Evidence map›Paper›PMID 41872232›Full record

ArticleNature communications2026

Dynamic ligand-vacancy engineering drives metal dimerization for efficient urea electrooxidation.

Mingjie Wu, Jian Luo, Xiaoya Zhan, Junjie Zheng, Xun Cui, Yuanyuan Luo, Yingkui Yang

Abstract read
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. Review
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

7 authors.

Mingjie WuState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China.ORCID http://orcid.org/0000-0002-3139-401X
Jian LuoState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China.
Xiaoya ZhanState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China.
Junjie ZhengState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China.
Xun CuiState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China.ORCID http://orcid.org/0000-0003-4486-7397
Yuanyuan LuoHubei Key Laboratory for New Textile Materials and Applications, School of Materials Science and Engineering, Wuhan Textile University, Wuhan, China.
Yingkui YangState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, China. ykyang@wtu.edu.cn.ORCID http://orcid.org/0000-0002-6221-9134

Funding

Department of Science and Technology, Hubei Provincial People's Government (Hubei Provincial Department of Science and Technology) 2024CSA076National Natural Science Foundation of China (National Science Foundation of China) 22208331National Natural Science Foundation of China (National Science Foundation of China) 52173091National Natural Science Foundation of China (National Science Foundation of China) 52373087
6 · The paper itself

Abstract

The electrochemical urea oxidation reaction offers environmental benefits by enabling hydrogen generation and nitrogen recycling. However, catalyst instability caused by surface reconstruction remains a challenge. Here, we develop a heteronuclear vacancy-to-bond strategy that achieves both catalytic activation and structural preservation via atomic-level self-optimization. Using Fe-doped bimetallic frameworks, we construct a self-adaptive coordination microenvironment that dynamically generates controllable ligand vacancies while promoting metal dimerization, leading to shortened interatomic distances. The resulting ligand-vacancy-mediated stabilization delivers an low potential of 1.222 V @ 10 mA cm

Identifiers

PMID41872232
PMCPMC13171968

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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.