Evidence map›Paper›PMID 41612638›Full record

ArticleACS applied materials & interfaces2026

Shape-Memory-Assisted Self-Healing and Real-Time Acidic Environment Detection in Multifunctional Electrospun Fibers.

Huan-Ru Chen, Yi-Fan Chen, Tse-Yu Lo, Chien-Lin Chen, Kai-Jie Chang, Kuan-Hsun Tseng, Jhih-Hao Ho, Jiun-Tai Chen

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 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.

Huan-Ru ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Yi-Fan ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.ORCID 0009-0001-0976-0802
Tse-Yu LoDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Chien-Lin ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Kai-Jie ChangDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Kuan-Hsun TsengDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Jhih-Hao HoDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.
Jiun-Tai ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.ORCID 0000-0002-0662-782X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart fiber systems that integrate self-healing and environmental responsiveness are emerging as promising candidates for wearable electronics, protective clothing, and adaptive textiles. Here, we report a multifunctional electrospun fiber platform combining shape-memory-assisted self-healing with acid-triggered chromism. The fibers are fabricated from thermoplastic polyurethane (TPU)/poly(ε-caprolactone) (PCL) blends doped with the acid-sensitive dye ODB-2. Distinct thermal transitions of TPU and PCL enable programmable deformation and recovery, whereby fractured fibers self-heal through thermally activated interfacial diffusion. Meanwhile, ODB-2 undergoes a reversible structural change upon protonation, producing a visible color contrast that functions as an acid-responsive optical signal. Systematic characterization of chemical structure, morphology, and functional performance reveals a clear compositional dependence. TPU-rich blends yield uniform fiber morphologies, stable chromic reversibility over multiple acid-base cycles, and self-healing efficiencies up to 95%. In contrast, PCL-rich compositions exhibit larger fiber diameters, reduced chromic response, and incomplete mechanical recovery. These results demonstrate how polymer composition governs both structural features and functional outcomes. By integrating shape-memory, self-healing, and chromic responsiveness into a single platform, this work establishes a versatile design strategy for smart polymer fibers capable of damage repair and real-time environmental monitoring. The approach offers broad opportunities for developing next-generation wearable electronics, intelligent textiles, and adaptive membranes for use in corrosive or dynamically fluctuating environments.

Indexed as

acidochromic materialselectrospinningself-healing fibersshape-memory polymerssmart textiles

Identifiers

PMID41612638
PMCPMC12903105

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Registered trials

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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.