研究论文

生命不止,能量不息——植入式摩擦纳米发电机的研究与应用

  • 刘卓 ,
  • 王玲 ,
  • 李虎 ,
  • 邹洋 ,
  • 石波璟 ,
  • 欧阳涵 ,
  • 李舟
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  • 1. 北京航空航天大学生物与医学工程学院, 北京 100191;
    2. 中国科学院北京纳米能源与系统研究所, 国家纳米科学中心, 北京 100083
刘卓,硕士研究生,研究方向为纳米发电机封装技术及生物应用、细胞力学测量,电子信箱:liuzhuo@buaa.edu.cn

收稿日期: 2016-08-22

  修回日期: 2016-12-15

  网络出版日期: 2017-02-16

Research and application of implanted triboelectric nanogenerator

  • LIU Zhuo ,
  • WANG Ling ,
  • LI Hu ,
  • ZOU Yang ,
  • SHI Bojing ,
  • OUYANG Han ,
  • LI Zhou
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  • 1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China;
    2. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences;National Center for Nanoscience and Technology(NCNST), Beijing 100083, China

Received date: 2016-08-22

  Revised date: 2016-12-15

  Online published: 2017-02-16

摘要

2012年,研究人员提出了一种将机械能转化为电能的摩擦纳米发电机(TENG),该技术近年来得到了飞速发展,实现了对人体运动能、风能、声波能、海洋能等各种机械能的收集。其中植入式摩擦纳米发电机(iTENG)可将生物体内的心跳、呼吸肌运动等生物机械能转化为电能并驱动有源植入式医疗器件,可显著提高可植入式医疗器件的使用寿命,在未来植入式医疗行业中有着潜在的应用前景。本文综述了iTENG的结构、工作原理、输出性能及其在有源植入式医疗器件供能应用等方面的最新研究进展,并在此基础上进一步分析iTENG应用到临床治疗所面临的挑战。

本文引用格式

刘卓 , 王玲 , 李虎 , 邹洋 , 石波璟 , 欧阳涵 , 李舟 . 生命不止,能量不息——植入式摩擦纳米发电机的研究与应用[J]. 科技导报, 2017 , 35(2) : 65 -71 . DOI: 10.3981/j.issn.1000-7857.2017.02.009

Abstract

The triboelectric nanogenerator (TENG) developed in 2012 converts the mechanical energy into the electrical energy. The mechanical energy is used for human body motion, wind blow, sound vibration and ocean fluctuation. The implanted TENG (iTENG) can convert the biological mechanical motion into the electrical energy in vivo and power the implantable active medical devices. The biological mechanical motion includes the heartbeat and respiratory muscle movement. This technology can extend the service life of implanted electronic devices and has a wide potential applications in medical industry. This paper reviews the latest research progress in iTENG's structure, working principle, output performance and its applications in powering the implantable active medical devices. Additionally, a further analysis is made on the challenges of iTENG's applications in clinical treatment.

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