Evidence map›Paper›PMID 39019867›Full record

ArticleNature communications2024

Visualization and standardized quantification of surface charge density for triboelectric materials.

Yi Li, Yi Luo, Song Xiao, Cheng Zhang, Cheng Pan, Fuping Zeng, Zhaolun Cui, Bangdou Huang, Ju Tang, Tao Shao and 3 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Anisotropic Charge Diffusion in Polar-Layered Oxides for Ultralong Charge Retention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Review
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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

13 authors.

Yi Li *State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, People's Republic of China.ORCID http://orcid.org/0000-0003-2236-895X
Yi Luo *Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, People's Republic of China.ORCID http://orcid.org/0000-0001-6147-7345
Song Xiao *State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, People's Republic of China.
Cheng ZhangBeijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, People's Republic of China.ORCID http://orcid.org/0000-0003-1512-2820
Cheng PanState Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, People's Republic of China.
Fuping ZengState Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, People's Republic of China.
Zhaolun CuiSchool of Electric Power Engineering, South China University of Technology, Guangzhou, People's Republic of China.
Bangdou HuangBeijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, People's Republic of China.
Ju TangState Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, People's Republic of China.
Tao ShaoBeijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, People's Republic of China. st@mail.iee.ac.cn.ORCID http://orcid.org/0000-0002-5738-1241
Xiaoxing ZhangKey Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, People's Republic of China. zhangxx@hbut.edu.cn.ORCID http://orcid.org/0000-0001-5872-2039
Jiaqing XiongInnovation Center for Textile Science and Technology, Donghua University, Shanghai, People's Republic of China. jqxiong@dhu.edu.cn.ORCID http://orcid.org/0000-0002-7470-5674
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, People's Republic of China. wangzhonglin@binn.cas.cn.ORCID http://orcid.org/0000-0002-5530-0380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triboelectric nanogenerator (TENG) operates on the principle of utilizing contact electrification and electrostatic induction. However, visualization and standardized quantification of surface charges for triboelectric materials remain challenging. Here, we report a surface charge visualization and standardized quantification method using electrostatic surface potential measured by Kevin probe and the iterative regularization strategy. Moreover, a tuning strategy on surface charge is demonstrated based on the corona discharge with a three-electrode design. The long-term stability and dissipation mechanisms of the injected negative or positive charges demonstrate high dependence on deep carrier traps in triboelectric materials. Typically, we achieved a 70-fold enhancement on the output voltage (~135.7 V) for the identical polytetrafluoroethylene (PTFE) based TENG (neg-PTFE/PTFE or posi-PTFE/PTFE triboelectric pair) with stable surface charge density (5% decay after 140 days). The charged PTFE was demonstrated as a robot e-skins for non-contact perception of object geometrics. This work provides valuable tools for surface charge visualization and quantification, giving a new strategy for a deeper understanding of contact electrification.

Identifiers

PMID39019867
PMCPMC11255240

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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.