Modelling of the enantio-selective extraction of propranolol in a biphasic system

• Published in: Separation and purification technology 2007-03, Vol.53 (3), p.224-234
• Main Authors: Viegas, Rui M.C., Afonso, Carlos A.M., Crespo, João G., Coelhoso, Isabel M.
• Format: Article
• Language: English
• Subjects: Applied sciences; Artificial neural network; Chemical engineering; Chiral separation; Enantio-selective extraction; Exact sciences and technology; Hybrid modelling; Propranolol; Racemic resolution
• ISSN: 1383-5866; 1873-3794
• DOI: 10.1016/j.seppur.2006.07.010

This work reports the study of the racemic resolution of propranolol, an amino-alcohol with proven efficacy in the treatment of hypertension, ischemic heart disease and arrhythmia. Among all β-blockers, propranolol was selected, as a case study, also due to its enantiomers diverse properties. The studies performed involve an enantio-selective extraction in a biphasic system, where propranolol first reacts with boric acid in aqueous media and then complexes with a chiral di-dodecyltartrate selector present in the organic phase. Factors affecting the extraction mechanism were analysed, namely the influence of the concentrations of the tartrate complexing agent and boric acid and the pH. A comprehensive mechanism of extraction is proposed. Due to its complexity the mathematical approach developed involves the use of a hybrid model, with a deterministic component, describing the material balance equations of the reactions involved, and a neural network, which allows accounting for the variable non-selective partition of propranolol.