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具有改性多壁碳纳米管/聚合物复合材料的高稳定和灵活的压力传感器，用于人体监测。

Highly Stable and Flexible Pressure Sensors with Modified Multi-Walled Carbon Nanotube/Polymer Composites for Human Monitoring.

机构信息

School of Textiles, Tianjin Polytechnic University, Tianjin 300387, China.

School of Fashion and Art, Tianjin Polytechnic University, Tianjin 300387, China.

出版信息

Sensors (Basel). 2018 Apr 26;18(5):1338. doi: 10.3390/s18051338.

DOI:10.3390/s18051338
PMID:29701643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5982526/
Abstract

A facile method for preparing an easy processing, repeatable and flexible pressure sensor was presented via the synthesis of modified multi-walled carbon nanotubes (m-MWNTs) and polyurethane (PU) films. The surface modification of multi-walled carbon nanotubes (MWNTs) simultaneously used a silane coupling agent (KH550) and sodium dodecyl benzene sulfonate (SDBS) to improve the dispersibility and compatibility of the MWNTs in a polymer matrix. The electrical property and piezoresistive behavior of the m-MWNT/PU composites were compared with raw multi-walled carbon nanotube (raw MWNT)/PU composites. Under linear uniaxial pressure, the m-MWNT/PU composite exhibited 4.282%kPa sensitivity within the pressure of 1 kPa. The nonlinear error, hysteresis error and repeatability error of the piezoresistivity of m-MWNT/PU decreased 9%, 16.72% and 54.95% relative to raw MWNT/PU respectively. Therefore, the piezoresistive response of m-MWNT/PU had better stability than that of raw MWNT/PU composites. The m-MWNT/PU sensors could be utilized in wearable devices for body movement detection, monitoring of respiration and pressure detection in garments.

摘要

提出了一种通过合成改性多壁碳纳米管（m-MWNTs）和聚氨酯（PU）薄膜来制备易于加工、可重复且灵活的压力传感器的简便方法。多壁碳纳米管（MWNTs）的表面同时改性使用硅烷偶联剂（KH550）和十二烷基苯磺酸钠（SDBS），以提高 MWNTs 在聚合物基体中的分散性和相容性。比较了 m-MWNT/PU 复合材料的电性能和压阻性能与原始多壁碳纳米管（raw MWNT）/PU 复合材料。在线性单轴压力下，m-MWNT/PU 复合材料在 1 kPa 的压力下表现出 4.282%kPa 的灵敏度。与 raw MWNT/PU 相比，m-MWNT/PU 的压阻非线性误差、滞后误差和重复性误差分别降低了 9%、16.72%和 54.95%。因此，m-MWNT/PU 的压阻响应比 raw MWNT/PU 复合材料更稳定。m-MWNT/PU 传感器可用于可穿戴设备，用于检测身体运动、呼吸监测和服装压力检测。

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