Evidence map›Paper›PMID 40697076›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Alkali Metal Cations Impact the Selectivity of Radical-Mediated Electrochemical C─H Chlorination.

Bo Wu, Ruihu Lu, Tenghui Yuan, Beijing Cai, Bingqing Wang, Bote Zhao, Shibo Xi, Ziyun Wang, Yanwei Lum

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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

9 authors.

Bo Wu *Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117580, Republic of Singapore.
Ruihu Lu *School of Chemical Sciences, The University of Auckland, Auckland, 1142, New Zealand.
Tenghui Yuan *School of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
Beijing CaiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117580, Republic of Singapore.
Bingqing WangDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117580, Republic of Singapore.
Bote ZhaoSchool of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
Shibo XiInstitute of Sustainability for Chemical, Energy and Environment (ISCE2), Agency for Science, Technology and Research (A*STAR), 1 Pesek Road, 627833, Republic of Singapore.
Ziyun WangSchool of Chemical Sciences, The University of Auckland, Auckland, 1142, New Zealand.
Yanwei LumDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117580, Republic of Singapore.ORCID https://orcid.org/0000-0001-7261-2098

Funding

Catalyst: Seeding General 24-UOA-048-CSGMarsden Fund Council from Government 21-UOA-237NRF Fellowship NRF-NRFF14-2022-0003
6 · The paper itself

Abstract

Electrochemistry offers a promising route toward facilitating organic transformation reactions in a sustainable manner. However, there are often a multitude of factors at play; hence, it can be unclear how operating conditions can be rationally tuned to optimize selectivity. Here, we demonstrate how the identity of alkali metal cations in the electrolyte can control the selectivity of electrochemical C─H chlorination. Specifically, we obtained a 90.3% Faradaic efficiency with KCl as compared to 78.4% with LiCl for the conversion of cyclohexane to chlorocyclohexane at 1000 mA using an IrO

Indexed as

CationsChlorinationElectrochemistry

Identifiers

PMID40697076
PMCPMC12402841

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.