekinetics
AT pingli applicationofdifferentialequationsinenzymekinetics
AT yingzhenxue applicationofdifferentialequationsinenzymekinetics
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