Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327543
Type: Artigo
Title: Biosorption Of Binary Heavy Metal Systems: Phenomenological Mathematical Modeling
Author: Ramos Suzaki
Pedro Yahico; Munaro
Mauricio Tombini; Triques
Carina Contini; Kleinubing
Sirlei Jaiana; Fagundes Klen
Marcia Regina; de Matos Jorge
Luiz Mario; Bergamasco
Rosangela
Abstract: A phenomenological mathematical modeling approach was applied in order to describe the biosorption of binary heavy metal systems. The mathematical modeling here proposed was verified with the biosorption of Cu(II)-Ni(II) systems onto residue of alginate extraction from Sargassum filipendula. Equilibrium studies were carried out in order to elucidate the competition between the ions in the process. The Cu (II) ions showed a higher affinity with the biosorbent, while the Ni(II) removal was highly dependent on the presence of Cu(II) ions (i.e., the Cu(II) ions inhibit the removal of Ni(II)). According to the Akaike criterion, the equilibrium experimental data was better described by the Langmuir-Freundlich model, which considers the competition among ions for the active sites. The phenomenological mathematical modeling of the kinetics of biosorption was based on binary equilibrium equations, material balances and possible limiting mass transfer steps instead of the empirical models usually applied. The model was then adjusted to the experimental kinetic data and validated by a simulation in a different condition. According to the model, the internal mass transfer resistance (intra-particle diffusion) is the limiting step that controls the kinetics of the process. Therefore, due to its high predictive capacity, the phenomenological approach described in this work can be applied as a tool for design and optimization of binary heavy metal adsorption systems. (C)2016 Elsevier B.V. All rights reserved.
Subject: Binary Biosorption
Alginate-extraction Residue
Heavy Metals
Phenomenological Modeling
Editor: Elsevier Science SA
Lausanne
Citation: Chemical Engineering Journal. Elsevier Science Sa, v. 313, p. 364 - 373, 2017.
Rights: fechado
Identifier DOI: 10.1016/j.cej.2016.12.082
Address: http://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S1385894716318538?via%3Dihub
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

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