Fully Weft‐Faced Fabric Architectures Enable Triboelectric Nanogenerators with High‐Performance Energy Harvesting and Motion Sensing

Advancements in wearable technology are revolutionizing health monitoring, human-machine interaction, and environmental sensing, enabling seamless integration into daily life. However, the development of truly autonomous and reliable wearable electronics remains hindered by limited material longevity, safety concerns, and high production costs. Here, we present a fully weft-faced structured fabric-based triboelectric nanogenerator (FWSF-TENG) for wearable energy harvesting and self-powered sensing. Utilizing a weaving technique, we construct a densely packed, weft-dominated matrix of nylon filaments and silver-plated nylon yarns, integrated with a laminated composite of polydimethylsiloxane (PDMS) embedded with barium titanate nanoparticles and a copper-nickel fabric electrode. This robust, multilayered architecture is engineered to enhance triboelectric performance, maximizing contact area to ensure efficient charge transfer and stable output under diverse mechanical deformations. The FWSF-TENG demonstrates remarkable electrical performance, including a high-power density of 2408.70 mW m<sup>-2</sup> and excellent air permeability of 603 mm s<sup>-1</sup>, while maintaining stable performance after 10 wash cycles and over 60 000 operation cycles with skin compatibility. Its lightweight and breathable design allows seamless integration into smart textiles such as trousers and insoles, enabling real-time wireless activity detection and comprehensive gait analysis. Overall, this work offers a safe, durable, and cost-effective platform for next-generation smart textiles with strong potential in personalized health monitoring, accident prevention, and daily safety enhancement.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-01-05
DOI
https://doi.org/10.1002/smll.202514093
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

Fully Weft‐Faced Fabric Architectures Enable Triboelectric Nanogenerators with High‐Performance Energy Harvesting and Motion Sensing

Gazi Farhan Ishraque Toki, Mei Yi So, Junze Zhang, Taosif Ahmed et al.
Small
Advanced Sensor and Energy Harvesting Materials
article

Fully Weft‐Faced Fabric Architectures Enable Triboelectric Nanogenerators with High‐Performance Energy Harvesting and Motion Sensing

Gazi Farhan Ishraque Toki, Mei Yi So, Junze Zhang, Taosif Ahmed, J. Lu, Bingang Xu, Xinlong Liu, Yuanyuan Gao, Tiandi Chen
article en

Abstract

Advancements in wearable technology are revolutionizing health monitoring, human-machine interaction, and environmental sensing, enabling seamless integration into daily life. However, the development of truly autonomous and reliable wearable electronics remains hindered by limited material longevity, safety concerns, and high production costs. Here, we present a fully weft-faced structured fabric-based triboelectric nanogenerator (FWSF-TENG) for wearable energy harvesting and self-powered sensing. Utilizing a weaving technique, we construct a densely packed, weft-dominated matrix of nylon filaments and silver-plated nylon yarns, integrated with a laminated composite of polydimethylsiloxane (PDMS) embedded with barium titanate nanoparticles and a copper-nickel fabric electrode. This robust, multilayered architecture is engineered to enhance triboelectric performance, maximizing contact area to ensure efficient charge transfer and stable output under diverse mechanical deformations. The FWSF-TENG demonstrates remarkable electrical performance, including a high-power density of 2408.70 mW m<sup>-2</sup> and excellent air permeability of 603 mm s<sup>-1</sup>, while maintaining stable performance after 10 wash cycles and over 60 000 operation cycles with skin compatibility. Its lightweight and breathable design allows seamless integration into smart textiles such as trousers and insoles, enabling real-time wireless activity detection and comprehensive gait analysis. Overall, this work offers a safe, durable, and cost-effective platform for next-generation smart textiles with strong potential in personalized health monitoring, accident prevention, and daily safety enhancement.

SmallVol. 22(13)
Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 97%
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.