Mathematical modelling of the drug release from an ensemble of coated pellets
Journal article, 2017

Background and PurposeCoated pellets are widely used as oral drug delivery systems, being highly accepted by patients and with several advantages compared to single unit devices. However, their behaviour needs to be elucidated so as to improve the effectiveness of the formulations and reduce production costs. In spite of this important issue, few mathematical modelling studies have been attempted, mostly due to the complexities arising from the system's polydispersity (non-homogeneous multiple-unit particulate systems), which has been scarcely investigated using mechanistic models. Experimental approachA mechanistic mathematical model was developed that was able to describe the single pellet behaviour in terms of hydration, drug dissolution, diffusion and release and particle size. This model was then extended to describe and predict the behaviour of mono- and polydispersed ensembles of pellets. Key ResultsThe polydispersity arising from the size and distribution of the inert core was shown to have a minimal effect on the drug release profile, whereas the thickness and distribution of the polymeric film was found to be the key parameter determining the drug release. Conclusions and ImplicationsThe mechanistic model developed, which is capable of determining the polydispersity of the drug delivery system, was able to predict the release kinetics from ensembles of pellets and to highlight the key parameters that need to be controlled in the production of pellet-based drug delivery systems, demonstrating its use as a powerful predictive tool.

Author

D. Caccavo

University of Salerno

G. Lamberti

University of Salerno

M. M. Cafaro

University of Salerno

A. A. Barba

University of Salerno

J. Kazlauske

AstraZeneca AB

Anette Larsson

SuMo Biomaterials

Chalmers, Chemistry and Chemical Engineering, Applied Chemistry, Pharmaceutical Technology

British Journal of Pharmacology

0007-1188 (ISSN)

Vol. 174 12 1797-1809

Subject Categories

Pharmaceutical Sciences

DOI

10.1111/bph.13776

More information

Latest update

4/5/2018 1