Evidence map›Paper›PMID 37221164›Full record

ArticleNature communications2023

Oxidative cleavage and ammoxidation of organosulfur compounds via synergistic Co-Nx sites and Co nanoparticles catalysis.

Huihui Luo, Shuainan Tian, Hongliang Liang, He Wang, Shuang Gao, Wen Dai

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Huihui Luo *Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
Shuainan Tian *Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
Hongliang LiangDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
He WangSchool of Chemistry and Materials Science, Liaoning Shihua University, Fushun, PR China. hewang@lnpu.edu.cn.ORCID http://orcid.org/0000-0001-7196-4913
Shuang GaoDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.ORCID http://orcid.org/0000-0002-6875-9166
Wen DaiDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China. daiwen@dicp.ac.cn.ORCID http://orcid.org/0000-0002-9098-5215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cleavage and functionalization of C-S bonds have become a rapidly growing field for the design or discovery of new transformations. However, it is usually difficult to achieve in a direct and selective fashion due to the intrinsic inertness and catalyst-poisonous character. Herein, for the first time, we report a novel and efficient protocol that enables direct oxidative cleavage and cyanation of organosulfur compounds by heterogeneous nonprecious-metal Co-N-C catalyst comprising graphene encapsulated Co nanoparticles and Co-Nx sites using oxygen as environmentally benign oxidant and ammonia as nitrogen source. A wide variety of thiols, sulfides, sulfoxides, sulfones, sulfonamides, and sulfonyl chlorides are viable in this reaction, enabling access to diverse nitriles under cyanide-free conditions. Moreover, modifying the reaction conditions also allows for the cleavage and amidation of organosulfur compounds to deliver amides. This protocol features excellent functional group tolerance, facile scalability, cost-effective and recyclable catalyst, and broad substrate scope. Characterization and mechanistic studies reveal that the remarkable effectiveness of the synergistic catalysis of Co nanoparticles and Co-Nx sites is crucial for achieving outstanding catalytic performance.

Identifiers

PMID37221164
PMCPMC10206069

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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.