| Brazilian Journal of Chemical Engineering | |
| Biosorption study of Ni2+ and Cr3+ by Sargassum filipendula: kinetics and equilibrium | |
| A. A. Seolatto2  T. D. Martins1  R. Bergamasco1  C. R. G. Tavares1  E. S. Cossich1  E. A. Da Silva1  | |
| [1] ,Federal University of Goiás - UFG School of Chemistry Goiânia GO ,Brazil | |
| 关键词: Algal biomass; Mathematical modeling; Neural networks; Single solution; Binary solution; | |
| DOI : 10.1590/S0104-66322014000100020 | |
| 来源: SciELO | |
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【 摘 要 】
In this work, the biosorption of Cr3+ and Ni2+ by Sargassum filipendula pre-treated with CaCl2 was studied. Kinetic and equilibrium experiments were carried out for mono- and multi-component solutions in a batch reactor at pH 3.0 and 30 ºC. The results from the kinetic experiments showed that Cr3+ adsorbs slower than Ni2+. This behavior was explained by means of a mechanistic analysis, which showed that Cr3+ uptake presented three adsorption stages, whereas Ni2+ adsorption presents only two. The mono-component equilibrium data, along with binary kinetic data obtained from mono-component experiments, showed that, although the kinetics for Cr3+ removal are slower, the biomass had a stronger affinity for this ion. Almost all Ni2+ is desorbed from the biomass as Cr3+ adsorbs. The binary equilibrium data also presented this behavior. The binary data was also modeled by using modified forms of the Langmuir, Jain and Snoeyink, and Langmuir-Freundlich isotherms. However, the prediction obtained presented low accuracy. An alternative modeling with artificial neural networks was presented and the results showed that this technique could be a promising tool to represent binary equilibrium data. The main contribution of this work was to obtain experimental data for Cr3+/Ni2+ adsorption, which is a system rarely found in the literature and that provides information that could be used in process modeling and simulation.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
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| Files | Size | Format | View |
|---|---|---|---|
| RO202005130129214ZK.pdf | 1271KB |
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