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All VN-graphene architecture derived self-powered wearable sensors for ultrasensitive health monitoring
Nano Research ( IF 9.9 ) Pub Date : 2018-10-17 , DOI: 10.1007/s12274-018-2219-1
Lianghao Yu , Yuyang Yi , Ting Yao , Yingze Song , Yiran Chen , Qiucheng Li , Zhou Xia , Nan Wei , Zhengnan Tian , Baoqing Nie , Li Zhang , Zhongfan Liu , Jingyu Sun

The booming of wearable electronics has nourished the progress on developing multifunctional energy storage systems with versatile flexibility, which enable the continuous and steady power supply even under various deformed states. In this sense, the synergy of flexible energy and electronic devices to construct integrative wearable microsystems is meaningful but remains quite challenging by far. Herein, we devise an innovative supercapacitor/sensor integrative wearable device that is based upon our designed vanadium nitride-graphene (VN-G) architectures. Flexible quasi-solid-state VN-G supercapacitor with ultralight and binder-free features deliver a specific capacitance of ~ 53 F·g−1 with good cycle stability. On the other hand, VN-G derived pressure sensors fabricated throughout a spray-printing process also manifest favorably high sensitivity (40 kPa−1 at the range of 2–10 kPa), fast response time (~ 130 ms), perfect skin conformability, and outstanding stability under static and dynamic pressure conditions. In turn, their complementary unity into a self-powered wearable sensor enables the precise detection of physiological motions ranging from pulse rate to phonetic recognition, holding promise for in-practical health monitoring applications.
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中文翻译:

所有VN-石墨烯架构衍生的自供电可穿戴式传感器,用于超灵敏的健康监测

穿戴式电子产品的蓬勃发展为开发具有多功能灵活性的多功能储能系统提供了发展动力,即使在各种变形状态下也可以实现连续,稳定的电源供应。从这个意义上讲,柔性能量和电子设备在构建集成可穿戴微系统方面的协同作用是有意义的,但到目前为止仍然具有很大的挑战性。在此,我们设计了一种创新的超级电容器/传感器集成可穿戴设备,该设备基于我们设计的氮化钒-石墨烯(VN-G)体系结构。具有超轻无粘合剂功能的柔性准固态VN-G超级电容器可提供〜53 F·g -1的比电容具有良好的循环稳定性。另一方面,在喷涂过程中制造的源自VN-G的压力传感器也表现出良好的灵敏度(在2–10 kPa范围内为40 kPa -1),快速的响应时间(〜130 ms),完美的皮肤贴合性,在静态和动态压力条件下均具有出色的稳定性。反过来,它们的互补性成为一个自供电的可穿戴式传感器,可以精确检测从脉搏频率到语音识别的生理运动,为在实践中进行健康监测应用提供了希望。
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更新日期:2018-10-17
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