journal article·2025

Gradient CNT/PMN-PT/PVDF piezoelectric composites for gait monitoring during weight-bearing walking

Weili Deng, Tingting Zhou, Wanghong Zeng, Zihan Wang, Yiheng Liu, Boling Lan, Shenglong Wang, Yong Ao, Yue Sun, Shuai Wang, Zhaoyu Li, Long Jin, Weiqing Yang

Nanoscale· Volume 17· Issue 30
Publisher page

Abstract

Wearable piezoelectric sensors have gained significant attention for real-time biomechanical monitoring applications, yet existing designs often suffer from limited sensitivity, durability, and dynamic response. To address these challenges, we develope a wearable sensor utilizing gradient-architected CNT/PMN-PT/PVDF piezoelectric composites for continuous gait monitoring during weight-bearing walking. The sensor features a dual-filler gradient configuration within a poly(vinylidene fluoride) (PVDF) matrix, in which strategically distributed carbon nanotubes (CNTs) and lead magnesium niobate-lead titanate (PMN-PT) ceramic particles synergistically enhance electromechanical coupling efficiency. The CNT-enriched surface layer boosts polarization by enhancing charge injection efficiency, while the gradient-arranged PMN-PT fillers induce stress concentration, further amplifying the sensor's piezoelectric output. As a result, the sensor exhibits exceptional performance, with a decent piezoelectric coefficient and high sensitivity (172 mV N-1). Both experimental tests and finite element simulations validate the superior performance of this gradient structure, making it highly effective for real-time kinematic monitoring during weight-bearing walking. This composite-based sensor represents a promising advancement in wearable health technology, with immediate applications in clinical gait analysis, rehabilitation monitoring and sports injury prevention.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China

School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 610031, P. R. China

China Railway Engineering Group Limited, Beijing, 100039, P. R. China

Research Institute of Frontier Science, Southwest Jiaotong University, Chengdu, Sichuan 610031, P. R. China

Funding

National Natural Science Foundation of China

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