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Kim, Jae Joon
Circuits & Systems Design Lab.
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Biodegradable, stretchable, and high-performance triboelectric nanogenerators through interfacial polarization in bilayer structure

Author(s)
Park, Yong-JinKwak, Min SubKim, YonggiNa, SangyunChang, YoojinKim, Young-RyulCho, HaryeongLee, SeungjaeKim, Jae JoonKo, Hyunhyub
Issued Date
2024-12
DOI
10.1016/j.nanoen.2024.110411
URI
https://scholarworks.unist.ac.kr/handle/201301/84536
Citation
NANO ENERGY, v.132, pp.110411
Abstract
The increasing demand for wearable electronics has led to the development of triboelectric nanogenerators (TENGs) as a promising energy harvesting and sensing technology. However, conventional TENGs often utilize non-biodegradable materials, contributing to environmental pollution. In this work, we present a stretchable and biodegradable TENG based on hydroxyethyl cellulose (HEC) and gelatin (HG-TENG). The HG-TENG features a bilayered structure, where the large difference in their relative permittivity between HEC and gelatin induces interfacial polarization, effectively mitigating charge recombination and enhancing triboelectric performance. The optimized HG-TENG achieves an open-circuit voltage (Voc) of 93 V, a maximum power density of 57.8 mu W/ cm2, and can power 38 blue light-emitting diodes. The device exhibits a stretchability of 150 % and biodegrades within 3 hours in phosphate-buffered saline. Furthermore, we demonstrate the application of the HG-TENG as a wearable sensor by modifying it with trichloro(1H, 1H, 2H, 2H-perfluorooctyl)silane (FOTS) (FHG-TENG). The FHG-TENG-based smart glove, integrated with machine learning algorithms, enables real-time monitoring of blood pressure waveforms and finger motions, showcasing its potential for human-machine interfaces. The smart glove, equipped with five FHG-TENGs on the proximal interphalangeal joints of each finger, detects diverse finger gestures and generates voltage signals that control a robotic hand in real-time, demonstrating effective human-machine interaction through synchronized motion. Moreover, the smart glove achieves a high recognition accuracy of 96.15 % for 10 different hand sign languages.
Publisher
ELSEVIER
ISSN
2211-2855
Keyword (Author)
BiodegradationWearable sensorHuman-machine interfaceTriboelectric nanogeneratorInterfacial polarization
Keyword
HYDROXYETHYL CELLULOSEMECHANICAL-PROPERTIESGELATINCHARGESTENG

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