Evidence map›Paper›PMID 41946737›Full record

ArticleNature communications2026

Unveiling the synergistic mechanism of C-F and C-Cl bonds in enhancing the triboelectric performance of fluorinated polymers.

Jinmei Liu, Fanyu Zhang, Jiongyao Xu, Shengyang Jia, Nuanyang Cui, Rusen Yang, Weiwei Wang, Long Gu

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

8 authors.

Jinmei LiuSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China.
Fanyu ZhangSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China.
Jiongyao XuSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China.
Shengyang JiaSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China.
Nuanyang CuiSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China.
Rusen YangSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China. rsyang@xidian.edu.cn.ORCID http://orcid.org/0000-0002-4019-4642
Weiwei WangSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China. wangweiwei@xidian.edu.cn.ORCID http://orcid.org/0000-0003-2066-5096
Long GuSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, P. R. China. lgu@xidian.edu.cn.ORCID http://orcid.org/0000-0001-7879-6086

Funding

China Postdoctoral Science Foundation 2023M742747National Natural Science Foundation of China (National Science Foundation of China) 82572444
6 · The paper itself

Abstract

Achieving superior tribo-negative performance beyond traditional fluorinated polymers (TFPs) is crucial for advancing triboelectric devices. In this work, we identified an approach to enhance the tribo-negative properties of TFPs via synergistic effects of C-F and C-Cl bonds, based on the significant tribo-differences observed in polyvinylidene fluoride (PVDF) based copolymers. Our findings indicate that the -CTFE unit, particularly its C-Cl bond, significantly lowers the LUMO of the copolymer system, resulting in PVDF-CTFE (PC) exhibiting the strongest tribo-negative properties. By controlling the surface Cl/F ratio via chlorine plasma treatment, it was demonstrated that a higher C-Cl content enhances electron acquisition, whereas a higher C-F content improves charge retention. The synergistic effect optimally balances triboelectric charge capture and losses, enabling PC-Cl to achieve the highest triboelectric charge density (310 µC cm

Identifiers

PMID41946737
PMCPMC13103304

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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.