Evidence map›Paper›PMID 40995821›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Advancing Soft Mechanosensors by Colloidal Design.

Kejin Yu, Lan Shi, Wanqing Xu, Bo Peng, Limin Wu

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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.

Kejin YuCollege of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment and Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, 200433, P. R. China.
Lan ShiCollege of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment and Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, 200433, P. R. China.
Wanqing XuCollege of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment and Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, 200433, P. R. China.
Bo PengCollege of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment and Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, 200433, P. R. China.
Limin WuCollege of Smart Materials and Future Energy, State Key Laboratory of Coatings for Advanced Equipment and Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai, 200433, P. R. China.ORCID https://orcid.org/0000-0001-8495-8627

Funding

National Key Research and Development Program of China 2022YFA1205200National Natural Science Foundation of China 52033003 52403086
6 · The paper itself

Abstract

Colloidal systems hold transformative potential for engineering soft mechanosensors, which are crucial for wearable electronics, healthcare monitoring, and human-machine interfaces. With their unique physicochemical properties, tunable interparticle interactions, and abundant assembly strategies, these systems unlock unprecedented control over mechanical and sensing behaviors that meet the demand for high sensitivity, broad dynamic range, and rapid response. This perspective delves into the foundational principles of colloidal design in soft mechanosensor, highlighting surface engineering, colloidal assembly, and structural hierarchy as key strategies for optimizing sensor performance. Cutting-edge applications across healthcare monitoring and adaptive interfaces are discussed, underscoring the versatility and impact of colloidal approaches. Looking forward, a future is envisioned where advancements in colloidal morphology and precise assembly techniques will drive the next generation of high-performance mechanosensors. By offering a cohesive framework for integrating colloidal science into sensor technology, this work serves as a guide for fostering innovation in this rapidly evolving field.

Indexed as

colloidal designmicro/nanostructuresensing applicationsoft mechanosensors

Identifiers

PMID40995821
PMCPMC13549290

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.