Metabolic modeling of synthesis gas fermentation in bubble column reactors
Open accessAbstract
BACKGROUND: A promising route to renewable liquid fuels and chemicals is the fermentation of synthesis gas (syngas) streams to synthesize desired products such as ethanol and 2,3-butanediol. While commercial development of syngas fermentation technology is underway, an unmet need is the development of integrated metabolic and transport models for industrially relevant syngas bubble column reactors. RESULTS: We developed and evaluated a spatiotemporal metabolic model for bubble column reactors with the syngas fermenting bacterium Clostridium ljungdahlii as the microbial catalyst. Our modeling approach involved combining a genome-scale reconstruction of C. ljungdahlii metabolism with multiphase transport equations that govern convective and dispersive processes within the spatially varying column. The reactor model was spatially discretized to yield a large set of ordinary differential equations (ODEs) in time with embedded linear programs (LPs) and solved using the MATLAB based code DFBAlab. Simulations were performed to analyze the effects of important process and cellular parameters on key measures of reactor performance including ethanol titer, ethanol-to-acetate ratio, and CO and H2 conversions. CONCLUSIONS: Our computational study demonstrated that mathematical modeling provides a complementary tool to experimentation for understanding, predicting, and optimizing syngas fermentation reactors. These model predictions could guide future cellular and process engineering efforts aimed at alleviating bottlenecks to biochemical production in syngas bubble column reactors.
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Based on the C. ljungdahlii genome-scale model, spatiotemporal modeling of gas fermentation in a bubble column was performed recently.
“Based on the C. ljungdahlii GEM, spatiotemporal modeling of gas fermentation in a bubble column was performed recently (Chen et al., 2015, 2016).”
From Gas Fermentation—A Flexible Platform for Commercial Scale Production of Low-Carbon-Fuels and Chemicals from Waste and Renewable Feedstocks (2016) · cites this paper as Chen et al., 2015
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- Authors
- Chen, J., Gomez, J. A., Höffner, K., Barton, P. I., & Henson, M. A.
- Affiliations
- University of Massachusetts Amherst (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Henson, Michael A.
- Venue
- Biotechnology for Biofuels
- Published
- 2015-06-20
- Volume
- 8
- Issue
- 1
- Pages
- 89-89
- ISSN
- 1754-6834 (ISSN-L)
- PMC
- PMC4477499
- OpenAlex
- W1603494243
- Cited by
- 61
- References
- 35
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 8 · 2020: 5 · 2019: 6 · 2018: 8 · 2017: 5 · 2016: 7 · 2015: 3
- FWCI
- 3.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Biotechnology for Biofuels (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Scholarworks (University of Massachusetts Amherst) (submittedVersion, cc-by)
- Funders
- ReCommunity Recycling (ID0EQDAE182)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Physical Sciences › Engineering › Biomedical Engineering › Fluid Dynamics and Mixing
- Keywords
- syngas fermentation, bubble column, Clostridium ljungdahlii, metabolic modeling, multiphase transport, genome-scale metabolic reconstruction, ethanol production, 2,3-butanediol, CO and H2 conversion
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