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

IF 5.1 3区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Nanoscale Pub Date : 2025-07-01 DOI:10.1039/D5NR02020D
Weili Deng, Tingting Zhou, Wanghong Zeng, Zihan Wang, Yiheng Liu, Boling Lan, Shenglong Wang, Yong Ao, Yue Sun, Shuai Wang, Zhaoyu Li, Long Jin and Weiqing Yang
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引用次数: 0

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.

Abstract Image

梯度CNT/PMN-PT/PVDF压电复合材料在负重行走中的步态监测
可穿戴式压电传感器在实时生物力学监测方面受到了极大的关注,但现有的设计往往在灵敏度、耐久性和动态响应方面存在局限性。为了解决这些挑战,我们开发了一种可穿戴传感器,利用梯度结构的CNT/PMN-PT/PVDF压电复合材料,用于负重行走期间的连续步态监测。该传感器在聚偏氟乙烯(PVDF)基体内采用双填料梯度结构,其中战略性分布的碳纳米管(CNTs)和铌镁铅-钛酸铅(PMN-PT)陶瓷颗粒协同提高了机电耦合效率。富碳纳米管的表面层通过促进电荷注入效率来增强极化,而梯度排列的PMN-PT填料诱导应力集中,进一步放大压电输出。因此,该传感器表现出优异的性能,具有良好的压电系数(d33* = 40 pm/V)和高灵敏度(172 mV/N)。实验测试和有限元模拟均验证了该梯度结构的优越性能,使其在负重行走过程中能够非常有效地进行实时运动学监测。这种基于复合材料的传感器代表了可穿戴健康技术的一个有前途的进步,在临床步态分析、康复监测和运动损伤预防方面具有直接的应用。
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来源期刊
Nanoscale
Nanoscale CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
12.10
自引率
3.00%
发文量
1628
审稿时长
1.6 months
期刊介绍: Nanoscale is a high-impact international journal, publishing high-quality research across nanoscience and nanotechnology. Nanoscale publishes a full mix of research articles on experimental and theoretical work, including reviews, communications, and full papers.Highly interdisciplinary, this journal appeals to scientists, researchers and professionals interested in nanoscience and nanotechnology, quantum materials and quantum technology, including the areas of physics, chemistry, biology, medicine, materials, energy/environment, information technology, detection science, healthcare and drug discovery, and electronics.
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