Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pharmaceutical Powders
Open Access
- 9 April 2020
- journal article
- research article
- Published by Croatian Society of Chemical Engineers/HDKI in Kemija u industriji
- Vol. 69 (3-4), 137-152
- https://doi.org/10.15255/kui.2019.038
Abstract
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.Keywords
This publication has 15 references indexed in Scilit:
- Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: A reviewAdvances in Colloid and Interface Science, 2017
- Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive ReviewDrying Technology, 2015
- Moisture Content Prediction in the Switchgrass (Panicum virgatum) Drying Process Using Artificial Neural NetworksDrying Technology, 2015
- Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classificationEgyptian Informatics Journal, 2012
- Modeling using a new thin layer drying model and product quality of cocoaJournal of Food Engineering, 2009
- Weibull distribution for modeling air drying of coroba slicesLWT, 2008
- Mathematical modelling of convection drying of green table olivesBiosystems Engineering, 2007
- Microwave-Vacuum Drying Kinetics of Pharmaceutical PowdersDrying Technology, 2005
- Optimisation of the predictive ability of artificial neural network (ANN) models: A comparison of three ANN programs and four classes of training algorithmEuropean Journal of Pharmaceutical Sciences, 2005
- Microwave-Vacuum Drying of Pharmaceutical PowdersDrying Technology, 2003