4.5 Article

Sensitive conductive polymer composites based on polylactic acid filled with multiwalled carbon nanotubes for chemical vapor sensing

期刊

SYNTHETIC METALS
卷 215, 期 -, 页码 216-222

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.synthmet.2016.02.023

关键词

Polymer based composites; Thin films; Electrical properties; Vapor sensitivities; Gas sensors

资金

  1. National natural Science Foundation of China (NSFC) [21273142, 21172138]
  2. Natural Science Foundation of Shaanxi Province
  3. Fundamental Research Funds for the Central Universities [GK201601003]

向作者/读者索取更多资源

The sensitive conductive polymer composites, (SCPCs) have been attracting a great deal of research interest because of their unique response to external environmental stimuli. In this study, multiwalled carbon nanotubes/polylactic acid (MWCNTs/PLA) conductive composites were prepared by a physically blending method and fabricated into thin films. The dispersion behavior and morphological structure of the composites were characterized and confirmed by FTIR, SEM, TEM and UV-vis measurements. The influence of the mass fraction of MWCNTs and the molecular weight (MW) of PLA on conducting properties was investigated. The responses of the films against various organic vapors (polar and non-polar solvents) were measured by monitoring the change in resistance when exposed to the organic vapors. The experimental results revealed that the MWCNTs/PLA conductive composites had good film forming properties, which showed a strong and selective response to polar chloroform vapor, with a low percolation threshold of about 2.9 wt%. The response intensities were enhanced with increasing the MW of PLA and decreasing the mass fraction of MWCNTs. The composite films exhibited fast response and favorable reversibility, reproducibility and stability, especially a detection limit as low as 50 ppm. Thus they could be used as gas sensors to detect the organic vapors in atmospheric environments. (C) 2016 Elsevier B.V. All rights reserved.

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

4.5
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