Evidence map›Paper›PMID 36973588›Full record

ArticleBioprocess and biosystems engineering2023

The effect of light emission spectrum on biohydrogen production by Rhodopseudomonas palustris.

Catharine Elizabeth Bosman, Robert William McClelland Pott, Steven Martin Bradshaw

Open access · hybridAbstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. Purple non-sulfur bacteria for biotechnological applications.Journal of industrial microbiology & biotechnology · 2024
    Review
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 at 1 institution in 1 country.

Catharine Elizabeth BosmanDepartment of Process Engineering, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.ORCID http://orcid.org/0000-0002-5369-2739
Robert William McClelland PottDepartment of Process Engineering, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa. rpott@sun.ac.za.ORCID http://orcid.org/0000-0002-2712-6469
Steven Martin BradshawDepartment of Process Engineering, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.ORCID http://orcid.org/0000-0001-6323-8137
Stellenbosch University · ZA

Funding

Water Research Commission 2019/2020-00063
6 · The paper itself

Abstract

Photofermentative hydrogen production has gained increasing attention as a source of green energy. To make such photofermentation processes economically competitive, operating costs need to be reduced, possibly through outdoor operation. Because photofermentation processes are light dependent, the emission spectrum and intensity of light both have a significant influence on the hydrogen production and merit investigation. This study investigates the effect of light sources on the hydrogen production and growth of Rhodopseudomonas palustris, comparing the organism's productivity under longer-wavelength light and light mimicking sunlight. Hydrogen production is enhanced under longer-wavelength light, producing 26.8% (± 7.3%) more hydrogen as compared to under light mimicking that of sunlight; however, R. palustris is still able to produce a considerable volume of hydrogen under light with a spectrum mimicking that of sunlight, providing a promising avenue for future research.

Indexed as

LightRhodopseudomonasHydrogenHydrogenEmission spectrumIlluminationPhotobioreactorPhotofermentationRhodopseudomonas palustris

Identifiers

PMID36973588
PMCPMC10156807
OpenAlexW4361190088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.