Evidence map›Paper›PMID 41243637›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Temperature-Induced Morphological Transitions for On-Demand Detachment in Worm-Based Polymer Hydrogels.

Kaixiang Yang, Julia Y Rho, Laihui Xiao, Megan R Elliott, Calum T J Ferguson, Yezi You, Rachel K O'Reilly

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

7 authors.

Kaixiang YangSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Julia Y RhoSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Laihui XiaoSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Megan R ElliottSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Calum T J FergusonSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Yezi YouCAS Key Laboratory of Soft Matter Chemistry, Chinese Academy of Science, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Rachel K O'ReillySchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0002-1043-7172

Funding

China Scholarship Council
6 · The paper itself

Abstract

Temperature-responsive materials are vital for applications relating to on-demand detachable adhesives, as they enable rapid, damage-free detachment. However, low-temperature responsive systems often lack pronounced phase change, which can lead to undesirable mechanical interlocking with complicated substrate interfaces. Polymerisation-induced self-assembly (PISA) has been effectively employed to fabricate worm-like hydrogels exhibiting temperature-induced phase transitions; however, its application in on-demand detachment remains underexplored. Building on this, we leverage precise morphological tuning across a broad temperature range (1 to 70 °C) to modulate the hydrogel phase. Our hydrogel exhibits a reversible transition from a robust adhesive state at room temperature to a non-adhesive liquid phase upon both cooling and heating. This approach overcomes the limitations associated with low- and high-temperature responsive detachment on complex surfaces, thereby broadening its utility.

Indexed as

Morphology transitionOn‐demand detachmentPISARAFT polymerisationTemperature responsive adhesive

Identifiers

PMID41243637
PMCPMC12759209

What OpenQuestion holds

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LicenceCC BY
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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.