Cited by 74thermodynamics and calorimetric analysesMicrobial Metabolic Engineering and BioproductionWastewater Treatment and Nitrogen Removal

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Evaluation of methods to predict bacterialyield using thermodynamics

VanBriesen, Jeanne M.·2002·Biodegradation

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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Crossref · 10.1023/a:1020887214879

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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
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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