A Self-Healing Triboelectric Nanogenerator Based on Feathers for Sensing and Energy Harvesting |
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Authors: | Jiaqing Zhu Yu Cheng Saifei Hao Zhong Lin Wang Ning Wang Xia Cao |
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Affiliation: | 1. Research Center for Bioengineering and Sensing Technology, Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, Beijing Municipal Key Laboratory of New Energy Materials and Technologies, Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083 China;2. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China;3. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China |
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Abstract: | A useful direction to solve the energy problem is the effective repeated use of biomaterial for mechanical energy collection and sensing applications. Here, a feather-based single-electrode triboelectric nanogenerator (F-STENG) by only sputtering copper atoms on the feathers are presented. The feather of F-STENG, as a natural material, has environmental friendliness, which is different from the polymer materials of other triboelectric nanogenerators. F-STENG has super durability due to its feather structure self-healing property. The device has a high output voltage of 90 V and an output current of 3.5 µA. After breaking and self-healing lots of times, the output performance is also 80% of the original. F-STENG has a high sensitivity to temperature, humidity, and wind speed, and the sensitivity is 0.50 V °C−1, -0.98 V RH−1, and 1.67 μA m−1 s−1. The output power of F-STENG is 0.62 mW g−1, which can realize global positioning and photographing to solve the module energy consumption problem. F-STENG provides an effective way for the application of self-powered sensors and equipment in military, industrial, transportation, and daily life. |
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Keywords: | self-healing self-powered triboelectric nanogenerator |
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