Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pharmaceutical Powders

• Main Authors: Sonia Keskes, Salah Hanini, Mohamed Hentabli, Mammar Laidi
• Format: Article
• Language: English
• Published: Croatian Society of Chemical Engineers 2020-03-01
• Series: Kemija u Industriji
• Subjects: dragonfly algorithm; support vector machine regression (da_svmr); artificial neural network (ann); mathematical modelling; drying kinetics; vacuum drying; candesartan cilexetil
• Online Access: http://silverstripe.fkit.hr/kui/assets/Uploads/4-137-152.pdf

The study aims at modelling the drying kinetics of a pharmaceutical powder with active ingredient Candesartan Cilexetil. The kinetics was carried out in a vacuum dryer at different temperature levels, pressure, initial mass, and water content. The effect of some operating parameters on the drying time was studied. The modelling of drying times was based on the use of experimental design method. The data obtained were adjusted using 17 semi-empirical models, one proposed, a static ANN and DA_SVMR, regrouping all studied kinetics. The proposed model and DA_SVMR model were chosen as the most appropriate to describe the drying kinetics.