Evidence map›Paper›PMID 39516385›Full record

ArticleNature nanotechnology2025

Full on-device manipulation of olefin metathesis for precise manufacturing.

Yilin Guo, Chen Yang, Lei Zhang, Yujie Hu, Jie Hao, Chuancheng Jia, Yang Yang, Yan Xu, Xingxing Li, Fanyang Mo and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 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

13 authors.

Yilin Guo *Beijing National Laboratory for Molecular Sciences, National Biomedical Imaging Centre, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China.
Chen Yang *Beijing National Laboratory for Molecular Sciences, National Biomedical Imaging Centre, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China.
Lei Zhang *Beijing National Laboratory for Molecular Sciences, National Biomedical Imaging Centre, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China.ORCID http://orcid.org/0000-0001-9031-4318
Yujie HuDepartment of Chemical Physics, University of Science and Technology of China, Hefei, People's Republic of China.
Jie HaoCentre of Single-Molecule Sciences, Institute of Modern Optics, Frontiers Science Centre for New Organic Matter, College of Electronic Information and Optical Engineering, Nankai University, Tianjin, People's Republic of China.
Chuancheng JiaCentre of Single-Molecule Sciences, Institute of Modern Optics, Frontiers Science Centre for New Organic Matter, College of Electronic Information and Optical Engineering, Nankai University, Tianjin, People's Republic of China.
Yang YangDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-4956-2034
Yan XuBeijing National Laboratory for Molecular Sciences, National Biomedical Imaging Centre, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China.
Xingxing LiDepartment of Chemical Physics, University of Science and Technology of China, Hefei, People's Republic of China.ORCID http://orcid.org/0000-0001-7820-0772
Fanyang MoSchool of Materials Science and Engineering, Peking University, Beijing, People's Republic of China. fmo@pku.edu.cn.ORCID http://orcid.org/0000-0002-4140-3020
Yanwei LiEnvironment Research Institute, Shandong University, Qingdao, People's Republic of China. lyw@sdu.edu.cn.ORCID http://orcid.org/0000-0003-4089-9789
Kendall N HoukDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA. houk@chem.ucla.edu.ORCID http://orcid.org/0000-0002-8387-5261
Xuefeng GuoBeijing National Laboratory for Molecular Sciences, National Biomedical Imaging Centre, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China. guoxf@pku.edu.cn.ORCID http://orcid.org/0000-0001-5723-8528

Funding

National Natural Science Foundation of China (National Science Foundation of China) 21933001National Natural Science Foundation of China (National Science Foundation of China) 22150013National Natural Science Foundation of China (National Science Foundation of China) 22303003
6 · The paper itself

Abstract

Olefin metathesis, as a powerful metal-catalysed carbon-carbon bond-forming method, has achieved considerable progress in recent years. However, the complexity originating from multicomponent interactions has long impeded a complete mechanistic understanding of olefin metathesis, which hampers further optimization of the reaction. Here, we clarify both productive and hidden degenerate pathways of ring-closing metathesis by focusing on one individual catalyst, using a sensitive single-molecule electrical detection platform. In addition to visualizing the full pathway, we found that the conventionally unwanted degenerate pathways have an unexpected constructive coupling effect on the productive pathway, and both types of pathway can be regulated by an external electric field. We then pushed forward this ability to ring-opening metathesis polymerization involving more interactive components. With single-monomer-insertion-event resolution, precise on-device synthesis of a single polymer was achieved by online manipulation of monomer insertion dynamics, intramolecular chain transfer, stereoregularity, degree of polymerization and block copolymerization. These results offer a comprehensive mechanistic understanding of olefin metathesis, exemplifying infinite opportunities for practical precise manufacturing.

Identifiers

PMID39516385

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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.