Solubility Equilibrium Data Research Articles

2024 Franzosini Prize and Balarew Award—Call for Nominations

Abstract In 1989 the Subcommittee on Solubility Equilibrium Data (SSED) inaugurated the Franzosini Award to assist a promising young contributor to the Solubility Data Project. In 2023 the Franzosini Award was renamed the Franzosini Prize and elevated to an award in recognition of outstanding and sustained contributions to the field of critical evaluation of data in solubility and related chemical equilibria. At the same time the Balarew Award was inaugurated to recognize an Outstanding Young Scientist working in the field of critical evaluation of solubility and/or related chemical equilibria.

2022 Franzosini Award—Call For Nominations

Abstract The Subcommittee on Solubility Equilibrium Data (SSED) established the Franzosini Award to be made to a maximum of two young scientists working in the areas of solubility and homogeneous equilibrium data. The awardees must attend the International Symposium on Solubility Phenomena and Related Equilibrium Processes (ISSP), the biannual conference organized by the SSED.

Measurement and thermodynamic model study on solubility equilibrium of potassium phosphate, potassium hydrogen phosphate, and potassium carbonate in aqueous systems containing the ionic liquid [Bmim]Cl at 298.15 K

Solubilities of potassium phosphate (K3PO4), potassium hydrogen phosphate (K2HPO4) and potassium carbonate (K2CO3) in aqueous systems containing the ionic liquid 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) were determined by cloud-point measurements in the temperature of 298.15K at atmospheric pressure. The solubility equilibrium data were correlated and calculated by using Extended Pitzer thermodynamic model. In addition, the new Pitzer ion interaction parameters of the mixed-electrolyte solution were obtained by using an optimization program based on Simplex Method of Nelder–Mead algorithm. Comparison of calculated results by using the new interaction parameters at 298.15K was expressed by the relative standard deviations between the regressed solubility values and the experimental data. Results indicate that predictions of the present model are in well accordance with experimental values, which supports the reliability of the model prediction.