Validation of a compartmental model to predict drug release from porous structures produced by ScCO2 techniques

[EN]A global release model is proposed to study the drug release from porous materials for pharmaceutical applications. This model is defined by implementing a compartmental model where the release profile could be explained as the combination of mass transfer phenomena through three compartments as...

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Detalles Bibliográficos
Autores: González Garcinuño, Álvaro, Baldino, Lucia, Tabernero de Paz, Antonio, Guastaferro, Mariangela, Cardea, Stefano, Reverchon, Ernesto, Martín del Valle, Eva María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/156839
Acceso en línea:http://hdl.handle.net/10366/156839
Access Level:acceso embargado
Palabra clave:Release kinetics
Compartmental model
Drug delivery systems
ScCO 2 structures
3303 Ingeniería y Tecnología Químicas
Descripción
Sumario:[EN]A global release model is proposed to study the drug release from porous materials for pharmaceutical applications. This model is defined by implementing a compartmental model where the release profile could be explained as the combination of mass transfer phenomena through three compartments as well as a desorption process or dissolution process from the support. This model was validated with five different systems produced with supercritical CO 2 (aerogels, membranes, and fibers), showing different release processes. Numerical results indicate that this compartmental approach can be useful to determine adsorption and desorption constants as well as mass transfer resistances within the material. Likewise, this model can predict lag phases and imbibition phenomena. Therefore, the development of compartmental models can be an alternative to traditional models to successfully predict the drug profile of porous materials, achieving a complete understanding of the involved phenomena regardless of the material characteristics.