Evaluation of adsorption potential of bamboo biochar for metal-complex dye: equilibrium, kinetics and artificial neural network modeling

文献类型： 外文期刊

第一作者： Yang, Y.

作者： Yang, Y.;Wang, J.;Yang, Y.;Zhao, Y.;Lin, X.;Wei, B.

作者机构：

关键词： Bamboo biochar;Metal-complex dye;Artificial neural network;Adsorption equilibrium;Ionic strength

期刊名称：INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY （ 影响因子：2.86； 五年影响因子：3.083 ）

ISSN： 1735-1472

年卷期： 2014 年 11 卷 4 期

页码：

收录情况： SCI

摘要： Metal-complex dyes are widely used in textile industry, but harmful to the environment and human health due to aromatic structure and heavy metal ions. The objective of this work was to evaluate the adsorption potential of bamboo biochar for the removal of metal-complex dye acid black 172 from solutions. Freundlich model was more suitable for the adsorption process of bamboo biochar than Langmuir isotherm, indicating multilayer adsorption of acid black 172 on a heterogeneous bamboo biochar surface. Adsorption kinetics analysis of pseudo-second-order and Weber-Morris models revealed that intraparticle transport was not the only rate-limiting step. The bamboo biochar exhibited a good adsorption performance even at high ionic strength. Analysis based on the artificial neural network indicated that the temperature with a relative importance of 29 % appeared to be the most influential parameter in the adsorption process for dye removal, followed by time, ionic strength, pH and dye concentration.

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