https://scholars.lib.ntu.edu.tw/handle/123456789/640135
標題: | Snake-scale stimulated robust biomimetic composite triboelectric layer for energy harvesting and smart health monitoring | 作者: | Huang, Ming Zheng Parashar, Parag Chen, An Rong Shi, Shih Chen Tseng, Yao Hsuan Lim, Kee Chin Yeh, Hsuan Yu Pal, Arnab DUN-YEN KANG ZONG-HONG LIN |
關鍵字: | Biomechanical energy harvesting | Biomimetic | Smart healthcare | Snake-scales | Triboelectric nanogenerator | Wear resistance | 公開日期: | 1-四月-2024 | 卷: | 122 | 來源出版物: | Nano Energy | 摘要: | Extreme frictional wear of triboelectric layers severely hinders long-term sustainability of triboelectric nanogenerators (TENGs) for efficient ambient energy harvesting. The state-of-the-art solutions necessitate sophisticated structural designs and complex packaging constraints, impeding the feasibility of TENGs for practical applications. Herein, inspired by the structures and compositions of snake scales, a biomimetic composite (BC) film is fabricated as a wear-resistant triboelectric contact layer. The successful formation of disulfide bond-facilitated cross-linkage of cysteine proteins in the keratin-based BC film promotes excellent mechanical resilience and durability, thereby solving the material abrasion challenges associated with solid-solid triboelectric layers. The BC film, with toothed microstructure, exhibits improved charge transfer, low friction, and consistent long-term stable outputs compared to commercial films. Furthermore, a self-powered BC film-based TENG is integrated into a bicycle for biomechanical energy harvesting, lightening warning signals for safer night ride with stable 300 V electrical output for at least 6 h. Moreover, a smart health monitoring system is further proposed by embedding TENG-based sensors into the bicycle saddle, accurately capturing the rider's pelvic-saddle interactions on varying terrain slopes. By leveraging the unique biomechanical information, machine learning-assisted user identification and terrain slope data classifications are achieved with high accuracies, laying a foundation for futuristic smart healthcare applications. This work provides a strategy to reduce material abrasion by exploiting the unique characteristics of a biomimetic material, facilitating a basis for efficient environmental energy harvesting and smart sensing. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/640135 | ISSN: | 22112855 | DOI: | 10.1016/j.nanoen.2024.109266 |
顯示於: | 化學工程學系 |
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