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Probabilistic models for drug dissolution. Part 1. Review of Monte Carlo and stochastic cellular automata approaches.

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

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Abstract

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.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:modelling; drug delivery systems; drug dissolution; drug release; design and experiment; multi-component systems; Monte Carlo; cellular automata; porosity; dissolution through pores
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.2006.01.004
ID Code:15
Deposited On:08 Nov 2006 by DORAS Administrator. Last Modified 30 Jan 2009 11:14

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