A mechanistic model of controlled drug release from polymer millirods: Effects of excipients and complex binding

被引:43
作者
Wang, Fangjing
Saidel, Gerald M. [1 ]
Gao, Jinming
机构
[1] Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA
[2] Univ Texas, SW Med Ctr, Simmons Comprehens Canc Ctr, Dallas, TX 75390 USA
关键词
PLGA millirods; mathematical model; parameter estimation; cyclodextrin inclusion complex; excipients; drug release;
D O I
10.1016/j.jconrel.2007.01.019
中图分类号
O6 [化学];
学科分类号
0703 [化学];
摘要
The incorporation of different cycloclextrin (CD) excipients such as HP beta-CD, beta-CD, gamma-CD or alpha-CD into polymer millirods for complexing beta-lapachone (beta-lap), a potent anti-cancer drug, significantly improved the drug release kinetics with various drug release patterns. However, such a complex system requires a mechanistically based model in order to provide a quantitative understanding of the many molecular events and processes that are essential for the rational development of millirod implants. This study focuses on mathematical modeling of drug release from PLGA cylindrical millirods. This millirod system incorporates multiple components: a PLGA matrix; excipient in free and complex forms; drug in free, bound, and crystalline forms. The model characterizes many dynamic transport and complexation processes that include radial diffusion, excipient complexation and crystalline drug dissolution. Optimal estimates of the model parameters were obtained by minimizing the difference between model simulation and experimentally measured drug release kinetics. The effects of different drug loadings on the drug release rate were simulated and compared with other data to validate this model. Whereas our model can simulate all the experimental data, the Higuchi model can simulate only some of them. Furthermore, our model incorporates mechanisms by which the processes underlying drug release from a polymer matrix can be quantitatively analyzed. These processes include drug entrapment/dissolution in the matrix, drug recrysallization, and supersaturation. This modeling study shows that complex binding capacity, which affects drug initial conditions, drug-polymer interactions, and bound drug behavior in aqueous solution, is crucial in controlling drug release kinetics. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:111 / 120
页数:10
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