Evidence map›Paper›PMID 41212895›Full record

ArticlePloS one2025

Thermophilic microbiome acclimation for enhanced anaerobic digestion of food waste: Optimization and performance evaluation.

Hengxuan Shao, Chunle Yuan, Jingwen Qiang, Wei Hua, Yanling Cheng, Wanqing Wang

Abstract read
In one paragraph

Article in PloS one, 2025. 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

6 authors.

Hengxuan ShaoBiochemical Engineering College, Beijing Union University, Beijing, China.
Chunle YuanBiochemical Engineering College, Beijing Union University, Beijing, China.ORCID https://orcid.org/0009-0005-9417-3299
Jingwen QiangBiochemical Engineering College, Beijing Union University, Beijing, China.
Wei HuaBiochemical Engineering College, Beijing Union University, Beijing, China.
Yanling ChengBiochemical Engineering College, Beijing Union University, Beijing, China.
Wanqing WangBiochemical Engineering College, Beijing Union University, Beijing, China.ORCID https://orcid.org/0009-0009-8194-0566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermophilic anaerobic digestion (TAD) represents a promising approach for food waste (FW) treatment, offering significant advantages including accelerated reaction rates and increased volumetric biogas yield. However, the practical application of TAD is hindered by both the limited availability of thermophilic methanogenic consortia and heightened sensitivity to organic loading rate (OLR) fluctuations. In this study, a two-stage temperature shift strategy from mesophilic to thermophilic was implemented to establish a stable methanogenic community. The results showed that daily biogas yield increased steadily with rising fermentation temperature, reaching to a peak of 671.2 ml at 55 °C, which were 60.8% higher than that of mesophilic digestion. Microbial community analysis revealed that TAD increased the abundance of dominant hydrolytic bacteria (e.g., Defluviitoga) and hydrogenotrophic methanogen (e.g., Methanoculleus), consequently enhancing biogas production efficiency. Moreover, gradually increasing the OLR from 1.5 to 4 g VS/(L·d) significantly enhanced both biogas production and CH4 content, achieving a peak daily biogas yield of 2264.8 ml with sustained CH4 concentration stability (72-76%).

Indexed as

FoodMicrobiotaRefuse DisposalAcclimatizationAnaerobiosisBacteriaBiofuelsBioreactorsFermentationFood Loss and WasteMethaneTemperatureBiofuelsFood Loss and WasteMethane

Identifiers

PMID41212895
PMCPMC12599915

What OpenQuestion holds

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Registered trials

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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.