Environment stable ionic organohydrogel as a self-powered integrated system for wearable electronics. Issue 30 (20th July 2021)

• Record Type: Journal Article
• Authors: Huang, Jianren; Gu, Jianfeng; Liu, Jiantao; Guo, Jinquan; Liu, Huiyong; Hou, Kun; Jiang, Xiancai; Yang, Xiaoxiang; Guan, Lunhui
• Is Part Of: Journal of materials chemistry. Volume 9:Issue 30(2021)
• Page Start: 16345
• Page End: 16358
• Publication Date: 2021-07-20
• Subjects: Materials -- Research -- Periodicals; Chemistry, Analytic -- Periodicals; Environmental sciences -- Research -- Periodicals; 543.0284
• DOI: 10.1039/d1ta03618a
• Languages: English
• ISSNs: 2050-7488

Abstract

Abstract : A rationally designed hydrogel either as the electrolyte for a supercapacitor or the sensing element for a functional component is proposed. With the help of machine learning, the systems present promising applications in wearable devices. Abstract : Intelligent flexible sensors that are comfortable to wear and have self-powered properties are primary candidates for next-generation wearable electronics. Nevertheless, most current flexible sensors cannot work independently, they have to rely on external power. Herein, we report a flexible sensing device that is able to reliably and stably monitor human motion with successive self-powering. The device consists of a supercapacitor as a power source and a strain sensor. An ionic hydrogel was used either as the electrolyte for the supercapacitor or as the functional element for the sensor. Thanks to the superior electromechanical and electrochemical properties of the hydrogel, when used as the electrolyte, the supercapacitor delivers over a wide voltage window (0–2.5 V), and exhibits superior energy density (81.46 mW h cm −2 ), and power density (2500 mW cm −2 ). The ionic hydrogel electrolyte also exhibits environmental durability and strain-resistance, demonstrating its reliability under deformation. Strain sensors based on such ionic organohydrogels operate over a wide working range (0–1000%), with high sensitivity (gauge factor = 6.04), and durability. Such a compact wearable sensing system presents potential applications in health monitoring by detecting motion precisely and rapidly. When machine learning is combined into a wearable sensing system, the intelligent device offers new prospects for tackling challenges in wearable electronics.