State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, P. R. China.
College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, P. R. China.
ACS Nano. 2020 Mar 24;14(3):2788-2797. doi: 10.1021/acsnano.9b09802. Epub 2020 Feb 14.
Progress toward the integration of electronic sensors with a signal processing system is important for artificial intelligent and smart robotics. It demands mechanically robust, highly sensitive, and self-healable sensing materials which could generate discernible electric variations responding to external stimuli. Here, inspired by the supramolecular interactions of amino acid residues in proteins, we report a self-healable nanostructured TiCMXenes/rubber-based supramolecular elastomer (NMSE) for intelligent sensing. MXene nanoflakes modified with serine through an esterification reaction assemble with an elastomer matrix, constructing delicate dynamic supramolecular hydrogen bonding interfaces. NMSE features desirable recovered toughness (12.34 MJ/m) and excellent self-healing performance (∼100%) at room temperature. The NMSE-based sensor with high gauge factor (107.43), low strain detection limit (0.1%), and fast responding time (50 ms) can precisely detect subtle human motions (including speech, facial expression, pulse, and heartbeat) and moisture variations even after cut/healing processes. Moreover, NMSE-based sensors integrated with a complete signal process system show great feasibility for speech-controlled motions, which demonstrates promising potential in future wearable electronics and soft intelligent robotics.
在人工智能和智能机器人领域，将电子传感器与信号处理系统集成的进展非常重要。这需要机械强度高、灵敏度高且可自修复的传感材料，这些材料可以对外界刺激产生可识别的电变化。在这里，受蛋白质中氨基酸残基的超分子相互作用的启发，我们报告了一种基于 TiCMXenes/橡胶的自修复纳米结构超分子弹性体（NMSE）用于智能传感。通过酯化反应用丝氨酸修饰的 MXene 纳米片与弹性体基质组装，构建了精细的动态超分子氢键界面。NMSE 在室温下具有理想的恢复韧性（12.34 MJ/m）和出色的自修复性能（约 100%）。基于 NMSE 的传感器具有高应变系数（107.43）、低应变检测限（0.1%）和快速响应时间（50 ms），可精确检测细微的人体运动（包括语音、面部表情、脉搏和心跳）和湿度变化，即使在切割/修复过程后也是如此。此外，集成完整信号处理系统的 NMSE 基传感器在语音控制运动方面表现出很大的可行性，这表明其在未来的可穿戴电子设备和软智能机器人领域具有广阔的应用前景。
