Issue 6, 2022

Graphene oxide-based composite organohydrogels with high strength and low temperature resistance for strain sensors

Abstract

In recent years, a rapid development of polymeric hydrogel-based sensors has been witnessed. However, conventional hydrogels often exhibit poor mechanical properties. Additionally, the use of these sensors at temperatures <0 °C is limited due to the freezing of the water molecules in the hydrogel matrix. In this study, graphene oxide/poly(acrylamide-co-N-(3-amino propyl)methacrylamide) [poly(AAm-co-APMA)/GO] hydrogels have been synthesized by UV photo-initiation polymerization. Subsequently, the poly(AAm-co-APMA)/GO-Gly (PAAG-Gly) organohydrogels were obtained by glycerol replacement. GO and glycerol had multiple interactions with the polymer chains, which endowed the physically crosslinked organohydrogel with a high fracture stress of up to 782.9 ± 38.6 kPa. Also, the glycerol molecules formed hydrogen bonds with the water molecules, thus inhibiting the formation of ice crystals. After storage at −20 °C for 24 h, the PAAG-Gly organohydrogels retained their superior mechanical properties, adhesion strength, and electrical conductivity. Once the cut surfaces of the organohydrogel were contacted, the conductive path was rapidly self-healed. Moreover, the PAAG-Gly organohydrogels exhibited excellent cytocompatibility. At 100% strain, the gauge factor of the organohydrogel-based sensor reached 4.22. The organohydrogel-based sensor revealed the capability to monitor human motions, such as finger, wrist and knee movements.

Graphical abstract: Graphene oxide-based composite organohydrogels with high strength and low temperature resistance for strain sensors

Supplementary files

Article information

Article type
Paper
Submitted
21 Nov 2021
Accepted
22 Dec 2021
First published
23 Dec 2021

Soft Matter, 2022,18, 1201-1208

Graphene oxide-based composite organohydrogels with high strength and low temperature resistance for strain sensors

R. Zhao, L. Jiang, P. Zhang, D. Li, Z. Guo and L. Hu, Soft Matter, 2022, 18, 1201 DOI: 10.1039/D1SM01655E

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