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Peer-reviewedCC BY-NC 4.0Small (Weinheim an Der Bergstrasse, Germany)

MO/PVDF‐HFP Electrospun Nanofiber‐Based Triboelectric Nanogenerator for Mechanical Energy Harvesting and Boundary Security Sensing

  1. 1Department of Electronics and Information Convergence Engineering, Institute For Wearable Convergence Electronics Kyung Hee University Yongin‐si Gyeonggi‐do Republic of Korea

Abstract

Global energy demand has rapidly increased for sustainable and self‐powered wearable electronic devices. Triboelectric nanogenerators (TENGs) have emerged as a promising approach for generating electrical energy by harvesting mechanical energy from daily human activities. In this report, magnesium oxide (MgO (MO)) nanoparticles (NPs) were prepared via a one‐step hydrothermal method. Subsequently, various concentrations of MO NPs were incorporated into poly(vinylidene fluoride‐co‐hexafluoropropylene) (PVDF‐HFP), and nanofiber films (NFs) were fabricated via an electrospinning process. The fabricated films displayed high flexibility, making them suitable for motion‐induced sensing and energy harvesting applications. Furthermore, the maximum electrical output performance was achieved with 0.05 wt% MO/PVDF‐HFP NF. The optimized MO/PVDF‐HFP NF‐based TENG exhibited a voltage, current, charge density, and power density of 180 V, 5 µA, 45 µCm−2, and 1.5 Wm−2, respectively. The TENG was further evaluated for device robustness, stability, and long‐term durability. Furthermore, the TENG was integrated into a self‐powered boundary‐detection security system that can detect human movement in restricted or unauthorized areas. This approach can pave the way to advance self‐powered security and boundary‐monitoring systems by providing a sustainable, low‐cost, and energy‐efficient strategy for autonomous security technologies.

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BibTeX
@article{gatla2026mopvdfhfp,
  title = {{MO/PVDF‐HFP Electrospun Nanofiber‐Based Triboelectric Nanogenerator for Mechanical Energy Harvesting and Boundary Security Sensing}},
  author = {Goutham Gatla and Venkata Siva Kavarthapu and Anand Kurakula and Ramadevi Vadlakonda and Jae Su Yu},
  journal = {Small (Weinheim an Der Bergstrasse, Germany)},
  year = {2026},
  month = aug,
  doi = {10.1002/smll.75434},
  url = {https://doi.org/10.1002/smll.75434},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - MO/PVDF‐HFP Electrospun Nanofiber‐Based Triboelectric Nanogenerator for Mechanical Energy Harvesting and Boundary Security Sensing
AU  - Goutham Gatla
AU  - Venkata Siva Kavarthapu
AU  - Anand Kurakula
AU  - Ramadevi Vadlakonda
AU  - Jae Su Yu
PY  - 2026
DA  - 2026/08/31
JO  - Small (Weinheim an Der Bergstrasse, Germany)
DO  - 10.1002/smll.75434
UR  - https://doi.org/10.1002/smll.75434
AB  - Global energy demand has rapidly increased for sustainable and self‐powered wearable electronic devices. Triboelectric nanogenerators (TENGs) have emerged as a promising approach for generating electrical energy by harvesting mechanical energy from daily human activities. In this report, magnesium oxide (MgO (MO)) nanoparticles (NPs) were prepared via a one‐step hydrothermal method. Subsequently, various concentrations of MO NPs were incorporated into poly(vinylidene fluoride‐co‐hexafluoropropylene) (PVDF‐HFP), and nanofiber films (NFs) were fabricated via an electrospinning process. The fabricated films displayed high flexibility, making them suitable for motion‐induced sensing and energy harvesting applications. Furthermore, the maximum electrical output performance was achieved with 0.05 wt% MO/PVDF‐HFP NF. The optimized MO/PVDF‐HFP NF‐based TENG exhibited a voltage, current, charge density, and power density of 180 V, 5 µA, 45 µCm−2, and 1.5 Wm−2, respectively. The TENG was further evaluated for device robustness, stability, and long‐term durability. Furthermore, the TENG was integrated into a self‐powered boundary‐detection security system that can detect human movement in restricted or unauthorized areas. This approach can pave the way to advance self‐powered security and boundary‐monitoring systems by providing a sustainable, low‐cost, and energy‐efficient strategy for autonomous security technologies.
SN  - 1613-6810
SN  - 1613-6829
ER  -