Evidence map›Paper›PMID 42243128›Full record

ArticleNature communications2026

Activating lattice oxygen in metal oxyhydroxides as durable electrodes for industrial-scale seawater splitting.

Weiju Hao, Liugang Wu, Yiming Wang, Pengyu Zhao, Shuo Weng, Jiacheng Zhang, Jinchen Fan, Li Zhai, Yanhui Guo, Hexing Li and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. 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. Spatial Confinement Modulated Ru/WOInternational journal of molecular sciences · 2026
    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

11 authors.

Weiju Hao *University of Shanghai for Science and Technology, Shanghai, China.
Liugang Wu *University of Shanghai for Science and Technology, Shanghai, China.
Yiming WangUniversity of Shanghai for Science and Technology, Shanghai, China.
Pengyu ZhaoUniversity of Shanghai for Science and Technology, Shanghai, China.
Shuo WengUniversity of Shanghai for Science and Technology, Shanghai, China.
Jiacheng ZhangUniversity of Shanghai for Science and Technology, Shanghai, China.
Jinchen FanUniversity of Shanghai for Science and Technology, Shanghai, China.
Li ZhaiSchool of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China. zhaili.chem@gmail.com.ORCID http://orcid.org/0000-0001-8564-8065
Yanhui GuoDepartment of Materials Science, Fudan University, Shanghai, China.
Hexing LiCollege of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai, China. Hexing-Li@shnu.edu.cn.ORCID http://orcid.org/0000-0002-3558-5227
Guisheng LiUniversity of Shanghai for Science and Technology, Shanghai, China. Liguisheng@usst.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocatalytic seawater splitting powered by renewable electricity is a promising route for large-scale green hydrogen production, yet remains challenging due to electrode corrosion and competing chlorine evolution at high current densities. Developing robust and efficient anodic catalysts is therefore essential. Here, we show an in-situ growth strategy to transform iron foam into boron-doped cobalt-iron oxyhydroxide (B-FeCoOOH) nanosheets. Boron incorporation and a disordered lattice generate abundant oxygen vacancies, lowering kinetic barriers for water oxidation. The catalyst requires only 325 mV to deliver 1.0 A cm

Identifiers

PMID42243128
PMCPMC13396501

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.