Evidence map›Paper›PMID 40615371›Full record

ArticleNature communications2025

LMCT-driven electron relay unlocks alcohols as tunable reductants for nickel-catalyzed cross-electrophilic couplings.

Shun Wang, Weidi Zeng, Qing An, Lingfei Duan, Zhiwei Zuo

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. 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

5 authors.

Shun Wang *State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai, China.
Weidi Zeng *State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai, China.
Qing AnState Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai, China.
Lingfei DuanState Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai, China.
Zhiwei ZuoState Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai, China. zuozhw@sioc.ac.cn.ORCID http://orcid.org/0000-0002-3361-3220

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22125111, 21971163
6 · The paper itself

Abstract

Photoinduced electron transfer is fundamental to both biological and synthetic processes; however, modulating back electron transfer (BET) remains a formidable challenge in achieving more efficient photocatalytic transformations. In this work, we present a strategy to regulate electron transfer dynamics via ligand-to-metal charge transfer (LMCT) catalysis, wherein the rapid β-scission of alkoxy radicals is harnessed to suppress BET, thereby facilitating the efficient transfer of reducing equivalents to drive transition metal-mediated reductive cross-coupling reactions. By strategically utilizing a diverse array of alcohol reductants, such as methanol and pinacol, we employ a cerium benzoate catalyst to enable reductive processes not through modulation of redox potentials, but by promoting synchronized electron transfer. Detailed mechanistic investigations reveal that the photoinduced electron relay process, governed by LMCT-BET, plays a pivotal role in effectively delivering reducing equivalents to catalytic sites, underscoring its significance in optimizing catalytic efficiency.

Identifiers

PMID40615371
PMCPMC12227714

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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.