Evidence map›Paper›PMID 35872819›Full record

ArticleChemical science2022

Photoinduced inverse Sonogashira coupling reaction.

Lizhu Zhang, Cunbo Wei, Jiawen Wu, Dan Liu, Yinchao Yao, Zhuo Chen, Jianxun Liu, Chang-Jiang Yao, Dinghua Li, Rongjie Yang and 1 more

Abstract read
In one paragraph

Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

11 authors.

Lizhu ZhangSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Cunbo WeiSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Jiawen WuSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Dan LiuSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Yinchao YaoSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Zhuo ChenSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.ORCID https://orcid.org/0000-0002-0671-4974
Jianxun LiuSchool of Mechatronical Engineering, Beijing Institute of Technology Beijing 100081 China.
Chang-Jiang YaoSchool of Mechatronical Engineering, Beijing Institute of Technology Beijing 100081 China.ORCID https://orcid.org/0000-0003-0236-1742
Dinghua LiSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Rongjie YangSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.
Zhonghua XiaSchool of Materials Science & Engineering, Beijing Institute of Technology Beijing 100081 China zhonghua.xia@bit.edu.cn.ORCID https://orcid.org/0000-0001-5737-831X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alkynes are widely used in chemistry, medicine and materials science. Here we demonstrate a transition-metal and photocatalyst-free inverse Sonogashira coupling reaction between iodoalkynes and (hetero)arenes or alkenes under visible-light irradiation. Mechanistic and computational studies suggest that iodoalkynes can be directly activated by visible light irradiation, and an excited state iodoalkyne acted as an "alkynyl radical synthetic equivalent", reacting with a series of C(sp

Identifiers

PMID35872819
PMCPMC9241966

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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.