Team:Edinburgh/Cellulases (MATLAB model)
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[[File:Edinburgh-Rate-1.png|thumb|left|700px|Cellulose to Cellobiose Reaction with competitive Glucose, Cellobiose Inhibition]] | [[File:Edinburgh-Rate-1.png|thumb|left|700px|Cellulose to Cellobiose Reaction with competitive Glucose, Cellobiose Inhibition]] | ||
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Revision as of 13:08, 6 September 2011
Cellulases (MATLAB model)
The most important part of the biorefinery is the reactor where cellulose is converted to glucose. But accurately predicting how much is converted, using synergy between enzymes is difficult without literature to provide the ordinary differential equations (ODE's) and the kinetic parameters. Therefore this model only looks at the free floating enzyme approach (non-synergy). It is deterministic i.e non random and is set by a series of initial conditions.
Contents |
Assumptions
The mathematical model is based on the ODE's and kinetic parameters outlined in [http://onlinelibrary.wiley.com/doi/10.1021/bp034316x/full Kadam et al, 2004]. The following are its assumptions and basis:
- Rate equations assume enzyme adsorption follows the Langmuir isotherm model
- Glucose and cellobiose which are the products of cellulose hydrolysis, were assumed to, 'competitively inhibit enzyme hyrolysis' [http://onlinelibrary.wiley.com/doi/10.1021/bp034316x/full Kadam et al, 2004]
- Assume all reactions follow the same temperature dependency Arrhenius relationship. However it should be different for every enzyme component, 'because of their varying degrees of thermostability, with beta-glucocidase being the most thermostable. Hence the assumption is a simplification of reality' [http://onlinelibrary.wiley.com/doi/10.1021/bp034316x/full Kadam et al, 2004]
- Conversion of cellobiose to glucose follows the Michaelis-Menten enzyme kinetic model
Equations
Rate Equations
References
- Kadam KL, Rydholm EC, McMillan JD (2004) [http://onlinelibrary.wiley.com/doi/10.1021/bp034316x/full Development and Validation of a Kinetic Model for Enzymatic Saccharification of Lignocellulosic Biomass]. Biotechnology Progress 20(3): 698–705 (doi: 10.1021/bp034316x).