Evidence map›Paper›PMID 42711891›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Mechanophore-Based Multichannel Colorimetric Force Sensors: Ultrasound-Driven Stress and Strain Quantification.

Seungo Baek, Jeong Hoon Rhee, Skylar K Osler, Minsoo P Kim, Shyuan Cheng, Leonardo P Chamorro, Hyunhyub Ko, Maxwell J Robb, Gun Kim

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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
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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

9 authors.

Seungo Baek *School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0009-0001-1778-7079
Jeong Hoon Rhee *Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0003-4532-6269
Skylar K Osler *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA.ORCID https://orcid.org/0000-0003-1021-7011
Minsoo P Kim *Department of Chemical Engineering, Sunchon National University, Suncheon, Republic of Korea.ORCID https://orcid.org/0000-0003-0285-3253
Shyuan ChengDepartment of Mechanical Engineering, University of South Carolina, Columbia, South Carolina, USA.ORCID https://orcid.org/0000-0001-8563-9054
Leonardo P ChamorroDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0002-5199-424X
Hyunhyub KoSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0003-2111-6101
Maxwell J RobbDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA.ORCID https://orcid.org/0000-0002-0528-9857
Gun KimSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-2983-5808

Funding

Ministry of Education - Singapore Tier 1Seed grant (RS33/24)Nanyang Technological UniversityStart-up Grant
6 · The paper itself

Abstract

Mechanophores with mechanochromic properties have attracted significant attention as force-responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has not yet been established in bulk polymer systems. Here, we present a mechanophore-based polymer sensing platform capable of selectively quantifying localized stress or strain through multichannel mechanochromic responses. Two mechanophores with distinct activation thresholds were crosslinked within a single polydimethylsiloxane (PDMS) matrix, enabling differentiated force-dependent color changes and threshold-resolved mechanochromic responses under spatiotemporally resolved focused ultrasound (FUS) stimulation. RGB-based image analysis combined with deep-learning-assisted segmentation enabled quantitative stress estimation, while embedded tracer microbeads and particle tracking velocimetry (PTV) enabled strain quantification within the activated regions. This integrated framework establishes a quantitative mechanochromic sensing strategy capable of extracting both stress and strain from optical signals in a spatially resolved and reversible manner, demonstrating the potential of mechanophore-based polymers as quantitative, electronics-free sensing platforms for next-generation structural health monitoring applications.

Indexed as

focused ultrasoundforce visualizationmechanochromismmechanophoresstress‐strain quantificationstructural sensor

Identifiers

PMID42711891
PMCPMC13554377

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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.