Ionic skin (I-Skin) has the advantage of feasible compatibility with biological systems. Nevertheless, developing a stable and durable ionic skin is challenging. Here, an ionic polyurethane (i-PU) is synthesized, which is capable of self-healing and able to lock the ionic liquids (ILs). In detail, an ionic chain extender containing an ammonium cationic group is synthesized, followed by the polymerization to obtain the target i-PU. Through electrostatic interaction and chain diffusion, the i-PU can be fully self-healed at room temperature within 400 min. Afterward, low contact angle (37°) of the i-PU against IL and the density functional theory (DFT) calculation prove their good compatibility and strong interaction, originating from the electrostatic interaction. The Raman intensity map shows the reversible process of the enrichment and restoration of ionic concentration on the i-PU/IL surface when external pressure is applied or released, proving stable binding of ions by ionic polymer chains. Lastly, the self-healing I-Skin based on the i-PU/IL is fabricated with a wide range of pressures (0–120 kPa), fast response time (32 ms), excellent antifatigue property (2% attenuation after 1000 cycles), and remarkable sensitivity (52.4 kPa –1 ).
Chao Chen,Zhe Yu,Ying Tian,Fenglong Li,Zhengyang Kong,Xu Ran,Xing Wu,Kyung Jin Lee,Do Hwan Kim,Jung-Yong Lee,Jin Zhu,Wu Bin Ying
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.
危险品化学品经营许可证（带存储）