Evidence map›Paper›PMID 38849347›Full record

ArticleNature communications2024

Covalently bridging graphene edges for improving mechanical and electrical properties of fibers.

Ling Ding, Tianqi Xu, Jiawen Zhang, Jinpeng Ji, Zhaotao Song, Yanan Zhang, Yijun Xu, Tong Liu, Yang Liu, Zihan Zhang and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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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

18 authors.

Ling Ding *College of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Tianqi Xu *College of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Jiawen Zhang *College of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Jinpeng Ji *College of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Zhaotao Song *College of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Yanan ZhangCollege of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Yijun XuSuzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Tong LiuSuzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.ORCID http://orcid.org/0000-0001-7175-8896
Yang LiuSuzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Zihan ZhangNational Institute for Materials Science, Tsukuba, Ibaraki, 305-0044, Japan.
Wenbin GongSchool of Physics and Energy, Xuzhou University of Technology, Xuzhou, China.
Yunong WangCollege of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.
Zhenzhong ShiCollege of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China.ORCID http://orcid.org/0000-0001-8033-8041
Renzhi MaNational Institute for Materials Science, Tsukuba, Ibaraki, 305-0044, Japan.
Jianxin GengBeijing University of Chemical Technology, 100029, Beijing, China.
Huynh Thien NgoNational Institute for Materials Science, Tsukuba, Ibaraki, 305-0044, Japan.
Fengxia GengCollege of Energy; School of Physical Science and Technology & Institute for Advanced Study, Soochow University, Suzhou, 215006, China. gengfx@suda.edu.cn.ORCID http://orcid.org/0000-0001-5557-4165
Zhongfan LiuBeijing Graphene Institute, 100095, Beijing, China.ORCID http://orcid.org/0000-0001-5554-1902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assembling graphene sheets into macroscopic fibers with graphitic layers uniaxially aligned along the fiber axis is of both fundamental and technological importance. However, the optimal performance of graphene-based fibers has been far lower than what is expected based on the properties of individual graphene. Here we show that both mechanical properties and electrical conductivity of graphene-based fibers can be significantly improved if bridges are created between graphene edges through covalent conjugating aromatic amide bonds. The improved electrical conductivity is likely due to extended electron conjugation over the aromatic amide bridged graphene sheets. The larger sheets also result in improved π-π stacking, which, along with the robust aromatic amide linkage, provides high mechanical strength. In our experiments, graphene edges were bridged using the established wet-spinning technique in the presence of an aromatic amine linker, which selectively reacts to carboxyl groups at the graphene edge sites. This technique is already industrial and can be easily upscaled. Our methodology thus paves the way to the fabrication of high-performance macroscopic graphene fibers under optimal techno-economic and ecological conditions.

Identifiers

PMID38849347
PMCPMC11161649

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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.