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Validation of kinetic modeling of progesterone release from polymeric membranes.
Romero, Analia Irma; Villegas, Mercedes; Cid, Alicia Graciela; Parentis, Mónica Liliana; Gonzo, Elio Emilio; Bermúdez, José María.
Afiliación
  • Romero AI; Instituto de Investigaciones para la Industria Química, Universidad Nacional de Salta - Consejo Nacional de Investigaciones Científicas y Técnicas, Av. Bolivia 5150, Salta Capital 4400, Argentina.
  • Villegas M; Facultad de Ingeniería, Universidad Nacional de Salta, Av. Bolivia 5150, Salta Capital 4400, Argentina.
  • Cid AG; Instituto de Investigaciones para la Industria Química, Universidad Nacional de Salta - Consejo Nacional de Investigaciones Científicas y Técnicas, Av. Bolivia 5150, Salta Capital 4400, Argentina.
  • Parentis ML; Facultad de Ingeniería, Universidad Nacional de Salta, Av. Bolivia 5150, Salta Capital 4400, Argentina.
  • Gonzo EE; Instituto de Investigaciones para la Industria Química, Universidad Nacional de Salta - Consejo Nacional de Investigaciones Científicas y Técnicas, Av. Bolivia 5150, Salta Capital 4400, Argentina.
  • Bermúdez JM; Facultad de Ingeniería, Universidad Nacional de Salta, Av. Bolivia 5150, Salta Capital 4400, Argentina.
Asian J Pharm Sci ; 13(1): 54-62, 2018 Jan.
Article en En | MEDLINE | ID: mdl-32104378
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Asian J Pharm Sci Año: 2018 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Asian J Pharm Sci Año: 2018 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Países Bajos