Evidence map›Paper›PMID 42737064›Full record

ArticlePolymers2026

Preparation and Properties of Dynamic Covalent-Based Epoxidized Soybean Oil-Derived UV-Curable Resin.

Wei Wang, Wen Lei, Han Luo, Wangwang Yu, Yong Chen

Abstract read
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Wei WangCollege of Science, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-8254-3409
Wen LeiCollege of Science, Nanjing Forestry University, Nanjing 210037, China.
Han LuoCollege of Science, Nanjing Forestry University, Nanjing 210037, China.
Wangwang YuSchool of Mechanical Engineering, Nanjing University of Industry Technology, Nanjing 210023, China.ORCID 0000-0003-2905-8161
Yong ChenCollege of Science, Nanjing Forestry University, Nanjing 210037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop ultraviolet (UV)-curable resin with excellent mechanical, thermal-resistant and self-healing properties, epoxidized soybean oil was utilized as a bio-based raw material in this paper, and its epoxy groups were ring-opened and modified with methanol and tert-butyl acetoacetate to introduce hydroxyl groups and flexible segments, yielding a functionalized polyol, which was reacted with isophorone diisocyanate to prepare a hydroxyl-terminated polyurethane prepolymer containing dynamic covalent bonds. The prepolymer was further end-capped with hydroxyethyl acrylate to obtain a UV-curable polyurethane acrylate resin. The physico-mechanical properties and self-healing efficiency of the samples were systematically investigated. The results showed that the prepared specimens had efficient self-healing capability and could achieve efficient repair of damaged interfaces through appropriate heat treatment without the need for external catalysts; the onset decomposition temperatures of all the samples were greater than 225 °C, demonstrating good thermal stability; the tensile strength, tensile modulus, flexural strength and flexural modulus could be as great as 31.1 MPa, 393.7 MPa, 29.6 MPa and 851.6 MPa, respectively. All these indicated that the prepared samples had good overall performances. This study provides a new strategy for the design and preparation of self-healing photocurable resins based on renewable resources.

Indexed as

dynamic covalent bondepoxidized soybean oilself-healingUV curable resin

Identifiers

PMID42737064
PMCPMC13568437

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.