Highly Oxidation-Resistant and Self-Healable MXene-Based Hydrogels for Wearable Strain Sensor
- Authors
- Chae, Ari; Murali, G.; Lee, Seul-Yi; Gwak, Jeonghwan; Kim, Seon Joon; Jeong, Yong Jin; Kang, Hansol; Park, Seongmin; Lee, Albert S.; Koh, Dong-Yeun; In, Insik; Park, 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
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