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Probabilistic models for drug dissolution. Part 1. Review of Monte Carlo and stochastic cellular automata approaches.
Barat, Ana; Ruskin, Heather J.; Crane, Martin
Throughout the last decades, Monte Carlo (MC) techniques have been used in simulating various complex systems. In this paper, we investigate how MC-based methods are used in the field of Drug Delivery, indicating what aspects of the complex problems of drug dissolution and design can benefit from this particular approach. After introducing the area of modelling drug dissolution, with its different features and needs, we report and examine the existing Direct MC and Stochastic Cellular Automata modelling efforts used to simulate dissolution of pharmaceutical compacts or related phenomena. In Part 2, we enlarge on a description of our work on Direct MC, for the particular case of simulating a binary system consisting of poorly soluble drug dispersed in a matrix of highly-soluble acid excipient.
Keyword(s): Mathematical models; Numerical analysis; Stochastic analysis; modelling; drug delivery systems; drug dissolution; drug release; design and experiment; multi-component systems; Monte Carlo; cellular automata; porosity; dissolution through pores
Publication Date:
2006
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: Dublin City University
Citation(s): Barat, Ana and Ruskin, Heather J. and Crane, Martin (2006) Probabilistic models for drug dissolution. Part 1. Review of Monte Carlo and stochastic cellular automata approaches. Simulation modelling practice and theory, 14 (7). pp. 843-856. ISSN 1569-190X
Publisher(s): Elsevier
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/15/1/Copy_of_simpat1-1.pdf
First Indexed: 2014-04-17 05:43:17 Last Updated: 2018-05-15 06:19:53