Evidence map›Paper›PMID 42823419›Full record

ArticleNature communications2026

Proton-gated multisite concerted proton-electron transfer-like pathway in a dual-atom framework for selective water purification.

Sihan Zhou, Yun Yang, Fengzhi Jiang, Shiping Zhang, Ruidong Wang, Xiaoyong Wu, Sihui Zhan

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

7 authors.

Sihan Zhou *School of Chemical Science and Technology, Yunnan University, Kunming, PR China.ORCID http://orcid.org/0000-0002-8840-6800
Yun Yang *School of Chemical Science and Technology, Yunnan University, Kunming, PR China.
Fengzhi JiangSchool of Chemical Science and Technology, Yunnan University, Kunming, PR China. fengzhij@ynu.edu.cn.ORCID http://orcid.org/0000-0001-9189-4254
Shiping ZhangSchool of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, PR China.
Ruidong WangSchool of Chemical Science and Technology, Yunnan University, Kunming, PR China.
Xiaoyong WuFaculty of Environmental Sciences and Engineering, Kunming University of Science and Technology, Kunming, PR China. wxy521@kust.edu.cn.ORCID http://orcid.org/0009-0007-2013-0979
Sihui ZhanSchool of Environmental Science and Engineering, Tianjin University, Tianjin, PR China. shzhan@tju.edu.cn.ORCID http://orcid.org/0000-0003-0366-661X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise oxidant activation is essential for advanced water treatment but is often limited by radical quenching and low oxidant efficiency. Peroxymonosulfate (PMS) is promising; however, directing O-O cleavage towards non-radical pathways requires tightly coupled proton‒electron transfer, which is rarely achieved in heterogeneous catalysts because of spatially mismatched active sites. Here, we report a Co/Ni dual-single-atom metal-organic framework (MOF), in which atomically dispersed Co/Ni sites and adjacent noncoordinated -NH groups form a preorganized local microenvironment for PMS activation. Combined experimental and computational evidence suggests that Ni-assisted electronic coupling facilitates charge redistribution towards Co-bound PMS, while adjacent noncoordinated -NH motifs provide a local proton-relay environment, collectively favoring an MS-CPET-like pathway. This pathway promotes heterolytic O-O cleavage and the formation of a high-valent cobalt-oxo intermediate (Co(IV) = O). Consequently, the catalyst delivers a normalized rate constant of 6.2 × 10

Identifiers

PMID42823419
PMCPMC13631312

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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.