Evidence map›Paper›PMID 38682447›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Self-Healable Multifunctional Fibers via Thermal Drawing.

Miao Qi, Yanting Liu, Zhe Wang, Shixing Yuan, Kaiwei Li, Qichong Zhang, Mengxiao Chen, Lei Wei

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Self-Healable Multifunctional Fibers via Thermal Drawing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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.

Miao QiCollege of Biomedical Engineering & Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China.
Yanting LiuSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Zhe WangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun, 130022, China.
Shixing YuanSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Kaiwei LiKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun, 130022, China.
Qichong ZhangSuzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Mengxiao ChenCollege of Biomedical Engineering & Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China.
Lei WeiSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.ORCID https://orcid.org/0000-0003-0819-8325

Funding

A*STAR under AME IRG A2083c0062A*STAR under IAF-ICP Programme I2001E0067National Natural Science Foundation of China 52173240National Natural Science Foundation of China 52202191NTU-PSL Joint Lab collaborationResearch Initiation Project of Zhejiang Lab funding 2022MG0PI01Singapore Ministry of Education Academic Research Fund Tier 1 RG62/22Singapore Ministry of Education Academic Research Fund Tier 2 MOE2019-T2-2-127Singapore Ministry of Education Academic Research Fund Tier 2 MOE-T2EP50120-0002Singapore Ministry of Education Academic Research Fund Tier 2 MOE-T2EP50123-0014Singapore Ministry of Education under the Research Centres of Excellence scheme
6 · The paper itself

Abstract

The development of soft electronics and soft fiber devices has significantly advanced flexible and wearable technology. However, they still face the risk of damage when exposed to sharp objects in real-life applications. Taking inspiration from nature, self-healable materials that can restore their physical properties after external damage offer a solution to this problem. Nevertheless, large-scale production of self-healable fibers is currently constrained. To address this limitation, this study leverages the thermal drawing technique to create elastic and stretchable self-healable thermoplastic polyurethane (STPU) fibers, enabling cost-effective mass production of such functional fibers. Furthermore, despite substantial research into the mechanisms of self-healable materials, quantifying their healing speed and time poses a persistent challenge. Thus, transmission spectra are employed as a monitoring tool to observe the real-time self-healing process, facilitating an in-depth investigation into the healing kinetics and efficiency. The versatility of the fabricated self-healable fiber extends to its ability to be doped with a wide range of functional materials, including dye molecules and magnetic microparticles, which enables modular assembly to develop distributed strain sensors and soft actuators. These achievements highlight the potential applications of self-healable fibers that seamlessly integrate with daily lives and open up new possibilities in various industries.

Indexed as

characterization of self‐healable materialsself‐healable fiberssoft actuatorsstrain sensorsthermal drawing technique

Identifiers

PMID38682447
PMCPMC11200011

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.