Evidence map›Paper›PMID 39852088›Full record

ReviewBiosensors2025

Recent Progress in Self-Healing Triboelectric Nanogenerators for Artificial Skins.

Guoliang Li, Zongxia Li, Haojie Hu, Baojin Chen, Yuan Wang, Yanchao Mao, Haidong Li, Baosen Zhang

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Guoliang LiHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.
Zongxia LiHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.
Haojie HuHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.
Baojin ChenKey Laboratory of Materials Physics of Ministry of Education, School of Physics, Zhengzhou University, Zhengzhou 450001, China.
Yuan WangHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.
Yanchao MaoKey Laboratory of Materials Physics of Ministry of Education, School of Physics, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-3436-633X
Haidong LiHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.
Baosen ZhangHenan Energy Conversion and Storage Materials Engineering Center, College of Science, Henan University of Engineering, Zhengzhou 451191, China.

Funding

Henan Province Science and Technology Research and Development Program Joint Fund Advantageous Discipline Cultivation Project No. 232301420033National-Level Projects of the 2024 Henan Students' Innovation and Entrepreneurship Training Program No. 202411517013, No. 202411517014the Programs for Tackling Key Problems in Science and Technology of Henan Province No. 242102110344
6 · The paper itself

Abstract

Self-healing triboelectric nanogenerators (TENGs), which incorporate self-healing materials capable of recovering their structural and functional properties after damage, are transforming the field of artificial skin by effectively addressing challenges associated with mechanical damage and functional degradation. This review explores the latest advancements in self-healing TENGs, emphasizing material innovations, structural designs, and practical applications. Key materials include dynamic covalent polymers, supramolecular elastomers, and ion-conductive hydrogels, which provide rapid damage recovery, superior mechanical strength, and stable electrical performance. Innovative structural configurations, such as layered and encapsulated designs, optimize triboelectric efficiency and enhance environmental adaptability. Applications span healthcare, human-machine interfaces, and wearable electronics, demonstrating the immense potential for tactile sensing and energy harvesting. Despite significant progress, challenges remain in scalability, long-term durability, and multifunctional integration. Future research should focus on advanced material development, scalable fabrication, and intelligent system integration to unlock the full potential of self-healing TENGs. This review provides a comprehensive overview of current achievements and future directions, underscoring the pivotal role of self-healing TENGs in artificial skin technology.

Indexed as

Biosensing TechniquesElectric Power SuppliesNanotechnologySkin, ArtificialHumansHydrogelsPolymersWearable Electronic DevicesHydrogelsPolymersartificial skinhuman–machine interfaceself-healingtactile sensingtriboelectric nanogenerator

Identifiers

PMID39852088
PMCPMC11764172

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.