• D.I. Mendoza-Castillo Instituto Tecnológico de Aguascalientes
  • A. Bonilla-Petriciolet Instituto Tecnológico de Aguascalientes
  • J. Jauregui-Rincon Universidad Autónoma de Aguascalientes
Keywords: bone char, sorption, heavy metals, water treatment


In this study, the simultaneous removal of Cd2+, Ni2+ and Zn2+ ions from aqueous solution using bone char was studied. Multicomponent sorption data of ternary metal solutions were obtained employing Taguchi’s experimental designs and a statistical analysis using the signal-to-noise ratio was performed to identify and quantify the antagonistic sorption effects between these metal ions. This study illustrates the advantages of using these statistical tools for the analysis of multicomponent sorption data. Our results showed that there were significant antagonistic sorption effects caused by the competition between these metal ions in the solution. In particular, Ni2+ has the greatest antagonistic effect on the removal of other co-ions, while the ion Zn2+ has the less competitive effect on the multicomponent heavy metal removal using bone char. The sorption capacity increased in the following order: Cd2+ < Zn2+ << Ni2+. This removal trend may be related to the physicochemical properties of the different pollutants present in the solution. Equilibrium data were fitted to different theoretical and empirical sorption isotherm models for multicomponent systems. In summary, our results suggested that the bone char can be considered as alternative sorbent for treatment of aqueous solutions polluted by Cd2+, Ni2+ and Zn2+ ions.



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How to Cite
Mendoza-Castillo, D., Bonilla-Petriciolet, A., & Jauregui-Rincon, J. (2020). STATISTICAL ANALYSIS AND MODELING OF MULTICOMPONENT SORPTION OF HEAVY METALS IN WATER USING BONE CHAR. Revista Mexicana De Ingeniería Química, 15(2), 525-542. Retrieved from
Catalysis, kinetics and reactors