https://scholars.lib.ntu.edu.tw/handle/123456789/629104
Title: | A textile-based triboelectric nanogenerator with humidity-resistant output characteristic and its applications in self-powered healthcare sensors | Authors: | Jao, YT Yang, PK Chiu, CM Lin, YJ Chen, SW Choi, D ZONG-HONG LIN |
Keywords: | Triboelectric nanogenerator; Biomechanical energy harvesting; Self-powered device; Functional textile; Healthcare sensor; CHITOSAN; ENERGY; YARNS; PERFORMANCE; PRESSURE; FABRICS; LAYER | Issue Date: | 2018 | Publisher: | ELSEVIER | Journal Volume: | 50 | Start page/Pages: | 513 | Source: | NANO ENERGY | Abstract: | Functional textiles have evoked great attention due to their promising applications in next-generation wearable and biomedical electronics. However, the constraints on the harsh operation environment and ineffective response to instantly reflect the physical status remain critical challenges. Herein, we develop a chitosan-based triboelectric nanogenerator (C-TENG) to harvest biomechanical energy from human motions, in which a nanostructured chitosan-glycerol film is utilized to promote the commercial textile into a multi-functional textile based on its transparency, flexibility, biocompatibility and adaptability to commercial fabrics. The output characteristics of the as-fabricated C-TENG are notably stable under various humidity conditions, distinguishing them from conventional TENGs. As the relative humidity (RH) changes from 20% to 80%, the electric output of the C-TENG remains unchanged, in contrast to the performance degradation observed for conventional TENGs. Moreover, the C-TENG can be further developed into various kinds of self-powered healthcare sensors for humidity, sweat, and gait phase detection. More importantly, the designed humidity sensor based on the C-TENG exhibits a promising advancement in sensitivity compared with conventional TENG-based humidity sensors. This work presents a new step in applying multi-functional textiles to wearable energy harvesters and self-powered sensors, which have high potential for future smart clothing products and personalized healthcare sensors. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629104 | ISSN: | 2211-2855 | DOI: | 10.1016/j.nanoen.2018.05.071 |
Appears in Collections: | 醫學工程學研究所 |
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