The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system

 

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dc.contributor.advisor Möller, Klaus en_ZA
dc.contributor.advisor Harrison, STL en_ZA
dc.contributor.author Hughes, Alistair Paul en_ZA
dc.date.accessioned 2014-11-05T03:49:10Z
dc.date.available 2014-11-05T03:49:10Z
dc.date.issued 2014 en_ZA
dc.identifier.citation Hughes, A. 2014. The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/9116
dc.description Includes bibliographical references en_ZA
dc.description.abstract Metabolic flux analysis is commonly used in the modelling of biochemical reactions. The use of MFA models has gained large amounts of interest due to the simplicity of the computational procedures required for the model, and the exclusion of difficult to measure intracellular reaction data. There are many examples of the use of MFA models in literature studies in a number of applications, ranging from the medical industry through to the development of novel biochemical processes. Little to no mention is provided in literature studies regarding the applicability of the MFA model to a specified set of reaction data. Furthermore, the techniques and routines used to compute the flux models are not well described in these studies. The objectives of this research were to determine the sensitivity of the MFA models to various operating and kinetic parameters and to highlight the considerations required when setting up the computational routine used to solve the flux balances. The study was conducted using a model pathway populated with a set of hypothetical elemental reactions and branch points. The model pathway was used in this study to negate the affects of complex regulatory biochemical architectures which are not well described in literature. The use of the model pathway ensured that the reaction system was thermodynamically feasible and there was consistency in the mass balances. The exclusion of the complex regulatory reactions did not affect the accuracy of the results generated in this study. A set of reaction mechanisms were used to describe each reaction step and were populated with parameters reference from literature. The cellular and reactor mass balances were generated using correlations presented in literature. en_ZA
dc.language.iso eng en_ZA
dc.subject Bioprocess Engineering
dc.title The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering and the Built Environment
dc.publisher.department Department of Chemical Engineering en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Hughes, A. P. (2014). <i>The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/9116 en_ZA
dc.identifier.chicagocitation Hughes, Alistair Paul. <i>"The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2014. http://hdl.handle.net/11427/9116 en_ZA
dc.identifier.vancouvercitation Hughes AP. The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9116 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Hughes, Alistair Paul AB - Metabolic flux analysis is commonly used in the modelling of biochemical reactions. The use of MFA models has gained large amounts of interest due to the simplicity of the computational procedures required for the model, and the exclusion of difficult to measure intracellular reaction data. There are many examples of the use of MFA models in literature studies in a number of applications, ranging from the medical industry through to the development of novel biochemical processes. Little to no mention is provided in literature studies regarding the applicability of the MFA model to a specified set of reaction data. Furthermore, the techniques and routines used to compute the flux models are not well described in these studies. The objectives of this research were to determine the sensitivity of the MFA models to various operating and kinetic parameters and to highlight the considerations required when setting up the computational routine used to solve the flux balances. The study was conducted using a model pathway populated with a set of hypothetical elemental reactions and branch points. The model pathway was used in this study to negate the affects of complex regulatory biochemical architectures which are not well described in literature. The use of the model pathway ensured that the reaction system was thermodynamically feasible and there was consistency in the mass balances. The exclusion of the complex regulatory reactions did not affect the accuracy of the results generated in this study. A set of reaction mechanisms were used to describe each reaction step and were populated with parameters reference from literature. The cellular and reactor mass balances were generated using correlations presented in literature. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system TI - The accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction system UR - http://hdl.handle.net/11427/9116 ER - en_ZA


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