4.6 Article

Mixed surfactant system for stable suspension of multiwalled carbon nanotubes

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.colsurfa.2010.01.030

关键词

Multiwalled carbon nanotubes; Non-covalent; Mixed surfactant system; Dispersion stability

资金

  1. Higher Education Commission (HEC), Govt. Of Pakistan
  2. Ministry of Commerce, Industry and Energy, Republic of Korea
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [K0001347] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. National Research Foundation of Korea [과C6A2605] 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 dispersion stability of carbon nanotubes in water and organic solvents is a challenging task for their utilization in nanoscale devices. Multiwalled carbon nanotubes (MWNTs) have been tested with different chemical functionalities of the side groups for their dissolution in organic solvents. Herein, we investigated the dispersive effects achieved by surface-active agents on MWNTs. Dodecyl trimethylammonium bromide (DTAB) and sodium octanoate (SOCT) were found to form exceptionally stable MWNT dispersions. In this study, a novel method was developed to prepare highly dispersed MWNTs using the mixtures of cationic surfactant DTAB and anionic surfactant SOCT. Stable dispersions were obtained at low total surfactant concentration as compared to their concentration when used alone. Zeta potential was confirmed to understand the surface charge-related stability of the nanotubes solutions. The dispersion of MWNTs has been characterized by scanning electron microscopy (SEM). Raman spectroscopy and transmission electron microscopy (TEM) showed non-covalent interaction of MWNTs and surfactants. (C) 2010 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

4.6
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