Cited by 125Microbial Metabolic Engineering and Bioproductionthermodynamics and calorimetric analysesMicrobial metabolism and enzyme function

Thermodynamic electron equivalents model for bacterial yield prediction: Modifications and comparative evaluations

McCarty, Perry L.·2007·Biotechnology and Bioengineering

Abstract

Modifications are made to an earlier thermodynamic model (TEEM1) for prediction of maximum microbial yields from aerobic and anaerobic as well as heterotrophic and autotrophic growth. The revised model (TEEM2) corrects for lower yields found with aerobic oxidations of organic compounds where an oxygenase is involved and with growth on single‐carbon (C1) compounds. TEEM1 and TEEM2 are based on energy release and consumption as determined from the reduction potential or Gibbs free energy of ½‐reaction reduction equations together with losses of energy during energy transfer. Energy transfer efficiency is a key parameter needed to make predictions with TEEM2, and was determined through evaluations with extensive data sets on aerobic heterotrophic yield available in the literature. For compounds following normal catabolic pathways, the best‐fit value for energy transfer efficiency was 0.37, which permitted accurate predictions of growth with a precision of 15%–20% as determined by standard deviation. Using the same energy transfer efficiency, a similar precision, but somewhat less accuracy was found for organic compounds where oxidation involves an oxygenase (estimates 8% too high) and for C1 compounds (estimates 17% too high). In spite of the somewhat lower accuracy, the TEEM2 modifications resulted in improved predictions over TEEM1 and the comparison models. Biotechnol. Bioeng. 2007;97: 377–388. © 2006 Wiley Periodicals, Inc.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/bit.21250

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Kornberg HL, 1966, Anaplerotic sequences and their role in metabolism, 1

Cited by

Sorted by citations

Authors
McCarty, P. L.
Affiliations
Stanford University (US)
Corresponding author
McCarty, Perry L.
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
2006-11-06
Volume
97
Issue
2
Pages
377-388
ISSN
  • 0006-3592 (ISSN-L)
  • 1097-0290
OpenAlex
W2061493800
Cited by
125
References
15
Citations by year
2026: 9 · 2025: 10 · 2024: 4 · 2023: 9 · 2022: 7 · 2021: 7 · 2020: 6 · 2019: 13 · 2018: 9 · 2017: 5 · 2016: 5 · 2015: 7 · 2014: 4 · 2013: 5 · 2012: 8
FWCI
0.45
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
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
Keywords
energy transfer efficiency, Gibbs free energy, redox potential, oxygenase, anaerobic growth, autotrophic growth
MeSH terms
Bacteria, Electrons, Models, Biological, Models, Theoretical, 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