Evidence map›Paper›PMID 41900298›Full record

ArticleMicroorganisms2026

Electrochemically Generated ROS Water for Rapid Disinfection and Biofilm Control in Real Waters.

Wending Zhang, Xuerui Ma, Rongchen Jin, Yukun Wang, Long Ren, Shurong Zhang, Lianyu Shan, Kun Cai, Yan Li

Abstract read
In one paragraph

Article in Microorganisms, 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

9 authors.

Wending ZhangDepartment of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan 430030, China.
Xuerui MaDepartment of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan 430030, China.
Rongchen JinMedical College, Shihezi University, Shihezi 832003, China.
Yukun WangXiaomi Smart Home Appliances (Wuhan) Co., Ltd., Wuhan 430070, China.
Long RenXiaomi Smart Home Appliances (Wuhan) Co., Ltd., Wuhan 430070, China.
Shurong ZhangXiaomi Smart Home Appliances (Wuhan) Co., Ltd., Wuhan 430070, China.
Lianyu ShanXiaomi Smart Home Appliances (Wuhan) Co., Ltd., Wuhan 430070, China.
Kun CaiInstitute of Health Inspection and Testing, Provincial Center for Disease Control and Prevention (Hubei CDC), Wuhan 430079, China.ORCID 0000-0002-4321-133X
Yan LiDepartment of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID 0000-0003-1963-839X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intensifying global challenges of water scarcity and widespread microbial contamination underscore the urgent need for the development of efficient, chemical-free disinfection technologies. Here, we developed a compact boron-doped diamond (BDD)-based electrochemical water treatment system that generates reactive oxygen species (ROS) in situ and evaluated its antimicrobial performance using ROS-on/off controls. Bactericidal efficacy was assessed against representative Gram-negative

Indexed as

biofilm disruptionboron-doped diamondelectrochemical disinfectionreactive oxygen speciesreal water matrices

Identifiers

PMID41900298
PMCPMC13029517

What OpenQuestion holds

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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.