A self-healing water-dissolvable and stretchable cellulose-hydrogel for strain sensor

The flexible hydrogel sensors in the field of artificial intelligence have been widely concerned, which could be applied in medical monitoring, human motion detection, and intelligent robots. However, the integration of the synergistic properties of excellent mechanical properties, temperature sensi...

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Bibliographic Details
Published in:Cellulose (London) 2022, Vol.29 (1), p.341-354
Main Authors: Wang, Huiqiang, Yu, Xin, Tang, Xing, Sun, Yong, Zeng, Xianhai, Lin, Lu
Format: Article
Language:English
Subjects:
Artificial intelligence
Bending
Bioorganic Chemistry
Cellulose
Ceramics
Chemistry
Chemistry and Materials Science
Composites
Entanglement
Glass
Human motion
Hydrogels
Hydrogen bonding
Mechanical properties
Motion perception
Nanocrystals
Natural Materials
Organic Chemistry
Original Research
Physical Chemistry
Polymer Sciences
Polyvinyl alcohol
Robot dynamics
Sensors
Sustainable Development
Wrist
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Summary:The flexible hydrogel sensors in the field of artificial intelligence have been widely concerned, which could be applied in medical monitoring, human motion detection, and intelligent robots. However, the integration of the synergistic properties of excellent mechanical properties, temperature sensitivity, adhesion ability and self-healing ability for preparation of hydrogel-type strain sensor is still a challenge. Moreover, how can we recover cumulated sensors without affecting the environment? Herein, a self-healing hydrogel was prepared based on deep eutectic solvent (DES) combined with polyvinyl alcohol (PVA), and cellulose nanocrystals (CNCs), which has the peotential application as wearable strain sensors. The DES network crosslinks PVA/CMC-Na/CNCs through ionic bonds, and the overall network is further linked through physical entanglement and hydrogen bonding interactions. Interestingly, the hydrogel could sensitively detect large or subtle movements (such as finger bending, wrist bending, knee bending, pulse and pronounce), indicating its potential applications in human–computer interaction and personal health monitoring. Graphical abstract
ISSN:0969-0239
1572-882X
DOI:10.1007/s10570-021-04321-8