Evidence map›Paper›PMID 41980934›Full record

ArticleNature communications2026

Strain‒induced spin regulation of stepped Co(111) for boosting peracetic acid magnetocatalysis.

Yinqiao Zhang, Xiaona Zhang, Shuhan Qin, Hao Liang, Yiming Ma, Yan Di, Wei Meng, Sijin Zuo, Minghua Zhou

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. 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.

Yinqiao Zhang *State Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.ORCID http://orcid.org/0009-0009-7466-7039
Xiaona Zhang *State Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Shuhan QinState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Hao LiangState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Yiming MaState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Yan DiState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Wei MengState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China.
Sijin ZuoState Key Laboratory of Natural Medicines, School of Engineering, China Pharmaceutical University, Nanjing, PR China. sjzuo@cpu.edu.cn.ORCID http://orcid.org/0000-0002-1595-1509
Minghua ZhouCollege of Environmental Science and Engineering, Nankai University, Tianjin, PR China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22306201National Natural Science Foundation of China (National Science Foundation of China) 22306202
6 · The paper itself

Abstract

Atomic site-specific reactivity induced by the lattice distortion has garnered increasing research interest for advancing the heterogeneous catalytic conversions, owing to strain-field-tunable electronic structure of the distorted active sites. Here, we prepare the catalysts with reactive center of ferromagnetically nanoparticulate cobalt that is fully exposed by the Co(111) lattice plane with increasing strain. Such sites can boost peracetic acid (PAA) utilization under a mild magnetic field (MF, maximum 500 mT) to produce a bulk of reactive species with high ratio 93.1% R-O

Identifiers

PMID41980934
PMCPMC13254074

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.