4.8 Article

Three-Dimensional Continuous Conductive Nanostructure for Highly Sensitive and Stretchable Strain Sensor

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 9, 期 20, 页码 17370-17379

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.7b03052

关键词

3D nanopatterning; strain sensor; stretchable electrode; carbon nanotube; 3D nanostructure

资金

  1. Global Frontier Program through a National Research Foundation of Korea (NRF) grant - Ministry of Science, ICT & Future Planning [2014M3A6B3063709]
  2. BK21 Plus through a National Research Foundation of Korea (NRF) grant - Ministry of Science, ICT & Future Planning [21A20131912234]
  3. National Research Foundation of Korea (NRF) grant - Korean government (MSIP) [2016R1E1A1A01943131]
  4. National Research Foundation of Korea [21A20131912234, 2016R1E1A1A01943131] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The demand for wearable strain gauges that can detect dynamic human motions is growing in the area of healthcare technology. However, the realization of efficient sensing materials for effective detection of human motions in daily life is technically challenging due to the absence of the optimally designed electrode. Here, we propose a novel concept for overcoming the intrinsic limits of conventional strain sensors based on planar electrodes by developing highly periodic and three-dimensional (3D) bicontinuous nanoporous electrodes. We create a 3D bicontinuous nanoporous electrode by constructing conductive percolation networks along the surface of porous 3D nanostructured poly(dimethylsiloxane) with single-walled carbon nanotubes. The 3D structural platform allows fabrication of a strain sensor with robust properties such as a gauge factor of up to 134 at a tensile strain of 40%, a widened detection range of up to 160%, and a cyclic property of over 1000 cycles. Collectively, this study provides new design opportunities for a highly efficient sensing system that finely captures human motions, including phonations and joint movements.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据