Liquid-liquid equilibrium data for the ternary system based on ionic liquid plus organic solvents + water at 298 K and atmospheric pressure applied in antidepressant partitioning

abstract

Antidepressants are drugs widely used in nervous disorders, such as anxiety, depression, and panic, and are eliminated through the urinary system. In bodies of water, they present high persistence and toxicity, even at low concentrations, conforming to the classification of emerging micropollutants. This work addresses the construction of phase diagrams for different biphasic systems, based on ionic liquids (ILs) and organic solvents, and their subsequent application in the partitioning of antidepressants such as fluoxetine hydrochloride, paroxetine hydrochloride and sertraline hydrochloride. The phase diagrams were measured gravimetrically at 298.15 +/- 1.00 K and atmospheric pressure using the turbidity method. The ILs of the imidazolium family, with shorter chain length [C(2)mim](+), were the only ones able to form biphasic systems using 1,3-dioxolane. The driving force for phase separation is the comparison of hydrophobic/hydrophilic characteristics between the constituents. In this sense, the pair of constituents [C(2)min][OAc] and 1,3-dioxolane provided the phase diagram with the largest biphasic area. The partitioning of antidepressants was studied in systems formed by IL (25 wt%) + 1,3-dioxolane (50 wt%) + water (25 wt%) containing 1.05 mu g.L-1 of fluoxetine hydrochloride, 1.42 mu g.L-1 of paroxetine hydrochloride or 0.23 mu g.L-1 sertraline hydrochloride at 298.15 +/- 1.00 K and atmospheric pressure. The partitioning followed the characteristics of antidepressant sigma-profiles generated through COSMO-RS. The recoveries were high, and the proposed systems were shown to promote the selective isolation of pairs of these antidepressants.

keywords

AQUEOUS 2-PHASE SYSTEMS; MUNICIPAL WASTE-WATER; BIPHASIC SYSTEMS; ANTIDEPRESSANT DRUGS; POLYETHYLENE-GLYCOL; TREATMENT PLANTS; PHASE-DIAGRAMS; EXTRACTION; ACETONITRILE; METABOLITES

subject category

Engineering

authors

de Sousa, KM; Lima, TSP; de Souza, RL; Nerli, BB; Pereira, MM; Soares, CMF; Lima, AS

our authors

acknowledgements

The authors would like to thank CAPES (Coordenacao de Aperfeicoamento de Pessoal do Nivel Superior), CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) and FAPITEC (Fundacao de Apoio a Pesquisa e Inovacao Tecnol ' ogica do Estado de Sergipe) for the financial support. This work was performed in partial fulfillment of the requirements for the PhD. degree for Kenia Marcatti de Sousa in Universidade Tiradentes. Furthermore, the authors would like to thank FAPITEC/SE (Fundacao de Amparo a Pesquisa e Inovacao Tecnologica do Estado de Sergipe) by the scholarship granted to Thailan S.P. Lima and Kenia M. Souza and finally we thank A Formula pharmacy, for providing the samples of antidepressants used in this work.

Share this project:

Related Publications

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".