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

Álvaro González-Garcinuño; Lucia Baldino; Antonio Tabernero; Mariangela Guastaferro; Stefano Cardea; Ernesto Reverchon; Eva Martín Del Valle

doi:10.1016/j.ejps.2022.106325

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

Eur J Pharm Sci. 2023 Jan 1:180:106325. doi: 10.1016/j.ejps.2022.106325. Epub 2022 Nov 6.

Authors

Álvaro González-Garcinuño¹, Lucia Baldino², Antonio Tabernero³, Mariangela Guastaferro², Stefano Cardea⁴, Ernesto Reverchon², Eva Martín Del Valle⁵

Affiliations

¹ Department of Chemical Engineering, University of Salamanca, Plaza los Caídos s/n, Salamanca, SA 37008, Spain.
² Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, SA 84084, Italy.
³ Department of Chemical Engineering, University of Salamanca, Plaza los Caídos s/n, Salamanca, SA 37008, Spain. Electronic address: antaber@usal.es.
⁴ Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, SA 84084, Italy. Electronic address: scardea@unisa.it.
⁵ Department of Chemical Engineering, University of Salamanca, Plaza los Caídos s/n, Salamanca, SA 37008, Spain; Instituto de Investigación Biomédica de Salamanca, Hospital Virgen de la Vega, Paseo San Vicente, 58-182, Salamanca, SA 37007, Spain.

PMID: 36351487
DOI: 10.1016/j.ejps.2022.106325

Abstract

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 CO₂ (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.

Keywords: Compartmental model; Drug delivery systems; Release kinetics; ScCO(2) structures.

MeSH terms

Adsorption
Drug Liberation
Epidemiological Models*
Porosity