Theoretical prediction of selectivity in solvent extraction of La(III) and Ce(III) from aqueous solutions using β-diketones as extractants and kerosene and two imidazolium-based ionic liquids as diluents via quantum chemistry and COSMO-RS calculations

Rosales, Gonzalo; Quintriqueo, Angelica; Romero, Julio

Abstract

This study proposes a theoretical method based on OFT and COSMO-RS calculations to predict selectivity in the solvent extraction (SX) of lanthanum(III) and cerium(III), by using beta-diketones as the extractant and kerosene or imidazolium-based ionic liquids (ILs) as the diluent. To calculate the selectivity, the model requires three important pieces of information: the extraction stoichiometry, the type and structure of the extractant/synergistic agent, and the diluent used in the SX process. Therefore, as the first step, the extraction stoichiometry is determined experimentally. Using these results to perform OFT and COSMO-RS calculations, thermochemical parameters allowed to calculate the selectivity. The results indicate that the theoretical selectivity trends agree closely with the experimental results even when using ILs as diluents, demonstrating the applicability of this method. It is established that the selectivity can be increased by using both beta-diketones with bulky functional groups and a synergistic agent. This predictive method has immense potential as a practical tool providing valuable insights into the design of extractants and hydrophobic diluents for the selective recovery of lanthanides in industrial applications. (C) 2020 Elsevier B.V. All rights reserved.

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Título según WOS: Theoretical prediction of selectivity in solvent extraction of La(III) and Ce(III) from aqueous solutions using beta-diketones as extractants and kerosene and two imidazolium-based ionic liquids as diluents via quantum chemistry and COSMO-RS calculations
Título de la Revista: JOURNAL OF MOLECULAR LIQUIDS
Volumen: 325
Editorial: Elsevier
Fecha de publicación: 2021
DOI:

10.1016/j.molliq.2020.114655

Notas: ISI