Literature DB >> 12884250

Classification of dissolution profiles in terms of fractional dissolution rate and a novel measure of heterogeneity.

Petr Lánský1, Michael Weiss.   

Abstract

Dissolution profiles are classified in accordance with the shape of fractional dissolution rate function. This function is constant in time for the classical first-order model and, in this case, the dissolution is described by a monoexponential function. Therefore, any deviation of the fractional dissolution rate from the constant level suggests the presence of different (nonlinear/nonhomogenous) mechanisms in the dissolution process. The shapes of the fractional dissolution rate depend on the type of the model of dissolution; thus, classification with respect to this function is proposed as a tool for model selection. The Kullback-Leibler information distance is proposed for measuring similarity between two different drug dissolution profiles. The method is applied mainly to compare the first-order model, which characterizes a homogenous dosage form, with other common descriptors of dissolution and with experimental data. Copyright 2003 Wiley-Liss, Inc.

Mesh:

Year:  2003        PMID: 12884250     DOI: 10.1002/jps.10419

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  6 in total

1.  Analysis of dissolution data using modified versions of Noyes-Whitney equation and the Weibull function.

Authors:  Aristides Dokoumetzidis; Vasiliki Papadopoulou; Panos Macheras
Journal:  Pharm Res       Date:  2006-01-25       Impact factor: 4.200

Review 2.  Advanced pharmacokinetic models based on organ clearance, circulatory, and fractal concepts.

Authors:  K Sandy Pang; Michael Weiss; Panos Macheras
Journal:  AAPS J       Date:  2007-06-29       Impact factor: 4.009

3.  A note on population analysis of dissolution-absorption models using the inverse Gaussian function.

Authors:  Jian Wang; Michael Weiss; David Z D'Argenio
Journal:  J Clin Pharmacol       Date:  2008-03-21       Impact factor: 3.126

4.  Empirical models for fitting of oral concentration time curves with and without an intravenous reference.

Authors:  Michael Weiss
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-02-01       Impact factor: 2.745

5.  Application of the convection-dispersion equation to modelling oral drug absorption.

Authors:  Jan I Freijer; Teun M Post; Bart A Ploeger; Joost DeJongh; Meindert Danhof
Journal:  Bull Math Biol       Date:  2006-10-06       Impact factor: 1.758

6.  Cyclodextrin-crosslinked poly(acrylic acid): adhesion and controlled release of diflunisal and fluconazole from solid dosage forms.

Authors:  Marguerite J Kutyła; Michael W Boehm; Jason R Stokes; P Nicholas Shaw; Nigel M Davies; Ross P McGeary; Jonathan Tuke; Benjamin P Ross
Journal:  AAPS PharmSciTech       Date:  2013-01-11       Impact factor: 3.246

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.