Evidence map›Paper›PMID 40584031›Full record

ArticleFrontiers in microbiology2025

Characteristics and driving factors of power generation performance in microbial fuel cells: an analysis based on the CNKI database.

Ruikai Zhang, Wentao Dai, Hongyong Xiang, Jie Chen, Ting Yi, Jiayi Li, Jiebin Zhang, Qiuxi Yang, Rui Xiao, Xiang Li

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Ruikai Zhang *School of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Wentao Dai *School of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Hongyong XiangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Jie ChenSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Ting YiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Jiayi LiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Jiebin ZhangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Qiuxi YangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Rui XiaoSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.
Xiang LiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial fuel cells (MFCs) have become one of the most promising technologies in the field of ecology and environmental science due to their dual functions of power generation and pollutant removal. However, the generally low power generation performance of MFCs is one of the bottlenecks constraining their development, and numerous studies have focused on the improvement of power generation performance. The majority of previous empirical studies were based on single experimental data, which means there may be large differences in experimental conditions and settings, leading to various or even contradictory conclusions. In this study, we collected a total of 10,826 cases from 186 publications in the China National Knowledge Infrastructure Database to quantitatively and systematically investigate the general patterns and driving factors of power generation performance in MFCs. Our results showed that (1) the power density, voltage, and reaction duration were significantly lower (~25%) in this study, while the coulombic efficiency and ambient temperature were significantly higher (13.4-33.1%) than those reported in other meta-analyses or review papers; (2) reaction chamber volume and cathode surface area were stronger predictors for the majority of power generation performance indices than other device configuration indices, especially cathode chamber volume, which explained >70% of the variances in power density and coulombic efficiency; (3) ambient temperature, external resistance, and reaction duration had greater effects on power generation performance than other reaction conditions; and (4) substrates with pre-treatment, especially with biological treatment, showed 10-40% higher values for the majority of power generation performance indices compared to pre-treatment with physical and chemical methods, and solid substrates showed better power generation performance than liquid and fluid substrates for the majority of indices. Our results suggest that dual-chamber systems, larger cathode surface areas, neutral pH levels, ambient temperatures of 30-35°C, and biological pre-treatment of substrates may be helpful in improving the power generation performance of MFCs.

Indexed as

coulombic efficiencycurrent densityelectricity performanceMFCpower density

Identifiers

PMID40584031
PMCPMC12202401

What OpenQuestion holds

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LicenceCC BY
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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.