Mathematical modeling in drug release systems is fundamental in development and optimization of these systems, since it allows to predict drug release rates and to elucidate the physical transport mechanisms involved....Mathematical modeling in drug release systems is fundamental in development and optimization of these systems, since it allows to predict drug release rates and to elucidate the physical transport mechanisms involved. In this paper we validate a novel mathematical model that describes progesterone(Prg) controlled release from poly-3-hydroxybutyric acid(PHB) membranes. A statistical analysis was conducted to compare the fitting of our model with six different models and the Akaike information criterion(AIC) was used to find the equation with best-fit. A simple relation between mass and drug released rate was found,which allows predicting the effect of Prg loads on the release behavior. Our proposed model was the one with minimum AIC value, and therefore it was the one that statistically fitted better the experimental data obtained for all the Prg loads tested. Furthermore, the initial release rate was calculated and therefore, the interface mass transfer coefficient estimated and the equilibrium distribution constant of Prg between the PHB and the release medium was also determined. The results lead us to conclude that our proposed model is the one which best fits the experimental data and can be successfully used to describe Prg drug release in PHB membranes.展开更多
基金the Consejo de Investigación,Universidad Nacional de Salta(CIUNSa,2176/0)the Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET)the Agencia Nacional de Promoción Científica y Tecnológica(ANPCy T,PICT-MICINN 2011-2751 and PICT 2012-2643)for financial support
文摘Mathematical modeling in drug release systems is fundamental in development and optimization of these systems, since it allows to predict drug release rates and to elucidate the physical transport mechanisms involved. In this paper we validate a novel mathematical model that describes progesterone(Prg) controlled release from poly-3-hydroxybutyric acid(PHB) membranes. A statistical analysis was conducted to compare the fitting of our model with six different models and the Akaike information criterion(AIC) was used to find the equation with best-fit. A simple relation between mass and drug released rate was found,which allows predicting the effect of Prg loads on the release behavior. Our proposed model was the one with minimum AIC value, and therefore it was the one that statistically fitted better the experimental data obtained for all the Prg loads tested. Furthermore, the initial release rate was calculated and therefore, the interface mass transfer coefficient estimated and the equilibrium distribution constant of Prg between the PHB and the release medium was also determined. The results lead us to conclude that our proposed model is the one which best fits the experimental data and can be successfully used to describe Prg drug release in PHB membranes.
