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Mathematical models of ABE fermentation: review and analysis
Rahul Mayank1, Amrita Ranjan, Vijayanand S Moholkar
1Department of Chemical Engineering, Indian Institute of Technology Guwahati , Guwahati , India.
Critical Reviews in Biotechnology
|October 18, 2012
Summary
Mathematical models are crucial for optimizing biobutanol (acetone-butanol-ethanol or ABE) fermentation. This review analyzes ABE fermentation models, from basic stoichiometry to complex metabolic pathways, aiding process design and scale-up.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Biofuels Production
Background:
- Biobutanol is a promising liquid biofuel with properties similar to gasoline.
- Acetone-butanol-ethanol (ABE) fermentation is a key process for biobutanol production.
- Understanding ABE fermentation mechanisms is vital for process optimization.
Purpose of the Study:
- To review and analyze mathematical models for ABE fermentation.
- To assess model capabilities in describing ABE fermentation physiology and design.
- To provide insights for scientific and engineering communities involved in ABE fermentation.
Main Methods:
- Literature review of mathematical modeling in ABE fermentation.
- Analysis of model evolution from stoichiometric to metabolic pathway-based models.
- Evaluation of models based on physiological description, design features, and experimental validation.
Main Results:
- ABE fermentation models have evolved significantly, incorporating metabolic pathways and kinetics.
- Models address biomass growth, inhibition, cell retention, and immobilized cultures.
- Downstream processing models for solvent recovery (distillation, extraction, pervaporation) are also reviewed.
Conclusions:
- Mathematical models are essential tools for designing, scaling, and optimizing ABE fermentation.
- A comprehensive understanding of these models aids in advancing biobutanol production.
- This review serves as a valuable resource for researchers and engineers in the field.
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