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Evaluation of methods to predict bacterialyield using thermodynamics
Abstract
Thermodynamic models can be used to predict bacterial yields and develop stoichiometric representation of biological reactions in the absence of empirical data. Several methods have been used by microbiologists, biotechnologists, and environmental engineers. This manuscript illustrates that these formulations are related. Yields predicted by estimation of Gibbs energy of dissipation and yields predicted by assumed efficiency of energy capture are comparable. Direct comparison of yield predictions from different methods shows the effects of assumptions inherent in the methodologies. Mathematical relationships between estimated values from the different methods help identify the best predictions from each method to bound the estimate of bacterial yield.
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An MMR (R = feoRa + fsoRc − Rd) represents the full stoichiometric relationships for a biological process without the experimental yield values commonly required to obtain it.
“With this information, an MMR (R = feoRa + fsoRc − Rd) is written. This reaction represents the full stoichiometric relationships for a biological process without the experimental yield values commonly required to obtain it [12].”
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Metadata
- Authors
- VanBriesen, J. M.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- VanBriesen, Jeanne M.
- Venue
- Biodegradation
- Published
- 2002-06
- Volume
- 13
- Issue
- 3
- Pages
- 171-190
- ISSN
- 0923-9820 (ISSN-L)
- 1572-9729
- OpenAlex
- W21229488
- Cited by
- 74
- References
- 0
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 2 · 2019: 7 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 2 · 2014: 2 · 2013: 8 · 2012: 2
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biodegradation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › thermodynamics and calorimetric analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Environmental Science › Pollution › Wastewater Treatment and Nitrogen Removal
- Keywords
- thermodynamic modeling, energy capture efficiency, microbial metabolism
- MeSH terms
- Algorithms, Bacteria, Citrates, Energy Metabolism, Predictive Value of Tests, Thermodynamics, Reproducibility of Results, Biomass
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