Air-Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring.
Air-Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring.
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用于自供电实时呼吸监测的气流驱动摩擦纳米发电机
DOI：
10.1021/acsnano.8b02562
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发表时间：
2018-06-26
期刊：
影响因子：
17.1
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Wang M;Zhang J;Tang Y;Li J;Zhang B;Liang E;Mao Y;Wang X
呼吸是人体最重要的生命体征之一，呼吸监测在身体健康管理中起着重要作用。一种低成本且方便的实时呼吸监测系统是极其期望的。在这项工作中，我们展示了一种气流驱动的摩擦电纳米发电机（TENG），通过将人类呼吸的机械能转换为电输出信号，用于自供电的实时呼吸监测。TENG的操作是基于在丙烯酸管中的柔性纳米结构聚四氟乙烯（n-PTFE）薄膜的气流驱动振动。当暴露于来自不同呼吸行为的气流时，该TENG可以产生不同的实时电信号。还发现，在呼吸感测中转移的累积电荷很好地对应于呼吸过程期间交换的空气的总体积。基于该TENG设备，进一步开发了智能无线呼吸监测和警报系统，该系统使用TENG信号直接触发无线警报或拨打手机，以响应呼吸行为变化提供及时警报。这项研究为开发自供电实时呼吸监测设备提供了一个有前途的解决方案。
Respiration is one of the most important vital signs of humans, and respiratory monitoring plays an important role in physical health management. A low-cost and convenient real-time respiratory monitoring system is extremely desirable. In this work, we demonstrated an air-flow-driven triboelectric nanogenerator (TENG) for self-powered real-time respiratory monitoring by converting mechanical energy of human respiration into electric output signals. The operation of the TENG was based on the air-flow-driven vibration of a flexible nanostructured polytetrafluoroethylene (n-PTFE) thin film in an acrylic tube. This TENG can generate distinct real-time electric signals when exposed to the air flow from different breath behaviors. It was also found that the accumulative charge transferred in breath sensing corresponds well to the total volume of air exchanged during the respiration process. Based on this TENG device, an intelligent wireless respiratory monitoring and alert system was further developed, which used the TENG signal to directly trigger a wireless alarm or dial a cell phone to provide timely alerts in response to breath behavior changes. This research offers a promising solution for developing self-powered real-time respiratory monitoring devices.
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影响因子：
19
作者：
Tricoli, Antonio;Nasiri, Noushin;De, Sayan
通讯作者：
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作者：
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影响因子：
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作者：
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DOI：
10.1002/advs.201700029
发表时间：
2017-07
期刊：
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
影响因子：
--
作者：
Zheng Q;Shi B;Li Z;Wang ZL
通讯作者：
Wang ZL