Literature DB >> 22384832

Comparison and analysis of theoretical models for diffusion-controlled dissolution.

Yanxing Wang1, Bertil Abrahamsson, Lennart Lindfors, James G Brasseur.   

Abstract

Dissolution models require, at their core, an accurate diffusion model. The accuracy of the model for diffusion-dominated dissolution is particularly important with the trend toward micro- and nanoscale drug particles. Often such models are based on the concept of a "diffusion layer." Here a framework is developed for diffusion-dominated dissolution models, and we discuss the inadequacy of classical models that are based on an unphysical constant diffusion layer thickness assumption, or do not correctly modify dissolution rate due to "confinement effects": (1) the increase in bulk concentration from confinement of the dissolution process, (2) the modification of the flux model (the Sherwood number) by confinement. We derive the exact mathematical solution for a spherical particle in a confined fluid with impermeable boundaries. Using this solution, we analyze the accuracy of a time-dependent "infinite domain model" (IDM) and "quasi steady-state model" (QSM), both formally derived for infinite domains but which can be applied in approximate fashion to confined dissolution with proper adjustment of a concentration parameter. We show that dissolution rate is sensitive to the degree of confinement or, equivalently, to the total concentration C(tot). The most practical model, the QSM, is shown to be very accurate for most applications and, consequently, can be used with confidence in design-level dissolution models so long as confinement is accurately treated. The QSM predicts the ratio of diffusion layer thickness to particle radius (the Sherwood number) as a constant plus a correction that depends on the degree of confinement. The QSM also predicts that the time required for complete saturation or dissolution in diffusion-controlled dissolution experiments is singular (i.e., infinite) when total concentration equals the solubility. Using the QSM, we show that measured differences in dissolution rate in a diffusion-controlled dissolution experiment are a result of differences in the degree of confinement on the increase in bulk concentration independent of container geometry and polydisperse vs single particle dissolution. We conclude that the constant diffusion-layer thickness assumption is incorrect in principle and should be replaced by the QSM with accurate treatment of confinement in models of diffusion-controlled dissolution.

Mesh:

Year:  2012        PMID: 22384832     DOI: 10.1021/mp2002818

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  8 in total

1.  Dissolution studies of poorly soluble drug nanosuspensions in non-sink conditions.

Authors:  Peng Liu; Odile De Wulf; Johanna Laru; Teemu Heikkilä; Bert van Veen; Juha Kiesvaara; Jouni Hirvonen; Leena Peltonen; Timo Laaksonen
Journal:  AAPS PharmSciTech       Date:  2013-04-25       Impact factor: 3.246

2.  Biorelevant in vitro performance testing of orally administered dosage forms-workshop report.

Authors:  Christos Reppas; Horst-Dieter Friedel; Amy R Barker; Lucinda F Buhse; Todd L Cecil; Susanne Keitel; Johannes Kraemer; J Michael Morris; Vinod P Shah; Mary P Stickelmeyer; Chikako Yomota; Cynthia K Brown
Journal:  Pharm Res       Date:  2014-03-19       Impact factor: 4.200

3.  The Biopharmaceutics Classification System: subclasses for in vivo predictive dissolution (IPD) methodology and IVIVC.

Authors:  Yasuhiro Tsume; Deanna M Mudie; Peter Langguth; Greg E Amidon; Gordon L Amidon
Journal:  Eur J Pharm Sci       Date:  2014-01-28       Impact factor: 4.384

Review 4.  Formulation predictive dissolution (fPD) testing to advance oral drug product development: An introduction to the US FDA funded '21st Century BA/BE' project.

Authors:  Bart Hens; Patrick D Sinko; Nicholas Job; Meagan Dean; Jozef Al-Gousous; Niloufar Salehi; Robert M Ziff; Yasuhiro Tsume; Marival Bermejo; Paulo Paixão; James G Brasseur; Alex Yu; Arjang Talattof; Gail Benninghoff; Peter Langguth; Hans Lennernäs; William L Hasler; Luca Marciani; Joseph Dickens; Kerby Shedden; Duxin Sun; Gregory E Amidon; Gordon L Amidon
Journal:  Int J Pharm       Date:  2018-06-23       Impact factor: 5.875

5.  Printing of small molecular medicines from the vapor phase.

Authors:  Olga Shalev; Shreya Raghavan; J Maxwell Mazzara; Nancy Senabulya; Patrick D Sinko; Elyse Fleck; Christopher Rockwell; Nicholas Simopoulos; Christina M Jones; Anna Schwendeman; Geeta Mehta; Roy Clarke; Gregory E Amidon; Max Shtein
Journal:  Nat Commun       Date:  2017-09-27       Impact factor: 14.919

6.  Selection of In Vivo Predictive Dissolution Media Using Drug Substance and Physiological Properties.

Authors:  Deanna M Mudie; Nasim Samiei; Derrick J Marshall; Gregory E Amidon; Christel A S Bergström
Journal:  AAPS J       Date:  2020-01-27       Impact factor: 4.009

7.  Characterization of Membrane-Type Dissolution Profiles of Clinically Available Orally Inhaled Products Using a Weibull Fit and a Mechanistic Model.

Authors:  Irès van der Zwaan; Frans Franek; Rebecca Fransson; Ulrika Tehler; Göran Frenning
Journal:  Mol Pharm       Date:  2022-08-08       Impact factor: 5.364

8.  Determination of Intrinsic Drug Dissolution and Solute Effective Transport Rate during Laminar Fluid Flow at Different Velocities.

Authors:  Sara B E Andersson; Göran Frenning; Göran Alderborn
Journal:  Pharmaceutics       Date:  2021-06-04       Impact factor: 6.321

  8 in total

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