Evidence map›Paper›PMID 42653539›Full record

ArticleMicromachines2026

A Multifunctional Flexible Sensor Based on a Hybrid Microstructured Functional Layer.

Jianxiang Wang, Hongbin Chen, Yu Zhang, Jingmei Li, Zhengyun Zhong, Yue Li, Yanzhang Yang, Man Zhang, Meng Zhang, Wu Zhang and 1 more

Abstract read
In one paragraph

Article in Micromachines, 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

11 authors.

Jianxiang WangSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Hongbin ChenSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Yu ZhangSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Jingmei LiSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Zhengyun ZhongSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Yue LiDepartment of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Yanzhang YangGuanghua Institute of Sci-Tech (Guangdong) Co., Ltd., Guangzhou 510006, China.
Man ZhangSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Meng ZhangSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Wu ZhangSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Lip Ket ChinDepartment of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.ORCID 0000-0001-9020-7782

Funding

Department of Science and Technology of Guangdong Province 2026A1515011960Guangzhou University 2024312446Hong Kong Polytechnic University BEDHUniversity Grants Committee 11200325
6 · The paper itself

Abstract

Flexible capacitive sensors for electronic skins and soft robotic systems are expected to provide not only high-pressure sensitivity but also multifunctional sensing capabilities. However, conventional dielectric layer designs often suffer from a trade-off among multiple functionalities. To address this challenge, we developed a flexible sensor featuring a hybrid microstructured functional layer for pressure sensing, distance monitoring, and material identification. The functional layer was a polydimethylsiloxane (PDMS) film embedded with micro-sized sugar particles and patterned with microstructures on its surface. The pressure-sensing performance, such as pressing sensitivity, response time, and hysteresis, was first evaluated. The pressure sensitivity reached 3.55 × 10

Indexed as

flexible sensorshybrid microstructurepressure sensor

Identifiers

PMID42653539
PMCPMC13515145

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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.