4.7 Article

Functionalized Activated Carbon Derived from Palm Kernel Shells for the Treatment of Simulated Heavy Metal-Contaminated Water

期刊

NANOMATERIALS
卷 11, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/nano11113133

关键词

heavy metals; activated carbon; metal adsorption; water contamination; and water purification

资金

  1. Universiti Putra Malaysia
  2. Ministry of Higher Education of Malaysia

向作者/读者索取更多资源

Functionalized activated carbon (FAC) was prepared by introducing nitro groups onto activated carbon for the treatment of heavy metal-contaminated water. FAC showed maximum adsorption capacity for heavy metal ions like Cr6+, Pb2+, Zn2+, and Cd2+ under optimized adsorption parameters, following a pseudo-second-order kinetic model. Adsorption isotherm models like Freundlich and Langmuir were used to determine the best fitting models for each metal ion.
Heavy metal contamination in water poses a great risk to human health as well as to the lives of other creatures. Activated carbon is a useful material to be applied for the treatment of heavy metal-contaminated water. In this study, functionalized activated carbon (FAC) was produced by the induction of nitro groups onto activated carbon using nitric acid. The resulting material was characterized in detail using the XRD, Raman, BET, FTIR, and FESEM techniques. The FAC was used for the treatment of heavy metal-contaminated water using different adsorption parameters, i.e., solution pH, contact time, adsorbent dosage and heavy metal ion concentrations, and these parameters were systematically optimized. It was found that FAC requires 90 min for the maximum adsorption of the heavy metal ions; Cr6+, Pb2+, Zn2+ and Cd2+. The kinetic study revealed that the metal ion adsorption follows the pseudo-second-order. The Freundlich and Langmuir isotherms were applied to determine the best fitting adsorption isotherm models. The adsorption capacities were also determined for each metal ion.

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