Prediction of binary adsorption isotherms of Cu2+, Cd2+ and Pb2+ on calcium alginate beads from single adsorption data

被引:164
|
作者
Papageorgiou, S. K. [1 ]
Katsaros, F. K. [1 ]
Kouvelos, E. P. [1 ]
Kanellopoulos, N. K. [1 ]
机构
[1] NCSR Demokritos, Inst Phys Chem, Aghia Paraskevi 15310, Greece
关键词
Biosorption; Multi-component adsorption; Adsorption models; Competitive adsorption; Prediction; HEAVY-METAL BIOSORPTION; LOW-COST BIOSORBENTS; LAMINARIA-DIGITATA; DIVALENT METALS; CA-ALGINATE; REMOVAL; SORPTION; SYSTEMS; COPPER; MODEL;
D O I
10.1016/j.jhazmat.2008.06.022
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The binary adsorption of Cu2+-Cd2+, Pb2+-Cd2+ and Pb2+-Cu2+ mixtures onto Ca-Alginate beads, prepared from Laminaria digitata, was studied using batch experiments. Competitive sorption models including extended Sips, extended Langmuir, Jain and Snoeyink modified Langmuir US modified) as well as Ideal Adsorpted Solution Theory (IAST) models were applied to predict the binary adsorption using single component adsorption parameters. The extended and the JS modified Langmuir approaches provide excellent prediction of the binary adsorption, while the extended Sips fails to predict the experimental data, giving only fair results in the case on Pb2+-Cu2+ Mixtures. On the contrary, the IAST models, though they are more complicated, provide less accurate estimation of sorption in binary metal ion solutions. In general, single component adsorption parameters can be effectively used for the prediction of a materials adsorption performance in binary metal ion solutions. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1347 / 1354
页数:8
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