Journal article
Muscle Fatigue Sensor Based on Ti3C2Tx MXene Hydrogel
Small methods, v 5(12), 2100819
01 Dec 2021
PMID: 34928032
Abstract
MXene-based hydrogels have received significant attention due to several promising properties that distinguish them from conventional hydrogels. In this study, it is shown that both strain and pH level can be exploited to tune the electronic and ionic transport in MXene-based hydrogel (M-hydrogel), which consists of MXene (Ti3C2Tx)-polyacrylic acid/polyvinyl alcohol hydrogel. In particular, the strain applied to the M-hydrogel changes MXene sheet orientation which leads to modulation of ionic transport within the M-hydrogel, due to strain-induced orientation of the surface charge-guided ionic pathway. Simultaneously, the reorientation of MXene sheets under the axial strain increases the electronic resistance of the M-hydrogel due to the loss of the percolative network of conductive MXene sheets during the stretching process. The iontronic characteristics of the M-hydrogel can thus be tuned by strain and pH, which allows using the M-hydrogel as a muscle fatigue sensor during exercise. A fully functional M-hydrogel is developed for real-time measurement of muscle fatigue during exercise and coupled it to a smartphone to provide a portable or wearable digital readout. This concept can be extended to other fields that require accurate analysis of constantly changing physical and chemical conditions, such as physiological changes in the human body.
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Details
- Title
- Muscle Fatigue Sensor Based on Ti3C2Tx MXene Hydrogel
- Creators
- Kang Hyuck Lee - King Abdullah University of Science and TechnologyYi-Zhou Zhang - King Abdullah Univ Sci & Technol KAUST, Phys Sci & Engn Div, Thuwal 239556900, Saudi ArabiaHyunho Kim - King Abdullah University of Science and TechnologyYongjiu Lei - King Abdullah University of Science and TechnologySeunghyun Hong - King Abdullah Univ Sci & Technol KAUST, Phys Sci & Engn Div, Thuwal 239556900, Saudi ArabiaShofarul Wustoni - King Abdullah University of Science and TechnologyAdel Hama - King Abdullah University of Science and TechnologySahika Inal - King Abdullah University of Science and TechnologyHusam N. Alshareef - King Abdullah University of Science and Technology
- Publication Details
- Small methods, v 5(12), 2100819
- Publisher
- Wiley
- Number of pages
- 8
- Grant note
- King Abdullah University of Science and Technology (KAUST); King Abdullah University of Science & Technology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering
- Web of Science ID
- WOS:000710890100001
- Scopus ID
- 2-s2.0-85118192240
- Other Identifier
- 991022059817304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Nanoscience & Nanotechnology