Gradient CNT/PMN-PT/PVDF piezoelectric composites for gait monitoring during weight-bearing walking
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<sup>-1</sup>). 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.
Authors
- Yong Ao
- Boling Lan
- Weili Deng (ORCID: https://orcid.org/0000-0003-1427-534X)
- Weiqing Yang (ORCID: https://orcid.org/0000-0001-8828-9862)
- Long Jin (ORCID: https://orcid.org/0000-0003-0798-9336)
- Tingting Zhou (ORCID: https://orcid.org/0000-0003-0583-8956)
- Yue Sun (ORCID: https://orcid.org/0000-0002-7954-8479)
- Zihan Wang (ORCID: https://orcid.org/0000-0003-4018-1603)
- Zhaoyu Li (ORCID: https://orcid.org/0000-0001-5194-3971)
- Yiheng Liu (ORCID: https://orcid.org/0009-0007-7077-3796)
- Shenglong Wang (ORCID: https://orcid.org/0000-0001-7048-3405)
- Wanghong Zeng
- Shuai Wang (ORCID: https://orcid.org/0000-0002-5653-7195)
Institutions
- China Railway Construction Corporation (China) (CN)
- Beijing Railway Institute of Mechanical & Electrical Engineering Group (China) (CN)
- China Railway Group (China) (CN)
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- Nanoscale
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5nr02020d
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Natural Science Foundation of China