Understanding microbial syngas fermentation rates.

Iris Kerkhof, Lars Puiman, Adrie J J Straathof

Abstract readReview

In one paragraph

Review in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Iris KerkhofDepartment of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands.ORCID http://orcid.org/0009-0004-0758-0615

Lars PuimanDepartment of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-4450-3630

Adrie J J StraathofDepartment of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands. a.j.j.straathof@tudelft.nl.ORCID http://orcid.org/0000-0003-2877-4756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syngas fermentation to ethanol has reached industrial production. Further improvement of this process would be aided by quantitative understanding of the influence of imposed reaction conditions on the fermentation performance. That requires a reliable model of the microbial kinetics. Data were collected from 37 steady states in chemostats and from many batch experiments that use Clostridium authoethanogenum. Biomass-specific rates from CO conversion experiments were related to each other according to simple reaction stoichiometries and the Pirt equation, with only the ratio of ethanol to acetate production remaining as degree of freedom. No clear dependency of this ratio on dissolved concentrations, such as CO or acetic acid concentration, was found. This is largely caused by the lack of knowledge about the dependency of the CO uptake rate (and hence all other rates) on the CO concentration. This knowledge gap is caused by a lack of dissolved CO measurements. For dissolved H

Indexed as

Carbon MonoxideClostridiumEthanolFermentationHydrogenAcetatesAcetic AcidBiomassBioreactorsGasesKineticsAcetatesAcetic AcidCarbon MonoxideEthanolGasesHydrogenCarbon monoxideChemostatsClostridium autoethanogenumFermentationKinetic modelSyngas

Identifiers

PMID39704780

DOI10.1007/s00253-024-13364-3

PMCPMC11662053

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.