Flexible and efficient triboelectric nanogenerators based on PVDF and boron nitride composite yarns and mats

Abstract

Flexible and scalable energy-harvesting materials are the driving force behind the emerging era of wearable and self-powered electronics that seamlessly integrate into modern life. Hence, triboelectric nanogenerators (TENGs) offer a versatile solution for integrating energy generation into smart textiles. Here, electrospun poly(vinylidene fluoride) (PVDF) mats and yarns incorporating boron nitride (BN) nanoparticles (1, 3, 5, and 10 wt%) were fabricated and characterized. The 5 wt% BN/PVDF composite exhibited the highest β-phase content and crystallinity, owing to the role of BN as an efficient nucleating agent that facilitates β-phase crystallization through strong interfacial interactions between the nanofiller and PVDF matrix. The triboelectric output was systematically compared across different structural configurations, including electrospun mats, yarns, and rolled-mat geometries. The BN/PVDF yarn-based TENG delivered the highest power density of 303 ± 0.30 mW m−2, representing ∼113% enhancement over pristine PVDF yarn and superior to previously reported PVDF-based devices. Moreover, despite its smaller active area, the yarn device produced higher power density than the mat counterpart (297 ± 0.43 mW m−2). These findings demonstrate that BN incorporation and yarn-based architecture enhanced power generation, providing a scalable route toward high-performance, flexible nanogenerators for wearable and self-powered electronics.

Graphical abstract: Flexible and efficient triboelectric nanogenerators based on PVDF and boron nitride composite yarns and mats

Supplementary files

Article information

Article type
Paper
Submitted
09 Dec 2025
Accepted
29 Mar 2026
First published
04 Jun 2026
This article is Open Access
Creative Commons BY license

Nanoscale, 2026, Advance Article

Flexible and efficient triboelectric nanogenerators based on PVDF and boron nitride composite yarns and mats

S. Sukumaran, A. Moradi, P. K. Szewczyk and U. Stachewicz, Nanoscale, 2026, Advance Article , DOI: 10.1039/D5NR05178A

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