4.7 Article

Mathematical modeling of drug release from lipid dosage forms

Journal

INTERNATIONAL JOURNAL OF PHARMACEUTICS
Volume 418, Issue 1, Pages 42-53

Publisher

ELSEVIER
DOI: 10.1016/j.ijpharm.2011.07.015

Keywords

Mathematical modeling; Lipid; Drug release mechanism; Controlled release; Implant; Microparticle

Funding

  1. French National Research Agency ANR (BIOSTAB)
  2. Nord-Pas de Calais Regional Council (PRIM)
  3. INTERREG IVA 2 Mers Seas Zeeen Cross-border Cooperation Programme (IDEA)

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Lipid dosage forms provide an interesting potential for controlled drug delivery. In contrast to frequently used poly(ester) based devices for parenteral administration, they do not lead to acidification upon degradation and potential drug inactivation, especially in the case of protein drugs and other acid-labile active agents. The aim of this article is to give an overview on the current state of the art of mathematical modeling of drug release from this type of advanced drug delivery systems. Empirical and semi-empirical models are described as well as mechanistic theories, considering diffusional mass transport, potentially limited drug solubility and the leaching of other, water-soluble excipients into the surrounding bulk fluid. Various practical examples are given, including lipid microparticles, beads and implants, which can successfully be used to control the release of an incorporated drug during periods ranging from a few hours up to several years. The great benefit of mechanistic mathematical theories is the possibility to quantitatively predict the effects of different formulation parameters and device dimensions on the resulting drug release kinetics. Thus, in silico simulations can significantly speed up product optimization. This is particularly useful if long release periods (e.g., several months) are targeted, since experimental trial-and-error studies are highly time-consuming in these cases. In the future it would be highly desirable to combine mechanistic theories with the quantitative description of the drug fate in vivo, ideally including the pharmacodynamic efficacy of the treatments. (C) 2011 Elsevier B.V. All rights reserved.

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