z-logo
open-access-imgOpen Access
Thermoresponsive Lignin-Reinforced Poly(Ionic Liquid) Hydrogel Wireless Strain Sensor
Author(s) -
Xinyu Qu,
Ye Zhao,
Ziang Chen,
Siying Wang,
Yanfang Ren,
Qian Wang,
Jinjun Shao,
Wenjun Wang,
Xiaochen Dong
Publication year - 2021
Publication title -
research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.8
H-Index - 16
ISSN - 2639-5274
DOI - 10.34133/2021/9845482
Subject(s) - materials science , ionic liquid , gauge factor , self healing hydrogels , toughness , strain gauge , polymer , thermal stability , smart polymer , composite material , chemical engineering , polymer chemistry , chemistry , medicine , biochemistry , alternative medicine , pathology , fabrication , engineering , catalysis
To meet critical requirements on flexible electronic devices, multifunctionalized flexible sensors with excellent electromechanical performance and temperature perception are required. Herein, lignin-reinforced thermoresponsive poly(ionic liquid) hydrogel is prepared through an ultrasound-assisted synthesized method. Benefitting from the electrostatic interaction between lignin and ionic liquid, the hydrogel displays high stretchability (over 1425%), excellent toughness (over 132 kPa), and impressive stress loading-unloading cyclic stability. The hydrogel strain sensor presents excellent electromechanical performance with a high gauge factor (1.37) and rapid response rate (198 ms), which lays the foundation for human body movement detection and smart input. Moreover, owing to the thermal-sensitive feature of poly(ionic liquid), the as-prepared hydrogel displays remarkable thermal response sensitivity (0.217°C -1 ) in body temperature range and low limit of detection, which can be applied as a body shell temperature indicator. Particularly, the hydrogel can detect dual stimuli of strain and temperature and identify each signal individually, showing the specific application in human-machine interaction and artificial intelligence. By integrating the hydrogel strain sensor into a wireless sensation system, remote motion capture and gesture identification is realized in real-time.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom