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Innovative Self-Powered Sensing: Potential of Fabrigami andElectrospun Nanofiber-Based Triboelectric Nanogeneratorfor Joint Biomechanics Monitoring

Gunawardhana, K.R. Sanjaya D. orcid logoORCID: 0000-0002-3793-0688, fang, zhou, McGuinness, Garrett orcid logoORCID: 0000-0002-1023-8667, Magre Colorado, Luz A. orcid logoORCID: 0000-0003-3528-2688, Baberwal, Sonal S. orcid logoORCID: 0000-0002-4809-1568, Ahmed Wani, Waseem orcid logoORCID: 0000-0002-6142-3408, Rodriguz, Brian J, O'Connor, Robert orcid logoORCID: 0000-0001-5794-6188, Smullen, Ciara, Ward, Tomás E. orcid logoORCID: 0000-0002-6173-6607 and Coyle, Shirley orcid logoORCID: 0000-0003-0493-8963 (2025) Innovative Self-Powered Sensing: Potential of Fabrigami andElectrospun Nanofiber-Based Triboelectric Nanogeneratorfor Joint Biomechanics Monitoring. Small (06363). ISSN 1613-6829

Abstract
This work presents a high-performance, self-powered triboelectric nanogenerator (TENG) embedded into an origami-inspired fabric (“fabrigami”) structure for real-time joint biomechanics monitoring. The device consists of electrospun polyvinylidene fluoride (PVDF) as the electronegative layer and silver-doped cellulose acetate (Ag-CA) as the electropositive layer, with enhanced surface charge density and mechanical durability. The fabrigami architecture amplifies contactseparation dynamics, enabling efficient detection of movements during joint motion while preserving conformability and air permeability. The optimized TENG based on 1.5% Ag in CA against PVDF exhibits remarkable electrical output characteristics, including an open-circuit voltage of 155.9 V, short-circuit current density of 8.134 mA m−2, and transferred charge density of 65.62 µC m-, with an instantaneous peak power density of 0.029 W m−2 achieved through an 11 MΩ external load resistance. The power conversion efficiency is 4.6–92.8% for 100–5 µm elastic compression of electrospun samples under 10 N, 2 Hz actuation. Sensor stability is observed over 15 000 cycles. The fabrigami knee sleeve includes a Bluetooth-enabled microcontroller transmitting real-time motion data wirelessly to measure joint angles and distinguish movement activities. This work demonstrates a novel strategy combining material innovation (Ag-CA nanofibers) with structural configurability to create a breathable and power-autonomous smart textile.
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Engineering > Materials
Engineering > Electronic engineering
Physical Sciences > Nanotechnology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
DCU Faculties and Schools > Faculty of Science and Health > School of Physical Sciences
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Wiley-VCH Verlag GmbH & Co. KGaA
Official URL:https://onlinelibrary.wiley.com/doi/10.1002/smll.2...
Copyright Information:Authors
Funders:Insight SFI Centre for Data Analytics ( SFI/12/RC/2289_P2), European Regional Development Fund, Research Training in Digitally-Enhanced Reality. Grant Number: 18/CRT/6224, CRT ML labs. Grant Number: 18/CRT/6183, Taighde Éireann. Grant Numbers: SFI/21/US/3765, 22/NCF/TF/10998
ID Code:31593
Deposited On:30 Sep 2025 09:54 by Sanjaya Dinuwan gunawardhana Karnasooriya Ragalage . Last Modified 30 Sep 2025 09:54
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