Evidence map›Paper›PMID 42443161›Full record

ArticleMicrosystems & nanoengineering2026

Laser-induced graphene/Cu-based fully-porous flexible capacitive pressure sensor with ultra-fast response and wide measurement range.

Yimeng Jiang, Misheng Liang, Ying Xie, Ruige Su, Bo Wang, Fan Wu, Xiaomeng Bian, He Tian, Rui You

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

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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.

Yimeng JiangLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China.
Misheng LiangLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China. misheng@bistu.edu.cn.
Ying XieAVIC Chengdu Aircraft Industry Group Co Ltd, Chengdu, 610091, China.
Ruige SuLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China.
Bo WangInstitute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
Fan WuLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China.
Xiaomeng BianLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China.
He TianSchool of Integrated Circuit, Tsinghua University, Beijing, 100084, China. tianhe88@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7328-2182
Rui YouLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, China. yourui@bistu.edu.cn.

Funding

Beijing Nova Program No.20230484473National Natural Science Foundation of China (National Science Foundation of China) No.62204020National Natural Science Foundation of China (National Science Foundation of China) No.62501065
6 · The paper itself

Abstract

Recently, advances in human-machine interfaces have raised performance demands on flexible sensors. Achieving fast response, wide detection range, and high sensitivity remains a key challenge in flexible pressure sensor design. Here, we present a novel fully-porous flexible capacitive pressure sensor (FPFCPS) with a sandwich structure, comprising laser-induced Cu-composited graphene (LICuG) electrodes and a polyurethane foam dielectric layer modified with ionic liquid and coated with PVA hydrogel. The hierarchical porosity and conductivity of LICuG enable coupled mechanical interlocking and electronic polarization at the electrode-dielectric interface, improving interfacial contact, compressibility, and capacitive response. The sensor achieves a high sensitivity of 863.17 kPa⁻¹, a wide detection range (10 Pa-500 kPa), and a rapid response time of 5 ms, along with excellent flexibility and long-term stability. Notably, FPFCPS enables rapid tactile feedback and material recognition in dynamic robotic operations, offering high-resolution sensing in complex environments. This work represents the first application of LICuG in electric double-layer capacitance-pressure sensors and establishes a new structural design paradigm based on a fully porous architecture. It provides theoretical insights and practical strategies for advancing material development, mechanistic understanding, and implementation of intelligent sensing systems. In this study, femtosecond-laser-induced Cu-composited graphene (LICuG) was successfully synthesized. By incorporating this novel composite material into an electric double-layer capacitance sensing system, a fully-porous flexible capacitive pressure sensor (FPFCPS) was constructed. Through the synergistic regulation of the sensor's interlayer structural and electrical properties, its overall performance was significantly enhanced. When integrated at key robotic joints, the FPFCPS successfully detected collisions within ~5 ms and was capable of identifying the type of obstacle through tactile contact.

Identifiers

PMID42443161
PMCPMC13365487

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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.