Evidence map›Paper›PMID 40428640›Full record

ArticleMicromachines2025

MXene-Enhanced Laser-Induced Graphene Flexible Sensor with Rapid Response for Monitoring Pilots' Body Motion.

Xia Lei, Hongyun Fan, Yilin Zhao, Mian Zhong, Zhanghui Wu, Lin Li, Shouqing Li, Xiaoqing Xing, Jianhua Liu, Yibo Sun and 2 more

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Xia LeiCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Hongyun FanCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Yilin ZhaoFaculty of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Mian ZhongCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.ORCID 0000-0001-8614-7668
Zhanghui WuCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Lin LiSchool of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0009-0007-0610-5339
Shouqing LiCivil Aviation Administration of China Academy, Civil Aviation Flight University of China, Deyang 618307, China.
Xiaoqing XingCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Jianhua LiuCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Yibo SunCollege of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China.
Yong JiangSchool of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0000-0002-4354-6826
Guogang RenSchool of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK.ORCID 0000-0001-8865-1526

Funding

Key Laboratory Construction of civil aviation flight technology and flight safety F2024KF24EResearch on Sichuan civil aviation flight technology and flight safety engineering technology GY2024-10CResearch Project of Fund Project for Basic Scientific Research Expenses of Central Universities 24CAFUC03020, 24CAFUC03022the Key Laboratory of Flight Techniques and Flight Safety CAAC(FZ2022ZZ03)
6 · The paper itself

Abstract

Flexible wearable strain sensors demonstrate promising application prospects in health monitoring, human-machine interaction, motion tracking, and the detection of human physiological signals. Although laser-induced graphene (LIG) materials have been extensively utilized in these scenarios, traditional types of LIG sensors are constrained by intrinsic limitations, including discontinuous conductive networks and electromechanical responsive hysteresis. These limitations hinder their applications in micro-strain detection scenarios. Consequently, enhancing the performance of LIG-based sensors has become a crucial priority. To address this challenge, we developed a novel MXene/LIG composite featuring optimized conductive networks and interfacial coupling effects through the systematic enhancement of LIG. The flexible strain sensor fabricated using this composite exhibits exceptional performance, including an ultra-low sheet resistance of 14.1 Ω, a high sensitivity of 20.7, a micro-strain detection limit of 0.05%, and a rapid response time of approximately 65 ms. These improvements significantly enhance electromechanical responsiveness and strain detection sensitivity. Furthermore, the sensor exhibits remarkable stability under varying tensile strains, particularly showing outstanding repeatability across 2500 cyclic tests. Notably, when applied to the pilot health monitoring scenarios, the MXene/LIG-based sensor demonstrates robust capability in detecting body movement signals such as micro-expressions and joint movements. This establishes a novel and highly effective technological solution for the real-time monitoring of pilots' motion states during operational scenarios.

Indexed as

body motionflexible wearable strain sensorMXene/LIGresponse

Identifiers

PMID40428640
PMCPMC12114579

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.