Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

ABSTRACT Wearable textile triboelectric nanogenerators (T‐TENGs) offer a promising platform for wearable energy harvesting and self‐powered sensing. In this work, we present a wearable spray‐coated graphene‐based T‐TENG, in which a polyvinyl alcohol (PVA) adhesion layer serves to enhance the interfacial performance. The graphene/PVA textile (Gr/PVA‐Tex) electrode exhibits a significantly low sheet resistance of 479.3 Ω □ −1 , which is over four orders of magnitude lower than that of a pure graphene textile (Gr‐Tex) electrode (5.4 MΩ □ −1 ), while maintaining stable electrical conductivity after more than 1000 bending cycles. The graphene/PVA layer functions as both the electric induction electrode and triboelectric component, enhancing the wearability by increasing the average total strain by 60.5% while maintaining the ultimate tensile strength in both warp (103.3 MPa) and weft (48.6 MPa) directions. This mechanical reinforcement ensures stable and durable performance of the T‐TENG device. The device was optimized for simultaneous pressure (with area‐normalized sensitivity of 0.176 kPa −1 cm −2 from 9.8 to 120 kPa and 0.003 kPa −1 cm −2 from 120.0 to 318.5 kPa) and biomotion sensing, making it well‐suited for applications such as rehabilitation monitoring, activity tracking, and emergency response. This work presents a facile, low‐cost fabrication strategy for T‐TENGs and highlights the functional advantages of sprayed graphene/PVA for next‐generation wearable electronics.

Authors

Institutions

Publication Details

Journal
Advanced Materials Technologies
Published
2026-03-17
DOI
https://doi.org/10.1002/admt.202502658
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

A. Leonardi, Felice Torrisi, Hester Dang, Benji Fenech‐Salerno et al.
Advanced Materials Technologies
Advanced Sensor and Energy Harvesting Materials
article

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

A. Leonardi, Felice Torrisi, Hester Dang, Benji Fenech‐Salerno, Federico La Barbera
article en

Abstract

ABSTRACT Wearable textile triboelectric nanogenerators (T‐TENGs) offer a promising platform for wearable energy harvesting and self‐powered sensing. In this work, we present a wearable spray‐coated graphene‐based T‐TENG, in which a polyvinyl alcohol (PVA) adhesion layer serves to enhance the interfacial performance. The graphene/PVA textile (Gr/PVA‐Tex) electrode exhibits a significantly low sheet resistance of 479.3 Ω □ −1 , which is over four orders of magnitude lower than that of a pure graphene textile (Gr‐Tex) electrode (5.4 MΩ □ −1 ), while maintaining stable electrical conductivity after more than 1000 bending cycles. The graphene/PVA layer functions as both the electric induction electrode and triboelectric component, enhancing the wearability by increasing the average total strain by 60.5% while maintaining the ultimate tensile strength in both warp (103.3 MPa) and weft (48.6 MPa) directions. This mechanical reinforcement ensures stable and durable performance of the T‐TENG device. The device was optimized for simultaneous pressure (with area‐normalized sensitivity of 0.176 kPa −1 cm −2 from 9.8 to 120 kPa and 0.003 kPa −1 cm −2 from 120.0 to 318.5 kPa) and biomotion sensing, making it well‐suited for applications such as rehabilitation monitoring, activity tracking, and emergency response. This work presents a facile, low‐cost fabrication strategy for T‐TENGs and highlights the functional advantages of sprayed graphene/PVA for next‐generation wearable electronics.

Advanced Materials Technologies
University of Catania (IT), Imperial College London (GB)
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.