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Cellulose nanocrystal mediated fast self-healing and shape memory conductive hydrogel for wearable strain sensors.

Authors :
Xiao G
Wang Y
Zhang H
Zhu Z
Fu S
Source :
International journal of biological macromolecules [Int J Biol Macromol] 2021 Feb 15; Vol. 170, pp. 272-283. Date of Electronic Publication: 2020 Dec 29.
Publication Year :
2021

Abstract

Electro-conductive hydrogel (ECH) with self-healing, shape memory and biocompatible properties is highly urgent for wearable strain sensors to prolonging their lifespan, endowing programmable shape control property, and improving affinity to skin during service. However, most of synthetic polymer-based ECH usually involve potential toxicity, long healing and shape drive time. Herein, a fast healable and shape memory ECH with excellent biocompatibility is reported for the first time by incorporating cellulose nanocrystals grafted phenylboronic acid (CNCs-ABA) and multiwalled carbon nanotubes (MWCNTs) into polyvinyl alcohol (PVA). CNCs-ABA is designed as dispersant and crosslinker in hydrogel. pH-induced dynamic borate bonds give hydrogel excellent shape recovery and fixity ratio of 82.1% and 78.2%, respectively. Meanwhile, 97.1% healing efficiency is obtained within 2 min depending on remarkable photothermal effect of MWCNTs and reversible microcrystallization. Double crosslinking networks endow excellent mechanical properties to hydrogel, whose tensile strength, strain and elastic modulus reach 227.0 kPa, 395.0% and 9.0 kPa, respectively. Furthermore, the synergistic effect of MWCNTs and NaOH enhance the conductivity of hydrogel with value of 3.8×10 <superscript>-2</superscript>  S/m. In addition, the hydrogel can act as strain sensor for detecting human motion with superior biocompatibility and fast resistance response to applied strain, which is suitable for human health management.<br />Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-0003
Volume :
170
Database :
MEDLINE
Journal :
International journal of biological macromolecules
Publication Type :
Academic Journal
Accession number :
33359808
Full Text :
https://doi.org/10.1016/j.ijbiomac.2020.12.156