Bacterial Cellulose Reinforced Polyaniline Electroconductive Hydrogel with Multiple Weak H‐Bonds as Flexible and Sensitive Strain Sensor

Hydrogel, as a promising soft material, possesses many functional advantages such as stretchability, viscoelasticity, and biocompatibility. An advanced electronic platform for strain sensor is constructed by modifying hydrogels with various doping techniques. Herein, a novel flexible conductive hydr...

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Veröffentlicht in:Macromolecular materials and engineering 2021-08, Vol.306 (8), p.n/a
Hauptverfasser: Qin, Hanglan, Chen, Yajun, Huang, Jieyu, Wei, Qufu
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Sprache:eng
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Zusammenfassung:Hydrogel, as a promising soft material, possesses many functional advantages such as stretchability, viscoelasticity, and biocompatibility. An advanced electronic platform for strain sensor is constructed by modifying hydrogels with various doping techniques. Herein, a novel flexible conductive hydrogel is synthesized by combination of bacterial cellulose/sodium alginate/polyacrylamide with the polyaniline (BSP‐PANI) through multiple intermolecular interactions. In the obtained BSP‐PANI hydrogel system, the incorporated BC serves the function of mechanically toughening and the formation of polyaniline conducting network endows the hydrogels electrical conductivity. The assembled hydrogel strain sensor can detect electrical response under different applied strains (1–200%) and monitor human motion in real time. Therefore, it is believed that the BSP‐PANI hydrogel prepared by the feasible synergetic strategy proposed in this work has greatly diversified application in smart epidermal sensors and artificial intelligence devices. A novel flexible conductive hydrogel is prepared by combination of bacterial cellulose/sodium alginate/polyacrylamide with the polyaniline through multiple intermolecular interactions. The assembled hydrogel strain sensor can detect electrical response under different applied strains and monitor human motion in real time, which has greatly diversified application in smart epidermal sensors and artificial intelligence devices.
ISSN:1438-7492
1439-2054
DOI:10.1002/mame.202100159