Evidence map›Paper›PMID 34677382›Full record

ArticleMetabolites2021

New Approach for the Construction and Calibration of Gas-Tight Setups for Biohydrogen Production at the Small Laboratory Scale.

Caroline Autenrieth, Shreya Shaw, Robin Ghosh

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Caroline AutenriethInstitute of Biomaterials and Biomolecular Systems, Department of Bioenergetics, University of Stuttgart, Pfaffenwaldring 57, D-70569 Stuttgart, Germany.ORCID 0000-0001-9827-0030
Shreya ShawInstitute of Biomaterials and Biomolecular Systems, Department of Bioenergetics, University of Stuttgart, Pfaffenwaldring 57, D-70569 Stuttgart, Germany.
Robin GhoshInstitute of Biomaterials and Biomolecular Systems, Department of Bioenergetics, University of Stuttgart, Pfaffenwaldring 57, D-70569 Stuttgart, Germany.ORCID 0000-0003-3059-1000

Funding

Bundesministerium für Bildung und Forschung 031B0135Bundesministerium für Wirtschaft und Energie 03EI5407AVector Stiftung P2015-0059
6 · The paper itself

Abstract

Biohydrogen production in small laboratory scale culture vessels is often difficult to perform and quantitate. One problem is that commonly used silicon tubing and improvised plastic connections used for constructing apparatus are cheap and easy to connect but are generally not robust for gases such as hydrogen. In addition, this type of apparatus presents significant safety concerns. Here, we demonstrate the construction of hydrogen-tight apparatus using a commercially available modular system, where plastic tubing and connections are made of explosion-proof dissipative plastic material. Using this system, we introduce a gas chromatograph calibration procedure, which can be easily performed without necessarily resorting to expensive commercial gas standards for the calibration of hydrogen gas concentrations. In this procedure, the amount of hydrogen produced by the reaction of sodium borohydride with water in a closed air-filled bottle is deduced from the observed decrease of the oxygen partial pressure, using the ideal gas law. Finally, the determined calibration coefficients and the gas-tight apparatus are used for the analysis of simultaneous oxygen consumption and hydrogen production of the purple photosynthetic bacterium,

Indexed as

biohydrogencalibrationdark photosynthesisgas chromatographyH2-technologypurple bacteriaRhodospirillum rubrum

Identifiers

PMID34677382
PMCPMC8541310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.