Highly Oxidation-Resistant and Self-Healable MXene-Based Hydrogels for Wearable Strain Sensor

Authors
Chae, AriMurali, G.Lee, Seul-YiGwak, JeonghwanKim, Seon JoonJeong, Yong JinKang, HansolPark, SeongminLee, Albert S.Koh, Dong-YeunIn, InsikPark, Soo-Jin
Issue Date
2023-06
Publisher
John Wiley & Sons Ltd.
Citation
Advanced Functional Materials, v.33, no.24
Abstract
Very recently, MXene-based wearable hydrogels have emerged as promising candidates for epidermal sensors due to their tissue-like softness and unique electrical and mechanical properties. However, it remains a challenge to achieve MXene-based hydrogels with reliable sensing performance and prolonged service life, because MXene inevitably oxidizes in water-containing system of the hydrogels. Herein, catechol-functionalized poly(vinyl alcohol) (PVA-CA)-based hydrogels is proposed to inhibit the oxidation of MXene, leading to rapid self-healing and superior strain sensing behaviors. Sufficient interaction of hydrophobic catechol groups with the MXene surface reduces the oxidation-accessible sites in the MXene for reaction with water and eventually suppresses the oxidation of MXene in the hydrogel. Furthermore, the PVA-CA-MXene hydrogel is demonstrated for use as a strain sensor for real-time motion monitoring, such as detecting subtle human motions and handwriting. The signals of PVA-CA-MXene hydrogel sensor can be accurately classified using deep learning models.
Keywords
SURFACE FUNCTIONALIZATION; NANOSHEETS; COMPOSITE; deep learning; hydrogels; MXenes; oxidation; poly(vinyl alcohol); sensors
ISSN
1616-301X
URI
https://pubs.kist.re.kr/handle/201004/113719
DOI
10.1002/adfm.202213382
Appears in Collections:
KIST Article > 2023
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE