Evidence map›Paper›PMID 41111457›Full record

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

Ultra-Sensitive and Linear Flexible Pressure Sensors with Tri-Scale Graded Microstructures for Advanced Health Monitoring and Robotic Perception.

Rui Chen, Chi Fai Cheung, Qixian Zhang, Tao Luo, Rui Gao, Wei Zhou, Chunjin Wang

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Rui ChenState Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, Kowloon, China, 999077.
Chi Fai CheungState Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, Kowloon, China, 999077.ORCID https://orcid.org/0000-0002-3185-8208
Qixian ZhangState Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, Kowloon, China, 999077.
Tao LuoPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
Rui GaoState Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, Kowloon, China, 999077.
Wei ZhouPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.ORCID https://orcid.org/0000-0002-9820-556X
Chunjin WangState Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, Kowloon, China, 999077.ORCID https://orcid.org/0000-0001-5820-5939

Funding

Hong Kong Polytechnic University 1-W383Hong Kong Polytechnic University 4-ZZSA1-BECENational Natural Science Foundation of China 52325507National Natural Science Foundation of China U21A20136
6 · The paper itself

Abstract

Flexible piezoresistive sensors, which combine high sensitivity and a wide linear detection range, are ideal choices for human health monitoring and robotic perception. However, sensors often exhibit a trade-off between sensitivity and linearity, with challenges caused by the incompressibility of soft materials and the stiffening of microstructures. In this study, a flexible pressure sensor with a 3D ordered tri-scale graded microstructure, fabricated by laser processing, is proposed. The sensor achieves an ultra-high sensitivity of 138.6 kPa

Indexed as

RoboticsWearable Electronic DevicesEquipment DesignHumansMonitoring, PhysiologicPressureflexible piezoresistive sensorgraded microstructureshigh sensitivityhuman‐machine interactionlaser processing

Identifiers

PMID41111457
PMCPMC12767126

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.