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Dynamic modeling and optimal fed-batch feeding strategies for a two-phase partitioning bioreactor
S M Cruickshank1, A J Daugulis, P J McLellan
1Department of Chemical Engineering, Queen's University, Kingston, Ontario, Canada K7L 3N6.
Biotechnology and Bioengineering
|December 11, 1999
Summary
A new dynamic model optimizes phenol degradation in bioreactors by considering factors like oxygen limitation. This model significantly enhances phenol consumption compared to traditional methods.
Area of Science:
- Biochemical Engineering
- Environmental Biotechnology
- Process Systems Engineering
Background:
- Phenol biodegradation in two-phase partitioning bioreactors is complex.
- Key factors include substrate transfer, inhibition, oxygen, and cell loss.
Purpose of the Study:
- Develop a dynamic model for phenol degradation.
- Optimize fed-batch phenol feeding strategies using dynamic programming.
Main Methods:
- Mechanistic balances for bioreactor modeling.
- Incorporation of substrate transfer, inhibition, oxygen limitation, and cell entrainment.
- Iterative Dynamic Programming for optimal control.
Main Results:
- Model validation showed good correlation with experimental data.
- Optimal feeding strategies significantly increased phenol consumption.
- Example: 45.73 g phenol consumed in 50 h vs. 10.26 g.
Conclusions:
- The developed dynamic model accurately predicts phenol degradation.
- Optimal feeding policies substantially improve bioreactor efficiency.
- Oxygen limitation is a critical factor impacting performance.