Waste Fabric‐Derived Aerogel Fiber for Self‐Powered Tactile Sensing with High Sensitivity

Abstract The nanofluidic fibers with unique ion‐selective transport enable the osmotic power generation and self‐powered sensing. However, the extremely nanoconfined channels in these fibers result in high internal resistance, limiting energy harvesting and the detection sensitivity of fiber‐based sensors. In this work, aramid nanofibers (ANFs)‐based aerogel fibers fabricated using waste fabrics are exploited as an ion transporter for energy conversion and self‐powered sensors. Benefiting from the 3D nanoporous structure, the aerogel fiber exhibits an internal resistance of ca. 10 kΩ under 500‐fold NaCl, much less than that of traditional energy generators (e.g., several tens of thousands of ohms). The low internal resistance results in enhanced output power density (17.6 W m −2 ) under 500‐fold NaCl gradient. Moreover, the ANFs aerogel fibers remain stable in solutions over 30 days in terms of structure integrity and power generation capacity. Notably, the aerogel fibers demonstrate an ultra‐fast response with a response time of 25 ms and an ultra‐low detection limit of 0.20 mN, enabling real‐time sensing of motions and movements. These features highlight their substantial potential as self‐powered sensors with ultra‐high sensitivity, significantly advancing the development of fiber‐based sensors.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-09-20
DOI
https://doi.org/10.1002/adfm.202520263
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

Waste Fabric‐Derived Aerogel Fiber for Self‐Powered Tactile Sensing with High Sensitivity

Mengyuan Peng, Yumeng Xia, Kunkun Zhu, Xungai Wang et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Waste Fabric‐Derived Aerogel Fiber for Self‐Powered Tactile Sensing with High Sensitivity

Mengyuan Peng, Yumeng Xia, Kunkun Zhu, Xungai Wang, Jinfeng Wang, Jinming Zhang, Shouwei Zhang, Qingtao Liu
article en

Abstract

Abstract The nanofluidic fibers with unique ion‐selective transport enable the osmotic power generation and self‐powered sensing. However, the extremely nanoconfined channels in these fibers result in high internal resistance, limiting energy harvesting and the detection sensitivity of fiber‐based sensors. In this work, aramid nanofibers (ANFs)‐based aerogel fibers fabricated using waste fabrics are exploited as an ion transporter for energy conversion and self‐powered sensors. Benefiting from the 3D nanoporous structure, the aerogel fiber exhibits an internal resistance of ca. 10 kΩ under 500‐fold NaCl, much less than that of traditional energy generators (e.g., several tens of thousands of ohms). The low internal resistance results in enhanced output power density (17.6 W m −2 ) under 500‐fold NaCl gradient. Moreover, the ANFs aerogel fibers remain stable in solutions over 30 days in terms of structure integrity and power generation capacity. Notably, the aerogel fibers demonstrate an ultra‐fast response with a response time of 25 ms and an ultra‐low detection limit of 0.20 mN, enabling real‐time sensing of motions and movements. These features highlight their substantial potential as self‐powered sensors with ultra‐high sensitivity, significantly advancing the development of fiber‐based sensors.

Advanced Functional MaterialsVol. 36(14)
Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), Wuhan Textile University (CN), Institute of Chemistry (CN)
Openalex Percentile: Top 75%
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.

Waste Fabric‐Derived Aerogel Fiber for Self‐Powered Tactile Sensing with High Sensitivity — Mengyuan Peng, Yumeng Xia, et al. · Advanced Functional Materials (2025) | TGRS Research Map | TGRS