Scalable manufacture of efficient, highly stable, and compact 3D imitation skin-based elastic triboelectric nanogenerator for energy harvesting and self-powered sensing

被引:9
|
作者
Mi, Qingling [1 ]
Dong, Yanjuan [1 ]
Ge, Dan [1 ]
Xie, Shiying [1 ]
Tian, Yonghao [1 ]
Zou, Fengyuan [1 ]
Yu, Hou-Yong [1 ,2 ,3 ]
Tam, Kam Chiu [3 ]
机构
[1] Zhejiang Sci Tech Univ, Key Lab Intelligent Text & Flexible Interconnect Z, Xiasha Higher Educ Pk Ave 2 928, Hangzhou 310018, Peoples R China
[2] Donghua Univ, State Key Lab Modificat Chem Fibers & Polymer Mat, Shanghai 201620, Peoples R China
[3] Univ Waterloo, Waterloo Inst Nanotechnol, Dept Chem Engn, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
关键词
Silk fibroin; Yarn-based elastic layer; Self-powered device; Healthcare; PERFORMANCE;
D O I
10.1016/j.nanoen.2024.110283
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Integration of nanogenerator (NG) with textile technology will promote the widespread application of next-generation flexible smart wearable devices. However, the current textile-based NGs prepared from metal nanowires and carbon-based conductive fibers still face matrix non-degradability, structural instability, high cost and difficulty in large-scale production. Herein, inspired by the structure of sebum barrier-hair-epidermal layer from human skin, an inexpensive and general PCR-TENG is constructed by polypyrrole modified cotton yarns as an elastic layer, glycerol-plasticized silk fibroin (RG) film as an epithelial layer, and polyvinyl alcohol (PVA) film as the subcutaneous layer, via casting and bidirectional cilia implantation strategy. Among them, the PCR-TENG with an area of only 2 cm(2) has an open circuit voltage output of >350 mV and high stability (8000 compressions). Furthermore, PCR-TENG allows the identification of various types of body motion by a correlation between gestures and corresponding electrical signals. It can be used for tiptoe posture monitoring during "The Lazy Exercises" and somatosensory feedback for prosthesis-wearing patients facing multiple road conditions. The good stability and pressure response of the yarn-based elastic interlayer enables it to collect the kinetic energy of disordered motions of different amplitudes and achieve real-time and stable joint motion monitoring in the rehabilitation training of patients with hand spasticity. Additionally, we can also design fabric-based PCR-TENG via large-scale 3D fabric weaving. Our work provides new insights for the design and application of next-generation self-powered intelligent wearable devices.
引用
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页数:13
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