Ultra‐Sensitive Nanofiber‐Based Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Triboelectric nanogenerator (TENG) represents a major advancement in capability for self-powered sensors, with its ability to convert low-frequency mechanical movements into electricity. These devices serve at present an unmet medical and societal need in the monitoring of human activity and enhancing interactions between humans and machines, the optioned interface for setting up verifiable digital twins. Here, a novel composite nanofibrous TENG (CNF-TENG) based on borophene@poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) is constructed through electrospinning. Comprehensive materials characterization of the exfoliated nanosheets confirms crystalline sheet morphology and validates their incorporation into the fibers. The inclusion of borophene introduces a dual innovation by enhancing both the jet stressing in electrospinning and the quality of doped films. This improvement is attributed to the enhanced effective permittivity through interfacial polarization, which promotes β-phase formation, electron-donating capacity, surface charge trapping, and refined fiber morphology, while inducing a transition from a hydrophobic to a superhydrophobic surface state. When paired with nylon 66 nanofibers, the CNF-TENG exhibits a remarkable sensitivity of 53.8 ± 1.2 V kPa<sup>-1</sup>, and a power density of 1.2 W m<sup>-2</sup>, representing a 13-fold enhancement over pristine PVDF-HFP. An array of 16 ultra-sensitive CNF-TENG sensors for possible use in dementia monitoring and sleep disorder mitigation is successfully demonstrated, giving various sleep patterns and physiological data sets.

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Publication Details

Journal
Advanced Materials
Published
2025-12-30
DOI
https://doi.org/10.1002/adma.202521626
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02

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article

Ultra‐Sensitive Nanofiber‐Based Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Seyedeh Sadrieh Emadian, Jae Sung Yun, Soma Roy, Bhaskar Dudem et al.
3 citations
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
2.02
article

Ultra‐Sensitive Nanofiber‐Based Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Seyedeh Sadrieh Emadian, Jae Sung Yun, Soma Roy, Bhaskar Dudem, Md Delowar Hussain, Satheesh Krishnamurthy, S. Ravi P. Silva, Vlad Stolojan
article en
3 citations

Abstract

Triboelectric nanogenerator (TENG) represents a major advancement in capability for self-powered sensors, with its ability to convert low-frequency mechanical movements into electricity. These devices serve at present an unmet medical and societal need in the monitoring of human activity and enhancing interactions between humans and machines, the optioned interface for setting up verifiable digital twins. Here, a novel composite nanofibrous TENG (CNF-TENG) based on borophene@poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) is constructed through electrospinning. Comprehensive materials characterization of the exfoliated nanosheets confirms crystalline sheet morphology and validates their incorporation into the fibers. The inclusion of borophene introduces a dual innovation by enhancing both the jet stressing in electrospinning and the quality of doped films. This improvement is attributed to the enhanced effective permittivity through interfacial polarization, which promotes β-phase formation, electron-donating capacity, surface charge trapping, and refined fiber morphology, while inducing a transition from a hydrophobic to a superhydrophobic surface state. When paired with nylon 66 nanofibers, the CNF-TENG exhibits a remarkable sensitivity of 53.8 ± 1.2 V kPa<sup>-1</sup>, and a power density of 1.2 W m<sup>-2</sup>, representing a 13-fold enhancement over pristine PVDF-HFP. An array of 16 ultra-sensitive CNF-TENG sensors for possible use in dementia monitoring and sleep disorder mitigation is successfully demonstrated, giving various sleep patterns and physiological data sets.

Advanced MaterialsVol. 38(10)
Korea University (KR), Melbourn Science Park (GB), University of Surrey (GB), Korea Institute of Science and Technology (KR)
University of Surrey, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
2.02
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