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用于生理信号无线监测的自极化压电纳米复合纤维传感器。

Self-Poled Piezoelectric Nanocomposite Fiber Sensors for Wireless Monitoring of Physiological Signals.

作者信息

Hasan Md Mehdi, Rahman Mahmudur, Sadeque Md Sazid Bin, Ordu Mustafa

机构信息

UNAM─Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Türkiye.

Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.

出版信息

ACS Appl Mater Interfaces. 2024 Jul 10;16(27):34549-34560. doi: 10.1021/acsami.4c04908. Epub 2024 Jun 28.

DOI:10.1021/acsami.4c04908
PMID:38940307
Abstract

Self-powered sensors have the potential to enable real-time health monitoring without contributing to the ever-growing demand for energy. Piezoelectric nanogenerators (PENGs) respond to mechanical deformations to produce electrical signals, imparting a sensing capability without external power sources. Textiles conform to the human body and serve as an interactive biomechanical energy harvesting and sensing medium without compromising comfort. However, the textile-based PENG fabrication process is complex and lacks scalability, making these devices impractical for mass production. Here, we demonstrate the fabrication of a long-length PENG fiber compatible with industrial-scale manufacturing. The thermal drawing process enables the one-step fabrication of self-poled MoS-poly(vinylidene fluoride) (PVDF) nanocomposite fiber devices integrated with electrodes. Heat and stress during thermal drawing and MoS nanoparticle addition facilitate interfacial polarization and dielectric modulation to enhance the output performance. The fibers show a 57 and 70% increase in the output voltage and current compared to the pristine PVDF fiber, respectively, at a considerably low MoS loading of 3 wt %. The low Young's modulus of the outer cladding ensures an effective stress transfer to the piezocomposite domain and allows minute motion detection. The flexible fibers demonstrate wireless, self-powered physiological sensing and biomotion analysis capability. The study aims to guide the large-scale production of highly sensitive integrated fibers to enable textile-based and plug-and-play wearable sensors.

摘要

自供电传感器有潜力实现实时健康监测,而不会增加对能源不断增长的需求。压电纳米发电机(PENGs)对机械变形做出响应以产生电信号,无需外部电源即可具备传感能力。纺织品贴合人体,可作为交互式生物机械能收集和传感介质,且不影响舒适度。然而,基于纺织品的PENG制造工艺复杂且缺乏可扩展性,使得这些设备无法用于大规模生产。在此,我们展示了一种与工业规模制造兼容的长长度PENG纤维的制造方法。热拉伸工艺能够一步制造出集成电极的自极化MoS-聚偏二氟乙烯(PVDF)纳米复合纤维器件。热拉伸过程中的热和应力以及MoS纳米颗粒的添加有助于界面极化和介电调制,从而提高输出性能。在仅3 wt%的低MoS负载量下,与原始PVDF纤维相比,这些纤维的输出电压和电流分别增加了57%和70%。外包层的低杨氏模量确保了有效应力传递到压电复合材料区域,并允许进行微小运动检测。这些柔性纤维展示了无线、自供电的生理传感和生物运动分析能力。该研究旨在指导大规模生产高灵敏度集成纤维,以实现基于纺织品的即插即用可穿戴传感器。

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