Evidence map›Paper›PMID 39632405›Full record

ArticleMacromolecular rapid communications2025

Multicolor Mechanochromic Polymer Blends That Can Distinguish between Tensile-Stress States.

Kuniaki Ishizuki, Akira Takahashi, Hideyuki Otsuka

Abstract read
In one paragraph

Article in Macromolecular rapid communications, 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. Review
  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

3 authors.

Kuniaki IshizukiDepartment of Chemical Science and Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Akira TakahashiDepartment of Chemical Science and Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.ORCID https://orcid.org/0000-0002-0139-8124
Hideyuki OtsukaDepartment of Chemical Science and Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.ORCID https://orcid.org/0000-0002-1512-671X

Funding

Core Research for Evolutional Science and Technology JPMJCR1991
6 · The paper itself

Abstract

Mechanochromic polymers can be used to visualize mechanical stimuli applied to materials. However, many of these polymers exhibit single-color mechanochromism, i.e., the polymer changes from its original color to another, thus potentially limiting the range of applications. Here, a versatile and readily accessible strategy for creating multicolor mechanochromic polymer blends that can detect whether a material is currently under stress or has already experienced stress is presented. The polymer blends are prepared by blending a segmented polyurethane and a polycaprolactone, each embedded with a radical-type mechanochromophore. These polymers appear either blue, pink, or green by stretching depending on the mechanochromophore employed. The introduction of different mechanochromophores into each of the segmented polyurethane and polycaprolactone polymers with different chain mobilities and the subsequent blending of these polymers affords a mechanochromic polymer blend that can be used to visually distinguish via a color change whether it is experiencing stress or has recently experienced stress. The colors observed under stress and after stress can be tuned as easily as mixing paint based on the combination of the mechanochromophores ("rainbow mechanochromism"). The strategy developed in this study can be expected to significantly advance the research of mechanochromic polymer materials.

Indexed as

PolyestersPolymersPolyurethanesStress, MechanicalColorTensile StrengthpolycaprolactonePolyestersPolymersPolyurethanesmechanochemistrymechanochromismpolymer blendspolymer reactionsradicals

Identifiers

PMID39632405
PMCPMC11925322

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.