4.7 Article

Adsorption of tetracycline from aqueous solutions onto multi-walled carbon nanotubes with different oxygen contents

期刊

SCIENTIFIC REPORTS
卷 4, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/srep05326

关键词

-

资金

  1. Scholarship Award for Excellent Doctoral Students - Ministry of Education
  2. Shanghai Institute of Technology Scientific Research Foundation for Introduced Talent, China [YJ2014-30]
  3. National Natural Science Foundation of China [21207100]
  4. State Key Laboratory of Pollution Control and Resource Reuse Foundation [PCRRY11009]
  5. Shanghai Leading Academic Discipline Project [J51503]
  6. Shu Guang Project [11SG54]
  7. Shanghai Talent Development Funding [201335]
  8. City Safety Engineering

向作者/读者索取更多资源

Oxidized multi-walled carbon nanotubes (MWCNTs) with different oxygen contents were investigated for the adsorption of tetracycline (TC) from aqueous solutions. As the surface oxygen content of the MWCNTs increased, the maximum adsorption capacity and adsorption coefficient of TC increased to the largest values and then decreased. The relation can be attributed to the interplay between the nanotubes' dispersibility and the water cluster formation upon TC adsorption. The overall adsorption kinetics of TC onto CNTs-3.2%O might be dependent on both intra-particle diffusion and boundary layer diffusion. The maximum adsorption capacity of TC on CNTs-3.2%O was achieved in the pH range of 3.3-8.0 due to formation of water clusters or H-bonds. Furthermore, the presence of Cu2+ could significantly enhanced TC adsorption at pH of 5.0. However, the solution ionic strength did not exhibit remarkable effect on TC adsorption. In addition, when pH is beyond the range (3.3-8.0), the electrostatic interactions caused the decrease of TC adsorption capacity. Our results indicate that surface properties and aqueous solution chemistry play important roles in TC adsorption on MWCNTs.

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

4.7
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