A stretchable, self-healing conductive hydrogels based on nanocellulose supported graphene towards wearable monitoring of human motion
[Display omitted] •A stretchable hydrogel is prepared by dispersing TOCNF-carried GN into PAA.•Mechanical toughness and electro-conductibility are enhanced by TOCNF-GN nanocomposites.•Hydrogel-based sensor shows high sensitivity and self-healing efficiency. Stretchable, self-healing and conductive h...
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Published in | Carbohydrate polymers Vol. 250; p. 116905 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
15.12.2020
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•A stretchable hydrogel is prepared by dispersing TOCNF-carried GN into PAA.•Mechanical toughness and electro-conductibility are enhanced by TOCNF-GN nanocomposites.•Hydrogel-based sensor shows high sensitivity and self-healing efficiency.
Stretchable, self-healing and conductive hydrogels have attracted much attention for wearable strain sensors, which are highly required in health monitoring, human-machine interaction and robotics. However, the integration of high stretchability, self-healing capacity and enhanced mechanical performance into one single conductive hydrogel is still challenging. In this work, a type of stretchable, self-healing and conductive composite hydrogels are fabricated by uniformly dispersing TEMPO-oxidized cellulose nanofibers (TOCNFs)-graphene (GN) nanocomposites into polyacrylic acid (PAA) hydrogel through an in-situ free radical polymerization. The resulting hydrogels demonstrate a stretchability (∼850 %), viscoelasticity (storage modulus of 32 kPa), mechanical strength (compression strength of 2.54 MPa, tensile strength of 0.32 MPa), electrical conductivity (∼ 2.5 S m−1) and healing efficiency of 96.7 % within 12 h. The hydrogel-based strain sensor shows a high sensitivity with a gauge factor of 5.8, showing great potential in the field of self-healing wearable electronics. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0144-8617 1879-1344 1879-1344 |
DOI: | 10.1016/j.carbpol.2020.116905 |