Evidence map›Paper›PMID 39715449›Full record

ArticleACS applied materials & interfaces2025

Intrinsically Healable and Photoresponsive Electrospun Fabrics: Integrating PVDF-HFP, TPU, and Azobenzene Ionic Liquids.

Chun-Chi Chang, Lin-Ruei Lee, Sheng Zheng, Tse-Yu Lo, Chia-Wei Chang, Chia-Ti Wu, Tsung-Hung Tsai, Huan-Ru Chen, Yi-Fan Chen, Ming-Hsuan Chang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS applied materials & interfaces, 2025. 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. 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

11 authors.

Chun-Chi ChangDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Lin-Ruei LeeDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Sheng ZhengDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Tse-Yu LoDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Chia-Wei ChangDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Chia-Ti WuDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Tsung-Hung TsaiDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Huan-Ru ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Yi-Fan ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Ming-Hsuan ChangDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.
Jiun-Tai ChenDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan 300093.ORCID 0000-0002-0662-782X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the integration of multifunctional properties into electrospun fabrics has garnered significant attention for applications in wearable devices and smart textiles. A major challenge lies in achieving a balance among intermolecular interactions, structural stability, and responsiveness to external stimuli. In this study, we address this challenge by developing intrinsically healable and photoresponsive electrospun fabrics composed of poly(vinylidene fluoride-

Indexed as

azobenzeneelectrospinningintrinsic self-healingionic liquidsphotoresponsive

Identifiers

PMID39715449
PMCPMC11783359

What OpenQuestion holds

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LicenceCC BY
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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.