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Highly Oxidation-Resistant and Self-Healable MXene-Based Hydrogels for Wearable Strain Sensor
Authors:Ari Chae  G. Murali  Seul-Yi Lee  Jeonghwan Gwak  Seon Joon Kim  Yong Jin Jeong  Hansol Kang  Seongmin Park  Albert S. Lee  Dong-Yeun Koh  Insik In  Soo-Jin Park
Affiliation:1. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141 Republic of Korea

Convergence Research Center for Solutions to Electromagnetic Interference in Future-mobility, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul, 02792 Republic of Korea;2. Department of IT-Energy Convergence (BK21 Four), Korea National University of Transportation, Chungju, 27469 Republic of Korea

Department of Polymer Science and Engineering, Chemical Industry Institute, Korea National University of Transportation, Chungju, 27469 Republic of Korea;3. Department of Chemistry, Inha University, Incheon, 22212 Republic of Korea;4. Department of IT-Energy Convergence (BK21 Four), Korea National University of Transportation, Chungju, 27469 Republic of Korea

Department of Software, Department of Biomedical Engineering,and Department of AI Robotics Engineering, Korea National University of Transportation, Chungju, 27469 Republic of Korea;5. Convergence Research Center for Solutions to Electromagnetic Interference in Future-mobility, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul, 02792 Republic of Korea

Materials Architecture Research Center, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea;6. Department of IT-Energy Convergence (BK21 Four), Korea National University of Transportation, Chungju, 27469 Republic of Korea

Department of Materials Science and Engineering, Korea National University of Transportation, Chungju, 27469 Republic of Korea;7. Convergence Research Center for Solutions to Electromagnetic Interference in Future-mobility, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul, 02792 Republic of Korea;8. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141 Republic of Korea;9. Department of IT-Energy Convergence (BK21 Four), Korea National University of Transportation, Chungju, 27469 Republic of Korea

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:deep learning  hydrogels  MXenes  oxidation  poly(vinyl alcohol)  sensors
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