Evidence map›Paper›PMID 32190118›Full record

ArticleBiotechnology for biofuels2020

Microbial insights of enhanced anaerobic conversion of syngas into volatile fatty acids by co-fermentation with carbohydrate-rich synthetic wastewater.

Chao Liu, Wen Wang, Sompong O-Thong, Ziyi Yang, Shicheng Zhang, Guangqing Liu, Gang Luo

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
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  7. Hydrogen as a Co-electron Donor for Chain Elongation With Complex Communities.Frontiers in bioengineering and biotechnology · 2021
    Article
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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

7 authors at 2 institutions in 2 countries.

Chao Liu1Biomass Energy and Environmental Engineering Research Center, Beijing University of Chemical Technology, Beijing, 100029 China.
Wen Wang1Biomass Energy and Environmental Engineering Research Center, Beijing University of Chemical Technology, Beijing, 100029 China.ORCID 0000-0002-5100-8315
Sompong O-Thong2Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environment Science and Engineering, Fudan University, Shanghai, 200433 China.
Ziyi Yang1Biomass Energy and Environmental Engineering Research Center, Beijing University of Chemical Technology, Beijing, 100029 China.
Shicheng Zhang2Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environment Science and Engineering, Fudan University, Shanghai, 200433 China.
Guangqing Liu1Biomass Energy and Environmental Engineering Research Center, Beijing University of Chemical Technology, Beijing, 100029 China.
Gang Luo2Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environment Science and Engineering, Fudan University, Shanghai, 200433 China.
Fudan University · CNBeijing University of Chemical Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe co-fermentation of syngas (mainly CO, H

resultsIt was found that co-fermentation of syngas with carbohydrate-rich synthetic wastewater could enhance the conversion efficiency of syngas and the most efficient conversion of syngas was obtained by co-fermentation of syngas with 5 g/L glucose, which resulted in 25% and 43% increased conversion efficiencies of CO and H

conclusionsThese results demonstrated that the co-fermentation with syngas and carbohydrate-rich wastewater could be a promising technology to increase the conversion of syngas to VFAs. In addition, the syngas and glucose co-fermentation system could change the degradation pathway of glucose in co-fermentation and produce fatty acids with longer carbon chain supported by microbial community and label-free quantitative proteomic analysis. The above results are innovative and lead to achieve effective conversion of syngas into VFAs/longer chain fatty acids, which would for sure have a great interest for the scientific and engineering community. Furthermore, the present study also used the combination of high-throughput sequencing of 16S rRNA genes, qPCR analysis and label-free quantitative proteomic analysis to provide deep insights of the co-fermentation process from the taxonomic and proteomic aspects, which should be applied for future studies relating with anaerobic fermentation.

Indexed as

AcetogenCo-fermentationLabel-free quantitative proteomic analysisqPCR analysisVolatile fatty acid

Identifiers

PMID32190118
PMCPMC7076986
OpenAlexW3012639091

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.