Evidence map›Paper›PMID 42560498›Full record

ArticleBioprocess and biosystems engineering2026

Kinetic profiles and efficiency disparities in biomethane production mediated by indigenous versus exogenous microbial consortia.

Xueru Chen, Yuan Bao, Xingui Wang, Yiliang Hu, Zexi Zhu

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2026. 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
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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

5 authors.

Xueru ChenCollege of Geology and Environment, Xi'an University of Science and Technology, No.58 Yanta Road, Xi'an, 710054, China.
Yuan BaoCollege of Geology and Environment, Xi'an University of Science and Technology, No.58 Yanta Road, Xi'an, 710054, China. y.bao@foxmail.com.ORCID http://orcid.org/0000-0001-6848-7431
Xingui WangDatong Wuguantun Coal Industry Co., Ltd, Datong, 037000, China.
Yiliang HuCollege of Geology and Environment, Xi'an University of Science and Technology, No.58 Yanta Road, Xi'an, 710054, China.
Zexi ZhuCollege of Geology and Environment, Xi'an University of Science and Technology, No.58 Yanta Road, Xi'an, 710054, China.

Funding

the National Natural Science Foundation of China 42172200
6 · The paper itself

Abstract

Biomethane is a clean, renewable, and eco-friendly unconventional natural gas resource that has attracted widespread global attention. However, the differences in biomethane generation and the constraining factors under the drive of indigenous versus exogenous microorganisms remain unclear. To address this, anaerobic fermentation experiments simulating coal‑derived biomethane generation were conducted using two distinct microbial sources: indigenous microorganisms enriched from fresh coal samples from the study area and exogenous microorganisms optimized under laboratory conditions. Five representative coal samples from the Wuguantun and Baode mining areas were used as carbon substrates. The efficiency of biomethane production was evaluated based on gas chromatography and analysis using four kinetic models. By integrating methods including coal petrographic and proximate analyses, 16 S rRNA high-throughput sequencing, and Fourier transform infrared spectroscopy, principal component analysis and metabolic pathway analysis were applied to systematically elucidate the main controlling factors and synergistic mechanisms governing biomethane generation. The results indicate that although both indigenous and exogenous microorganisms follow a similar three‑stage process during coal‑degrading methanogenesis, their gas production efficiencies differ significantly. Bioaugmentation with exogenous microbial consortia systematically optimized the biomethane generation process, increasing the maximum methane potential (A

Indexed as

MethaneMicrobial ConsortiaCoalKineticsCoalMethaneBiomethaneConstraining factorsExogenous microorganismsIndigenous microorganismsKinetic modelMethanogenic pathway

Identifiers

PMID42560498

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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.