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<p>The triboelectric nanogenerator (TENG) has emerged as a promising renewable energy technology for harvesting kinetic energy from natural sources, such as human motion and rainfall. In this study, we fabricate a mechanically robust, porous, and superhydrophobic PTFE-SiO<sub>2</sub> nanofiber (NF)-based TENG using a facile electrohydrodynamic spinning technique, <i>i.e.</i>, electrospinning method. The incorporation of SiO<sub>2</sub> nanoparticles (NPs) into the PTFE NF matrix significantly enhances the output performance, energy-harvesting efficiency, and superhydrophobic characteristics of the PTFE-SiO<sub>2</sub> NF-based TENG. The optimized PTFE-SiO<sub>2</sub> NF-based TENG achieves a maximum energy-harvesting efficiency of 102&#xa0;mW·N<sup>−1</sup>·m<sup>−2</sup>, outperforming previously reported NF-based TENGs. Moreover, it successfully harvests kinetic energy from multiple natural stimuli, generating 429&#xa0;μW from human interaction and 1.65&#xa0;μW from water droplets. These results demonstrate the potential of PTFE-SiO<sub>2</sub> NF-based TENG for integration into self-powered wearable electronics and environmental energy-harvesting systems for their autonomous operation without reliance on external power sources.</p> Graphical abstract <p></p>

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Nanotextured Tribonegative PTFE-SiO2 Submicron Fibers for Self-Cleanable and Highly Flexible Kinetic Energy Harvester

  • 期刊论文

  • 发表日期：

    2025年11月3日

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  • Freddy Baltazar Iniguez,
  • Daekyu Choi,
  • Peijin Jiang,
  • Dogun Park,
  • Kiyong Kim,
  • Min Wook Lee,
  • Hongseok Jo,
  • Seongpil An

摘要

The triboelectric nanogenerator (TENG) has emerged as a promising renewable energy technology for harvesting kinetic energy from natural sources, such as human motion and rainfall. In this study, we fabricate a mechanically robust, porous, and superhydrophobic PTFE-SiO2 nanofiber (NF)-based TENG using a facile electrohydrodynamic spinning technique, i.e., electrospinning method. The incorporation of SiO2 nanoparticles (NPs) into the PTFE NF matrix significantly enhances the output performance, energy-harvesting efficiency, and superhydrophobic characteristics of the PTFE-SiO2 NF-based TENG. The optimized PTFE-SiO2 NF-based TENG achieves a maximum energy-harvesting efficiency of 102 mW·N−1·m−2, outperforming previously reported NF-based TENGs. Moreover, it successfully harvests kinetic energy from multiple natural stimuli, generating 429 μW from human interaction and 1.65 μW from water droplets. These results demonstrate the potential of PTFE-SiO2 NF-based TENG for integration into self-powered wearable electronics and environmental energy-harvesting systems for their autonomous operation without reliance on external power sources.

Graphical abstract