Evidence map›Paper›PMID 41717246›Full record

ReviewRSC advances2026

A review of self-healing mechanisms for the application of conductive electronic products.

Wei Wuen Ng, Wei-Hsin Chen, Hui San Thiam, Steven Lim, Yi-Kai Chih, Yean Ling Pang

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Wei Wuen NgLee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Sungai Long Campus Jalan Sungai Long, Bandar Sungai Long Selangor 43000 Malaysia.ORCID https://orcid.org/0000-0002-3460-6778
Wei-Hsin ChenDepartment of Aeronautics and Astronautics, National Cheng Kung University Tainan 701 Taiwan weihsinchen@gmail.com chenwh@mail.ncku.edu.tw.
Hui San ThiamLee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Sungai Long Campus Jalan Sungai Long, Bandar Sungai Long Selangor 43000 Malaysia.ORCID https://orcid.org/0000-0002-8952-4630
Steven LimLee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Sungai Long Campus Jalan Sungai Long, Bandar Sungai Long Selangor 43000 Malaysia.
Yi-Kai ChihDepartment of Chemical and Materials Engineering, National University of Kaohsiung Kaohsiung 811 Taiwan.
Yean Ling PangLee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Sungai Long Campus Jalan Sungai Long, Bandar Sungai Long Selangor 43000 Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of electronic devices has raised concerns about durability and e-waste. Self-healing materials offer a promising solution by extending device lifespan and reducing maintenance needs. This review examines the use of self-healing materials in conductive electronic systems, focusing on intrinsic and extrinsic mechanisms. Extrinsic methods use microcapsules or vascular systems to release healing agents, while intrinsic approaches rely on reversible bonds, such as hydrogen bonding, ionic interactions, and metal coordination, to enable repeatable repair. Applications discussed include strain sensors, energy storage, and flexible electronics. The review highlights how these materials improve reliability in wearable devices, energy harvesters, and wireless systems. Critical factors affecting healing performance, like healing time, environment, and material design, are also analyzed. This review serves as a useful reference for selecting suitable self-healing strategies for next-generation electronic applications.

Identifiers

PMID41717246
PMCPMC12915670

What Socratic holds

Textmetadata
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 Socratic graph.