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  5. Electro‐Thermo Controlled Water Valve Based on 2D Graphene–Cellulose Hydrogels

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Article
English
2022

Electro‐Thermo Controlled Water Valve Based on 2D Graphene–Cellulose Hydrogels

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English
2022
Advanced Functional Materials
Vol 32 (42)
DOI: 10.1002/adfm.202201904

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Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

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Kou Yang
Musen Chen
Qian Wang
+5 more

Abstract

Novel 2D hydrogels with coupled electro‐thermoregulation for water transport are constructed via self‐assembly of hydroxypropyl cellulose (HPC) with graphene oxide (GO) and reduced GO (rGO), where the capability of HPC to switch between hydrophobic and hydrophilic states is exploited. Amphiphilic GO surface is used to guide the ordering and alignment of liquid crystalline HPC domains. The changes in conformation and alignment of HPC serve as a switch for optical properties and water transport. A composite consisting of electrically conductive rGO and 2D hydrogel is developed to produce thermal stimulus and thus construct an electro‐thermo controlled valve for regulated water transfer. The prepared 2D hydrogel has a large swelling rate, outstanding mechanical properties (Young's modulus is 2.5 GPa), and superior electrical conductivity (176 S cm −1 ). The ability of HPC domains to change conformation in 2D confinement, when Joule heating is applied, can function as a 2D low footprint water switcher with optical control in smart membranes. The proposed sustainable approach to self‐assembly of HPC in 2D confinement of GO and rGO is applicable to the whole family of lower critical solution temperature polymers. Thus, a ubiquitous and sustainable synthesis of novel low dimensional robust multifunctional hydrogels is demonstrated.

How to cite this publication

Kou Yang, Musen Chen, Qian Wang, Sergey Yu. Grebenchuk, Siyu Chen, Xuanye Leng, Konstantin ‘kostya’ Novoselov, Daria V. Andreeva (2022). Electro‐Thermo Controlled Water Valve Based on 2D Graphene–Cellulose Hydrogels. Advanced Functional Materials, 32(42), DOI: 10.1002/adfm.202201904.

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Publication Details

Type

Article

Year

2022

Authors

8

Datasets

0

Total Files

0

Language

English

Journal

Advanced Functional Materials

DOI

10.1002/adfm.202201904

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