Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Probabilistic methods for drug dissolution. Part 2. Modelling a soluble binary drug delivery system dissolving in vitro.

Barat, Ana and Ruskin, Heather J. and Crane, Martin (2006) Probabilistic methods for drug dissolution. Part 2. Modelling a soluble binary drug delivery system dissolving in vitro. Simulation modelling practice and theory, 14 (7). pp. 857-873. ISSN 1569-190X

Full text available as:

[img]PDF - Archive staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
638Kb

Abstract

The objective of this work is to use direct Monte Carlo techniques in simulating drug delivery from compacts of complex composition, taking into consideration the special features of the in vitro dissolution environment. The paper focuses on simulating a binary system, consisting of poorly soluble drug, dispersed in a matrix of highly soluble acid excipient. At dissolution, the acid excipient develops certain mechanisms, based on local pH modifications of the medium, which strongly influence drug release. Our model directly accounts for such effects as local interactions of the dissolving components, development of wall roughness at the solid–liquid interface, moving concentration boundary layer and mass transport by advection. Results agree with experimental data and have demonstrated that when modelling dissolution in vitro, special attention must be paid to including the particular conditions of the dissolution environment.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:modelling; drug delivery systems; dissolution; design and experiment; multicomponent soluble compacts; Monte Carlo; cellular automata;
Subjects:Mathematics > Mathematical models
Mathematics > Numerical analysis
Mathematics > Stochastic analysis
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/j.simpat.2006.03.003
ID Code:19
Deposited On:08 Nov 2006 by DORAS Administrator. Last Modified 30 Jan 2009 11:15

Archive Staff Only: edit this record