Evidence map›Paper›PMID 41501338›Full record

ArticleScientific reports2026

Research on self-healing photocurable 3D-printed conductive polycaprolactone-based composites.

Zhiwei Liu, Yanchao Liu

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

2 authors.

Zhiwei LiuSchool of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China.
Yanchao LiuShandong Xianhua New Material Technology Co, Weifang, 261200, China. 1260041998@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overexploitation of fossil resources and increasing environmental concerns have made the development of sustainable material systems an imperative. Although vat photopolymerization 3D printing allows precise shaping and minimizes material waste, it is often limited by the non-degradability and lack of functionality of conventional photosensitive resins. To overcome these constraints, this study reports a novel photopolymerization system that integrates biodegradability, self-healing, and electrical conductivity through molecular design and functional composites based on biodegradable polycaprolactone (PCL). A 4B-PCL was first synthesized via microwave-assisted polymerization and subsequently end-functionalized to yield a vinyl-modified macromer (4B-PCL-IEM). This resin exhibited outstanding performance in an optimized photopolymerization formulation, achieving a gel content exceeding 90%, a swelling rate below 5%, a 35% increase in tensile strength while maintaining over 200% elongation at break, shape memory recovery greater than 95%, and suitability for high-precision 3D printing. Furthermore, multifunctional composite resins were constructed by incorporating polyether thiourea (TUEG-IEM), magnetic particles (Fe3O4-3 TPM), and graphene. With 6 wt% graphene content, the composite achieved an electrical conductivity of 0.17 S/m, a self-healing efficiency of 81% within 4 h, along with significantly improved hydrophilicity and degradability. Finally, using optimized printing parameters, we successfully fabricated functional conductive circuits and devices, thereby providing a promising material platform for sustainable flexible electronics.

Indexed as

BiodegradablePhotosensitive resinPolycaprolactoneVat photopolymerization 3D printing

Identifiers

PMID41501338
PMCPMC12873193

What OpenQuestion holds

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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.