Investigating the Electrochemical Performance of Smart Self-Powered Bionic Skin Fragment Based on Bioelectricity Generation

Abstract

Human skin, with beneficial elasticity and reparability, could sense the changes of the external environment through different receptors. Imitating these mechanical properties and perception of bionic skin with power supply function is an enormous challenge in the field of Internet of things and artificial intelligence. Herein, the neural signal transmission of human skin is imitated to create a smart self-powered bionic skin fragment integrating skin and power supply functions. Unlike the traditional bionic skin in essence, it can intelligently perceive the outside world by using anion-selective and cation-selective gels to control exchangeable anions and cations to realize the change of resting current and action current, and it can maintain the relatively stable self-powered current of 0.5 µA for nearly 2.2 h. Moreover, its mechanisms of current and voltage changes are systematically investigated. These results reveal that it can be applied to the synchronous transmission of signals for the next-generation neurologically integrated soft engineering systems such as bionic sensors, or prosthetic devices in hybrids of living and nonliving systems.