Relation between solubility and microextraction recovery data of lamotrigine for prediction of partitioning properties

Abstract

The aim of this investigation was to study the solubility behavior of lamotrigine (LTG) as a model for basic drugs in the components of solvent systems used for a binary solvent dispersive liquid- liquid microextraction (BS-DLLME). In this system, chloroform (CLF) and dichloromethane (DCM) were used as the binary extracting agents and acetonitrile (ACN) and acetone (ACTN) were used as disperser solvents. Solubility of LTG were measured in the binary mixed solvents of ACN + water, ACTN + water and dry and water saturated mixtures of DCM + CLF at 298.2 K. Furthermore, two solvent mixtures including CLF, DCM, ACN and CLF, DCM, ACTN in various percentages were used to investigate the best solvents composition for extraction of LTG from aqueous samples. The solubility and recovery results were mathematically correlated by the Jouyban-Acree model and the accuracies of this model were evaluated by computing MRD%. The overall MRD% of 7.6% obtained for solubility data and 2.1% for recovery data show the capability of the Jouyban-Acree model for numerical representation of solubility and recovery profiles. Finally, it was tried to find a relation between solubility and recovery data to predict the partitioning of a drug between different liquids and exploring the appropriate solvent system for extraction from aqueous samples via DLLME procedure.