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Stretchable and self-healable catechol-chitosan-diatom hydrogel for triboelectric generator and self-powered tremor sensor targeting at Parkinson disease
Nano Energy ( IF 16.8 ) Pub Date : 2020-12-17 , DOI: 10.1016/j.nanoen.2020.105705
Jong-Nam Kim , Jeehee Lee , Haeshin Lee , Il-Kwon Oh

With increasing interest in human health, stretchable and wearable sensors have attracted a lot of attention for real-time health monitoring. However, most wearable sensors require external power sources, show structural failures under repeated mechanical strains and are not suitable for sensing low-frequency body motion. Herein, we report that a highly stretchable and self-healable hydrogel conductor was newly synthesized with all ocean biomaterials including catechol, chitosan and diatom. The catechol-chitosan-diatom hydrogel (CCDHG) conductor was exploited as stretchable triboelectric nanogenerators (TENG) for energy harvesting from human motion and skin-attachable self-powered tremor sensors for monitoring the health condition of Parkinson’s disease (PD) patients. The catechol-chitosan-diatom hydrogel triboelectric nanogenerator (CCDHG-TENG) showed open-circuit voltage of 110 V, short-circuit current of 3.8 μA, and instantaneous power density of 29.8 mW/m2. Furthermore, a self-powered tremor sensor, which was specially designed with an M-shaped Kapton film and the CCDHG-TENG, was applied to identify the health conditions of PD patients using a machine learning algorithm. This study provides a new strategy to design stretchable TENGs with all ocean bio-materials and this can be utilized for various applications, including stretchable power sources, wearable electronics and health monitoring systems with artificial intelligence.



中文翻译:

用于帕金森氏病的可摩擦,自修复的儿茶酚-壳聚糖-硅藻水凝胶,用于摩擦电发生器和自供电震颤传感器

随着人们对人体健康的兴趣日益提高,可伸缩和可穿戴式传感器已引起人们对实时健康监控的广泛关注。但是,大多数可穿戴传感器都需要外部电源,在反复的机械应变下会出现结构故障,因此不适合感测低频人体运动。在此,我们报道了一种高度可拉伸且自愈的水凝胶导体是与包括邻苯二酚,壳聚糖和硅藻在内的所有海洋生物材料新合成的。儿茶酚-壳聚糖-硅藻水凝胶(CCDHG)导体被用作可拉伸的摩擦电纳米发生器(TENG),用于从人体运动中收集能量,并使用皮肤可附着的自供电震颤传感器监测帕金森氏病(PD)患者的健康状况。2。此外,采用机器学习算法将由M型Kapton膜和CCDHG-TENG专门设计的自供电震颤传感器用于识别PD患者的健康状况。这项研究提供了一种使用所有海洋生物材料设计可拉伸TENG的新策略,并且可用于多种应用,包括可拉伸电源,可穿戴电子设备和带有人工智能的健康监测系统。

更新日期:2020-12-31
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