Qiancheng Ma
(, ), Zhaofa Zhang
(, ), Lin Li
(, ), Dongyang Zhang
(, ), Wei Tian
(, )
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The supercapacitors exhibit a high specific capacitance of 1.82 F cm<sup>−3</sup>, 92.57% capacity retention after 5000 cycles, and stable performance under static and dynamic strain conditions. Additionally, the integrated SPWSs demonstrated the accuracy and sensitivity in discriminating bending magnitudes. The SPWSs further present the accuracy and stability in recognizing human physiological activities (joint motions of finger, wrist, knee, and elbow, respiration, and handwriting). The proposed strategy offers a practical approach to developing energy storage systems with customizable functionality. 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引用次数: 0
摘要
超级电容器和可穿戴设备的快速发展使集成自供电可穿戴设备的构建成为可能。然而,目前的研究大多集中在提高超级电容器的容量和传感器的灵敏度上,忽视了单个器件的自供电和集成。在这项研究中,基于一根纱线构建了可编辑的柔性纱线超级电容器(FYSC)和集成自供电可穿戴传感器(SPWS)。通过控制电极还原度、电极间距和集成度,FYSC表现出可调节的电容行为。该超级电容器具有1.82 F cm−3的高比电容,5000次循环后的容量保持率为92.57%,在静态和动态应变条件下性能稳定。此外,集成的SPWSs在识别弯曲幅度方面具有准确性和灵敏度。SPWSs进一步展示了识别人类生理活动(手指、手腕、膝盖和肘关节运动、呼吸和手写)的准确性和稳定性。所提出的策略为开发具有可定制功能的储能系统提供了一种实用的方法。更重要的是,自供电器件实现了超级电容器和传感器的集成,将有助于将1D功能纱线无缝集成到可穿戴电子产品中。
An editable yarn-based flexible supercapacitor and integrated self-powered sensor
The rapid development of supercapacitors and wearable devices has allowed the construction of integrated self-powered wearable devices. However, most current research focuses on increasing supercapacitor capacity and the sensitivity of sensors, overlooking the self-powered and integration of one single device. In this study, the editable, flexible yarn-based supercapacitor (FYSC) and an integrated self-powered wearable sensor (SPWS) were constructed based on one yarn. The FYSC demonstrated adjustable capacitive behaviors by controlling the electrode reduction degree, electrode spaces, and integration. The supercapacitors exhibit a high specific capacitance of 1.82 F cm−3, 92.57% capacity retention after 5000 cycles, and stable performance under static and dynamic strain conditions. Additionally, the integrated SPWSs demonstrated the accuracy and sensitivity in discriminating bending magnitudes. The SPWSs further present the accuracy and stability in recognizing human physiological activities (joint motions of finger, wrist, knee, and elbow, respiration, and handwriting). The proposed strategy offers a practical approach to developing energy storage systems with customizable functionality. More importantly, the self-powered devices realized the integration of supercapacitors and sensors would facilitate the seamless integration of 1D functional yarns into wearable electronics.
期刊介绍:
Science China Materials (SCM) is a globally peer-reviewed journal that covers all facets of materials science. It is supervised by the Chinese Academy of Sciences and co-sponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China. The journal is jointly published monthly in both printed and electronic forms by Science China Press and Springer. The aim of SCM is to encourage communication of high-quality, innovative research results at the cutting-edge interface of materials science with chemistry, physics, biology, and engineering. It focuses on breakthroughs from around the world and aims to become a world-leading academic journal for materials science.