Transmembrane Inspired Mechano‐Responsive Elastomers with Synergized Traction‐Assisted Healing and Dual‐Channel Sensing
Chao Chen, Zhe Yu, Ying Tian, Fenglong Li, Zhengyang Kong, Ran Xu, Xing Wu, Kyung Jin Lee, Do Hwan Kim, Jung‐Yong Lee, Jin Zhu, Wu Bin Ying
Abstract
Abstract In the burgeoning field of bioinspired materials, the principles governing biological perception and self‐healing drive advancements in biomimetic mechano‐responsive materials, seamlessly integrating ionic signal sensing with self‐healing. While current research often emphasizes individual functionalities, the concurrent enhancement of both self‐healing and sensitivity in iontronic skins is often overlooked. Drawing inspiration from transmembrane proteins like TSP‐15, Piezo 1 and Piezo 2, renowned for recruiting repair factors, multifunctional molecular‐ionic regulatory sites are constructed within a polyurethane/ionic liquid composite system, leading to the development of a mechano‐responsive elastomer (i‐DAPU) that exhibited both rapid self‐healing (72 µm min −1 ) and impressive sensitivity (7012.05 kPa −1 ). Leveraging the dual functionalities of i‐DAPU in tandem with deep learning algorithms, a sophisticated system is devised for intelligently analyzing neural conditions in comatose patients based on muscle strength, achieving a remarkable 99.2% accuracy rate, holding significant promise for healthcare applications.