dc.creatorConcha, Luis
dc.creatorResende Pires, Ana Luiza
dc.creatorMoraes, Angela Maria
dc.creatorMas Hernandez, Elizabeth
dc.creatorBerres, Stefan
dc.creatorHernandez Montelongo, Jacobo
dc.date2022
dc.date2022-04-18T17:05:50Z
dc.date2022-04-18T17:05:50Z
dc.date.accessioned2022-10-18T14:52:59Z
dc.date.available2022-10-18T14:52:59Z
dc.identifierPOLYMERS,Vol.14,,2022
dc.identifierhttps://repositoriodigital.uct.cl/handle/10925/4541
dc.identifier10.3390/polym14061109
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4444286
dc.descriptionThis work focuses on the mathematical analysis of the controlled release of a standardized extract of A. chica from chitosan/alginate (C/A) membranes, which can be used for the treatment of skin lesions. Four different types of C/A membranes were tested: a dense membrane (CA), a dense and flexible membrane (CAS), a porous membrane (CAP) and a porous and flexible membrane (CAPS). The Arrabidae chica extract release profiles were obtained experimentally in vitro using PBS at 37 degrees C and pH 7. Experimental data of release kinetics were analyzed using five classical models from the literature: Zero Order, First Order, Higuchi, Korsmeyer-Peppas and Weibull functions. Results for the Korsmeyer-Peppas model showed that the release of A. chica extract from four membrane formulations was by a diffusion through a partially swollen matrix and through a water filled network mesh; however, the Weibull model suggested that non-porous membranes (CA and CAS) had fractal geometry and that porous membranes (CAP and CAPS) have highly disorganized structures. Nevertheless, by applying an explicit optimization method that employs a cost function to determine the model parameters that best fit to experimental data, the results indicated that the Weibull model showed the best simulation for the release profiles from the four membranes: CA, CAS and CAP presented Fickian diffusion through a polymeric matrix of fractal geometry, and only the CAPS membrane showed a highly disordered matrix. The use of this cost function optimization had the significant advantage of higher fitting sensitivity.
dc.languageen
dc.publisherMDPI
dc.sourcePOLYMERS
dc.subjectcost function
dc.subjectcontrolled release
dc.subjectArrabidae chica Verlot
dc.subjectchitosan
dc.subjectalginate membranes
dc.titleCost Function Analysis Applied to Different Kinetic Release Models of Arrabidaea chica Verlot Extract from Chitosan/Alginate Membranes
dc.typeArticle


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