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Multicriteria optimization of gluconic acid production using net flow
H Halsall-Whitney1, D Taylor, J Thibault
1Department of Chemical Engineering, University of Ottawa, Ontario, Canada.
Bioprocess and Biosystems Engineering
|September 25, 2003
Summary
This study introduces a multicriteria optimization strategy for biochemical engineering, enhancing gluconic acid production. Controlling oxygen mass transfer (K(L)a) improves productivity and concentration while minimizing residual substrate.
Area of Science:
- Biochemical Engineering
- Operations Research
- Systems Science
Background:
- Biochemical process industries face challenges with multiple, conflicting objectives in decision-making.
- Multicriteria optimization techniques from operations research offer solutions for biochemical engineering.
Purpose of the Study:
- To present a multicriteria optimization strategy for gluconic acid production.
- To determine the optimal operating region using the net flow method (NFM).
- To analyze the impact of oxygen mass transfer coefficient (K(L)a) on the process.
Main Methods:
- Developed a multicriteria optimization strategy to generate a Pareto domain.
- Applied the net flow method (NFM) to optimize conflicting criteria: maximizing gluconic acid productivity and concentration, minimizing residual substrate.
- Investigated sensitivity to K(L)a by employing a multi-level K(L)a strategy.
Main Results:
- Identified optimal operating regions for process inputs, achieving a balance between productivity, gluconic acid concentration, and residual substrate.
- Controlling K(L)a reduced biomass production.
- Increased gluconic acid productivity and concentration compared to a fixed K(L)a.
Conclusions:
- Multicriteria optimization effectively addresses conflicting objectives in biochemical production.
- Dynamic control of K(L)a enhances gluconic acid yield and efficiency.
- The NFM provides a robust framework for optimizing complex biochemical processes.