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Optimization of glycerol fed-batch fermentation in different reactor states: a variable kinetic parameter approach
Dongming Xie1, Dehua Liu, Haoli Zhu
1Institute of Applied Chemistry, Department of Chemical Engineering, Tsinghua University, Beijing, PR China.
Applied Biochemistry and Biotechnology
|June 7, 2002
Summary
Optimizing glycerol fermentation using a variable kinetic parameter (VKP) approach improved productivity by 27%. This method accurately models different bioreactor states for enhanced bioprocess optimization.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Process Optimization
Background:
- Fed-batch fermentation is crucial for bioprocesses like glycerol production.
- Accurate modeling is essential for optimizing reactor performance and productivity.
- Previous models struggled to account for variations across different reactor states.
Purpose of the Study:
- To optimize fed-batch glycerol fermentation across various reactor types.
- To adapt a macrokinetic model using a variable kinetic parameter (VKP) approach.
- To enhance discrete-pulse feeding (DPF) strategies for improved glycerol yield.
Main Methods:
- Investigated glycerol fermentation in shaking flasks and airlift/stirred tank reactors.
- Reestimated two key kinetic parameters related to physical transport phenomena.
- Applied the VKP approach to optimize DPF strategies for glucose and corn steep slurry.
Main Results:
- The VKP approach successfully modeled glycerol fermentation in diverse reactor states.
- Optimized DPF strategies using VKPs increased glycerol productivity by at least 27%.
- Improvements were observed in both scale-down and scale-up reactor conditions.
Conclusions:
- The VKP approach provides a robust method for modeling glycerol fermentation across different reactors.
- Model-based optimization using VKPs significantly enhances bioprocess efficiency.
- This strategy shows promise for scaling up and optimizing similar bioprocesses.
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