Evidence map›Paper›PMID 40005132›Full record

ArticleMolecules (Basel, Switzerland)2025

S- and N-Co-Doped Carbon-Nanoplate-Encased Ni Nanoparticles Derived from Dual-Ligand-Assembled Ni-MOFs as Efficient Electrocatalysts for the Oxygen Evolution Reaction.

Huijuan Han, Yalei Zhang, Chunrui Zhou, Haixin Yun, Yiwen Kang, Kexin Du, Jianying Wang, Shujun Chao, Jichao Wang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

9 authors.

Huijuan HanSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Yalei ZhangSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Chunrui ZhouSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Haixin YunSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Yiwen KangSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Kexin DuSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
Jianying WangHenan Provincial Ecological Environment Monitoring and Safety Center, Department of Ecology and Environment of Henan Province, Zhengzhou 450046, China.
Shujun ChaoXinxiang Engineering Technology Research Center of Functional Medical Nanomaterials, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Jichao WangSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.ORCID 0000-0001-7685-318X

Funding

National Natural Science Foundation of China 51802082Training Program for Young Backbone Teachers in Higher Education 2024GGJS101
6 · The paper itself

Abstract

To achieve the "double carbon" goal, it is urgent to reform the energy system. The oxygen evolution reaction (OER) is a vital semi-reaction for many new energy-storage and conversion devices. Metal nanoparticles embedded in heteroatom-doped carbon materials prepared by the pyrolyzing of metal-organic frameworks (MOFs) have been a key route to obtain high-performance electrochemical catalysts. Herein, a nanocatalyst embedding Ni nanoparticles into S- and N-co-doped carbon nanoplate (Ni NPs@SN-CNP) has been synthesized by pyrolysis of a Ni-MOF precursor. The prepared Ni NPs@SN-CNP exhibits superior oxygen evolution performance with an overpotential of 256 mV to attain 10 mA cm

Indexed as

heteroatom-doped electrocatalystsmetal–organic frameworksoxygen evolution reactions

Identifiers

PMID40005132
PMCPMC11858542

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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.