Analysis of Diffusion‐Controlled Dissolution from Polydisperse Collections of Drug Particles with an Assessed Mathematical Model. Issue 9 (18th May 2015)

• Record Type: Journal Article
• Authors: Wang, Yanxing; Abrahamsson, Bertil; Lindfors, Lennart; Brasseur, James G.; Donovan, Maureen D.; Langguth, Peter; Polli, James E.; Tamai, Ikumi; Vig, Balvinder; Yu, Lawrence X.
• Is Part Of: Journal of pharmaceutical sciences. Volume 104:Issue 9(2015:Sep.)
• Page Start: 2998
• Page End: 3017
• Publication Date: 2015-05-18
• Subjects: Pharmacy -- Periodicals; 615.1
• DOI: 10.1002/jps.24472
• Languages: English
• ISSNs: 0022-3549

Abstract

<abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <p>We introduce a "hierarchical" modeling strategy designed to be systematically extensible to increase the detail of dissolution predictions from polydisperse collections of drug particles and to be placed on firm mathematical and physical foundations with diffusion‐dominated dissolution at its core to predict dissolution and the evolution of particle size distribution. We assess the model with experimental data and demonstrate higher accuracy by treating the polydisperse nature of dissolution. A level in the hierarchy is applied to study elements of diffusion‐driven dissolution, in particular the role of particle‐size distribution width with varying dose level and the influences of "confinement" on the process of dissolution. Confinement influences surface molecular flux, directly by the increase in bulk concentration and indirectly by the relative volume of particles to container. We find that the dissolution process can be broadly categorized within three "regimes" defined by the ratio of total concentration <italic>C</italic><sub>tot</sub> to solubility <italic>C</italic><sub>S</sub>. Sink conditions apply in the first regime, when <inline-formula><alternatives><inline-graphic mimetype="image" xlink:href="ark:/27927/pgj2f0t91ms" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math display="inline" altimg="urn:x-wiley:00223549:media:jps24472:jps24472-math-0001" overflow="scroll" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi> tot </mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub><mml:mo><</mml:mo><mml:mo>∼</mml:mo><mml:mn>0.1</mml:mn></mml:mrow></mml:math></alternatives></inline-formula>. When <inline-formula><alternatives><inline-graphic mimetype="image" xlink:href="ark:/27927/pgj2f0t91nb" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math display="inline" altimg="urn:x-wiley:00223549:media:jps24472:jps24472-math-0002" overflow="scroll" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi> tot </mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub><mml:mo>></mml:mo><mml:mo>∼</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></alternatives></inline-formula> (regime 3) dissolution is dominated by confinement and normalized saturation time follows a simple power law relationship. Regime 2 is characterized by a "saturation singularity" where dissolution is sensitive to both initial particle size distribution and confinement. © 2015 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:2998–3017, 2015</p> </abstract>