Evidence map›Paper›PMID 42369541›Full record

ArticleFrontiers in microbiology2026

Effects of voltage application on hydrogen production performance and stabilization in an electro-supported dynamic membrane bioreactor.

Young-Bo Sim, Sang-Hyoun Kim

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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
–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

2 authors.

Young-Bo SimDepartment of Civil and Environmental Engineering, Yonsei University, Seoul, Republic of Korea.
Sang-Hyoun KimDepartment of Civil and Environmental Engineering, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A novel electro-supported dynamic membrane bioreactor (EDMBR) was by integrating electrode function into a dynamic membrane module made of a stainless steel mesh support with a pore size of 444 mm. This work aimed to investigate the effects of voltage application on stabilization time, hydrogen production performance, metabolic pathway shift, and microbial community change during continuous hydrogen production. Methods: Two independent EDMBR systems were operated under continuous conditions at different applied voltages ranging from 30 to 700 mV. Hydrogen production performance, soluble byproducts, suspended biomass, biofilm concentration, and microbial community were analyzed under different operational conditions. Results: Voltage application in the EDMBR influenced both process stabilization and biological responses during continuous biohydrogen production. Electrical input was associated with accelerated stabilization time through improved biomass retention, whereas sustained voltage application was related to a shift in metabolic pathways and changes in microbial community. Voltage application reduced the stabilization time required to reach pseudo-steady-state from 8 days to 3 days. However, excessive electrical input was associated with decreased hydrogen production performance and localized corrosion of the electro-supported mesh under elevated current density conditions. Discussion: These results indicate a trade-off between rapid stabilization and hydrogen production performance under voltage application, suggesting that electrical input should be strategically managed rather than continuously intensified. An operational window from 0.30 to 1.21 mA/cm

Indexed as

biofilmdark fermentationelectro-supported dynamic membrane bioreactorhydrogen productionrapid stabilization time

Identifiers

PMID42369541
PMCPMC13294094

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.