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

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dc.contributor.advisorMöller, Klausen_ZA
dc.contributor.advisorHarrison, STLen_ZA
dc.contributor.authorHughes, Alistair Paulen_ZA
dc.date.accessioned2014-11-05T03:49:10Z
dc.date.available2014-11-05T03:49:10Z
dc.date.issued2014en_ZA
dc.descriptionIncludes bibliographical referencesen_ZA
dc.description.abstractMetabolic 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.identifier.apacitationHughes, 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/11427/9116en_ZA
dc.identifier.chicagocitationHughes, 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/11427/9116en_ZA
dc.identifier.citationHughes, 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.risTY - 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
dc.identifier.urihttp://hdl.handle.net/11427/9116
dc.identifier.vancouvercitationHughes 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/11427/9116en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Chemical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subjectBioprocess Engineering
dc.titleThe accuracy of linear flux models in predicting reaction rate profiles in a model biochemical reaction systemen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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