Human-tissue-inspired anti-fatigue-fracture hydrogel for a sensitive wide-range human–machine interface
| Autor: | Yulin Zhang, Gehong Su, Jie Cao, Tao Zhou, Shuya Yin, Xueqian Zhang, Junhua Zhang, Xinxing Zhang, Quanquan Guo, Liyang Jia |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Renewable Energy Sustainability and the Environment technology industry and agriculture Nanotechnology macromolecular substances 02 engineering and technology General Chemistry Strain sensor 010402 general chemistry 021001 nanoscience & nanotechnology complex mixtures 01 natural sciences Flexible electronics 0104 chemical sciences Self-healing hydrogels Fracture (geology) Human–machine interface General Materials Science 0210 nano-technology |
| Zdroj: | Journal of Materials Chemistry A. 8:2074-2082 |
| ISSN: | 2050-7496 2050-7488 |
| DOI: | 10.1039/c9ta08111a |
| Popis: | The emerging applications of hydrogels in flexible electronics require hydrogels to possess excellent anti-fatigue fracture and self-healing properties; this remains an important unmet scientific challenge. Herein, inspired by human tissues, an effective and simple strategy is proposed to prepare a multifunctional hydrogel that shows ultra-stretchable (>2900%), anti-fatigue-fracture, and self-healable properties. Moreover, the hydrogel exhibits high sensitivity in a wide strain window when used as a strain sensor. More importantly, benefiting from the self-healing and anti-fatigue-fracture properties, the sensing properties of the hydrogel are fully restored after a cutting-and-healing process and it keeps working for a very long time (>20 000 cycles) even after being severely damaged. This hydrogel shows great potential for future artificial intelligence and human–machine interface applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|