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 2024-01-19T09:32:15Z 2024-01-19T09:32:15Z 2023-03-23 2023-06 1616-301X https://pubs.kist.re.kr/handle/201004/113719 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. English John Wiley & Sons Ltd. Highly Oxidation-Resistant and Self-Healable MXene-Based Hydrogels for Wearable Strain Sensor Article 10.1002/adfm.202213382 1 Advanced Functional Materials, v.33, no.24 Advanced Functional Materials 33 24 N scie scopus 000941940000001 2-s2.0-85149393653 Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Physics, Applied Physics, Condensed Matter Chemistry Science & Technology - Other Topics Materials Science Physics Article SURFACE FUNCTIONALIZATION NANOSHEETS COMPOSITE deep learning hydrogels MXenes oxidation poly(vinyl alcohol) sensors