Stretchable, rapid self-healing guar gum-poly(acrylic acid) hydrogels as wearable strain sensors for human motion detection based on Janus graphene oxide

Wearable strain sensors have received widespread attention in research fields due to their applications in human motion detection. In this manuscript, the fabrication of functionalized Janus graphene oxide (GO) nanosheets were used by Pickering emulsion template. Polypyrrole (PPy) and poly(2-(dimeth...

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Veröffentlicht in:International journal of biological macromolecules 2021-11, Vol.191, p.627-636
Hauptverfasser: Deng, Zihan, Lin, Bencai, Wang, Wenxiang, Bai, Liangjiu, Chen, Hou, Yang, Lixia, Yang, Huawei, Wei, Donglei
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Sprache:eng
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Zusammenfassung:Wearable strain sensors have received widespread attention in research fields due to their applications in human motion detection. In this manuscript, the fabrication of functionalized Janus graphene oxide (GO) nanosheets were used by Pickering emulsion template. Polypyrrole (PPy) and poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA) were asymmetrically grafted on the two sides of GO (GO@PPy/PDMAEMA Janus NS), which successfully applied to synthesize Janus NS/guar gum-poly(acrylic acid) (GG-PAA) self-healing nanocomposite hydrogels. The outstandingly improved self-healing efficiency (92.8% for 2 h) and mechanical properties (strength of 4.12 MPa and toughness of 873.8%) of nanocomposite hydrogels were mainly supported by the collaborative effect of reversible electrostatic interactions, multiple hydrogen bonds and metal-ligand coordination. Moreover, the hydrogels exhibited strain sensitivity and could be able to monitor a variety of human motions, which have outstanding application prospects in wearable flexible sensors. •Amphiphilic Janus GO nanosheets were prepared via Pickering emulsion template.•The nanocomposite hydrogels with reversible noncovalent interactions were designed.•The hydrogels exhibited outstanding mechanical toughness and self-healing efficiency.•Hydrogels-based sensors showed high sensitivity for human motion detection.
ISSN:0141-8130
1879-0003
DOI:10.1016/j.ijbiomac.2021.09.051