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Modeling and observer design for recombinant Escherichia coli strain
M Nadri1, I Trezzani, H Hammouri
1L.A.G.E.P., UMR CNRS 5007, Université Claude Bernard Lyon I, CPE-Lyon, Bât 308 G, 43 Bd du 11 Novembre 1918, 69622, Villeurbanne cedex, France.
Bioprocess and Biosystems Engineering
|January 18, 2006
Summary
A mathematical model was created for recombinant bacteria producing foreign proteins. This model aids in controlling complex bioprocesses and estimating substrate consumption during fermentation.
Area of Science:
- Biotechnology
- Bioprocess Engineering
- Mathematical Modeling
Background:
- Recombinant bacteria are crucial for producing foreign proteins.
- Controlling bioprocesses involving recombinant strains, like Escherichia Coli, is complex.
- On-line estimation and control are needed for efficient bioprocess management.
Purpose of the Study:
- To develop a mathematical model for recombinant bacteria, specifically Escherichia Coli, engineered for foreign protein production.
- To facilitate on-line estimation and control within a complex bioprocess.
- To validate the model through experimental batch runs and estimate substrate consumption.
Main Methods:
- Development of a mathematical model incorporating foreign protein production.
- Construction of a recombinant Escherichia Coli strain with plasmid pIT34 for bioluminescence and beta-galactosidase production.
- Design and execution of batch experiments to validate the model.
- Design of a nonlinear observer for parameter identification and estimation.
Main Results:
- A validated mathematical model for recombinant bacteria was established.
- The model facilitates on-line estimation and control in bioprocesses.
- Experimental evaluation demonstrated the model's ability to estimate substrate consumption.
Conclusions:
- The developed mathematical model effectively represents recombinant bacteria for foreign protein production.
- The model and nonlinear observer are suitable for on-line estimation and control of bioprocesses.
- The study successfully validated the model through experimental fermentation, confirming its utility in estimating substrate consumption.