The DOI matches its Crossref record.
Expanded thermodynamic model for microbial true yield prediction
Abstract
Thermodynamic methods to predict true yield and stoichiometry of bacterial reactions have been widely used in biotechnology and environmental engineering. However, yield predictions are often inaccurate for certain simple organic compounds. This work evaluates an existing method and identifies the cause of prediction errors for compounds with low degree of reductance of carbon. For these compounds, carbon, not energy or reducing equivalents, constrains growth. Existing thermodynamically‐based models do not account for the potential of carbon‐limited growth. The improved method described here consists of four balances: carbon balance, nitrogen balance, electron balance, and energy balance. Two efficiency terms, K 1 and K 2 are defined and estimated from a priori analysis. The results show that K 1 and K 2 are nearly the same in value so that only one coefficient, K = 0.41 is used in the modified model. Comparisons with observed yields show that use of the new model and parameters results in significantly improved yield estimation based on inclusion of the carbon balance. The average estimation error is less than 6% for the data set presented. © 2005 Wiley Periodicals, Inc.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In most common cases, the q value ranges from 0 to 4.
“But in the most common cases, the “q” value ranges from 0 to 4.”
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 41
- 10.1061/(ASCE)0733-9372(1994)120:5(1327) · DOI
- 10.1023/A:1008317906069 · DOI
- Baas‐Becking LGM, 1927, Energy relations in the metabolism of autotrophic Bacteria, Physiol Revs, 7, 85, 10.1152/physrev.1927.7.1.85 · DOI
- Bauchop T, 1958, Observations on some molar growth yields of bacteria and yeasts, J General Microbiol, 18, vii
- 10.1099/00221287-23-3-457 · DOI
- Beller HR, 1996, Isolation and characterization of a novel toluene‐degrading, sulfate‐reducing bacterium, Appl Environ Microbiol, 62, 1188, 10.1128/aem.62.4.1188-1196.1996 · DOI
- 10.1201/9781420055962 · DOI
- Benjamin MM, 2002, Water chemistry
- Burland S, 1999, Anaerobic benzene biodegradation linked to nitrate reduction, Appl Environ Microbiol, 65, 529, 10.1128/AEM.65.2.529-533.1999 · DOI
- 10.1038/1811594a0 · DOI
- 10.1016/0043-1354(94)90309-3 · DOI
- Edwards EA, 1994, Anaerobic degradation of toluene and o‐xylene by a methanogenic consortium, Appl Environ Microbiol, 60, 313, 10.1128/aem.60.1.313-322.1994 · DOI
- 10.1016/S0043-1354(98)00041-4 · DOI
- 10.1002/bit.260230407 · DOI
- 10.1002/bit.260390806 · DOI · Paper page
- 10.1002/bit.260401003 · DOI
- 10.1002/bit.260440210 · DOI
- 10.1111/j.1574-6968.1978.tb01891.x · DOI
- McCarty PL, Advances in water pollution research: Proceedings of the 2nd International Conference on Water Pollution Research, 169
- McCarty PL, 1969, Energetics and bacterial growth. The Fifth Rudolf Research Conference
- 10.1046/j.1462-2920.2003.00535.x · DOI
- McCarty PL, 1972, Water pollution microbiology
- McCartyPL.1972b.Stoichiometry of biological reactions. Paper presented at the International Conference toward a Unified Concept of Biological Waste Treatment Design.
- McCarty PL, 1975, Stoichiometry of biological reactions, Progress in Water Technology, 7, 157
- 10.1016/S0043-1354(03)00015-0 · DOI
- 10.1002/(SICI)1097-0290(19980920)59:6<732::AID-BIT10>3.0.CO;2-7 · DOI
- 10.1016/S0273-1223(99)00065-7 · DOI
- Rittmann BE, 2001, Environmental biotechnology: Principles and applications
- 10.1002/bit.260221202 · DOI
- Roels JA, 1983, Energetics and kinetics in biotechnology
- 10.1016/S0005-2728(89)80436-0 · DOI
- 10.1002/bit.260380704 · DOI
- 10.1002/(SICI)1097-0290(19990705)64:1<74::AID-BIT8>3.0.CO;2-3 · DOI
- 10.1128/br.26.2_pt_1-2.95-107.1962 · DOI
- 10.1023/A:1013179315518 · DOI
- 10.1023/A:1020887214879 · DOI · Paper page
- 10.1002/(SICI)1097-0290(20000105)67:1<35::AID-BIT5>3.0.CO;2-G · DOI
- 10.1023/A:1011162830401 · DOI
- Yuan Z, 2004, The role of oxygenation and intermediates in biodegradation of chelating agents
- 10.1002/bit.10355 · DOI
- 10.1016/S0043-1354(97)00258-3 · DOI
Cited by
Sorted by citations
McCarty, P. L. (2007) · Biotechnology and Bioengineering · doi:10.1002/bit.21250 · Cited by 125
Araujo Granda, P., Gras, A., & Ginovart, M. (2016) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2016.08.001 · Cited by 9
Metadata
- Authors
- Xiao, J., & VanBriesen, J. M.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- VanBriesen, Jeanne M.
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 2005-12-12
- Volume
- 93
- Issue
- 1
- Pages
- 110-121
- ISSN
- 0006-3592 (ISSN-L)
- 1097-0290
- OpenAlex
- W2118046104
- Cited by
- 40
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 5 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 3
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biotechnology and Bioengineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › thermodynamics and calorimetric analyses
- Physical Sciences › Environmental Science › Environmental Engineering › Microbial Fuel Cells and Bioremediation
- Keywords
- carbon balance, nitrogen balance, electron balance, energy balance
- MeSH terms
- Bacteria, Models, Biological, Thermodynamics, Bacterial Physiological Phenomena
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review