Yang Jie, Cheng Jianli, Qi Guicai, Wang Bin
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China.
Institute of Chemical Materials, China Academy of Engineering Physics, Chengdu 621900, China.
ACS Appl Mater Interfaces. 2023 Apr 5;15(13):17163-17174. doi: 10.1021/acsami.2c23230. Epub 2023 Mar 21.
The ability of a flexible strain sensor to directly adapt the complicated human biological motion or combined gestures and remotely control the artificial intelligence robotics could benefit the wearable electronics such as intelligent robotics and patient healthcare. However, it is a challenge for the flexible strain sensor to simultaneously achieve high sensing performances and stretchability and long sustainability under various deformation stress or damage. Herein, a dual-cross-linked poly(acrylic acid-stearyl methacrylate)/MXene [P(AA-SMA)M] hydrogel with enhanced mechanical stretchability and self-healability is fabricated by importing reversible coordination and hydrophobic interaction into polymer networks. As a result, the hydrogel film not only exhibits high tensile strength (525 kPa) and stretchability (∼2600%) but also achieves repetitive healable property with 843% elongation even after the 20th broken/self-healing cycle. More importantly, the resultant strain sensor delivers a low detection limit, wide sensing range, fast response time, and repeatability of 1000 cycles even after repeated self-healing. So, the sensor can monitor subtle human motions and recognize different handwriting and gestures, which reveals potential applications toward health-care devices, flexible electronics, and human-machine interfacing.
柔性应变传感器直接适应复杂人体生物运动或组合手势并远程控制人工智能机器人的能力，可使智能机器人和患者医疗保健等可穿戴电子产品受益。然而，对于柔性应变传感器而言，要在各种变形应力或损伤下同时实现高传感性能、拉伸性和长期可持续性是一项挑战。在此，通过将可逆配位和疏水相互作用引入聚合物网络，制备了一种具有增强机械拉伸性和自愈合性的双交联聚（丙烯酸-硬脂基甲基丙烯酸酯）/MXene [P(AA-SMA)M] 水凝胶。结果，水凝胶薄膜不仅表现出高拉伸强度（525 kPa）和拉伸性（约2600%），而且即使在第20次断裂/自愈合循环后仍具有843%伸长率的重复可愈合性能。更重要的是，所得应变传感器具有低检测限、宽传感范围、快速响应时间，并且即使经过反复自愈合后仍具有1000次循环的重复性。因此，该传感器可以监测细微的人体运动并识别不同的笔迹和手势，这揭示了其在医疗保健设备、柔性电子产品和人机接口方面的潜在应用。
