Literature DB >> 17828749

Theoretical dissolution model of poly-disperse drug particles in biorelevant media.

Arimichi Okazaki1, Takashi Mano, Kiyohiko Sugano.   

Abstract

The purpose of the present study was to construct the theoretical dissolution model of poly-disperse drug particles in biorelevant media containing bile salt/ lecithin aggregates (micelles or vesicles). The effective diffusion coefficient in the biorelevant medium and the particle size distribution of drug particles were simultaneously factored into the Nernst-Brunner equation. The effective diffusion coefficient of a drug in the biorelevant medium was calculated to be smaller than that in the blank buffer, since the diffusion coefficient of a drug bound to the aggregates became similar to that of the aggregates. The particle size distribution of a drug powder was simulated as the sum of mono-disperse fractions covering the particle size range. To verify the modified equation, the dissolution profile of griseofulvin and danazol in a taurocholic acid/egg lecithin (4:1 mixture, taurocholic acid = 0-30 mM) system was investigated. It was clearly demonstrated that both modifications on the Nernst-Brunner equation improved the prediction accuracy. When the effect of the particle size distribution was neglected, the theoretical curve underestimated the observed value at the early phase of dissolution process. When the diffusion coefficient of a free drug was used instead of the effective diffusion coefficient, the theoretical curve overestimated the observed value. The results of the present study suggested that the effect of the particle size distribution and the effective diffusion coefficient should be taken into consideration.

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Year:  2008        PMID: 17828749     DOI: 10.1002/jps.21070

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


  13 in total

1.  Predicting the effect of fed-state intestinal contents on drug dissolution.

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Journal:  Pharm Res       Date:  2010-10-21       Impact factor: 4.200

Review 2.  Understanding the effect of API properties on bioavailability through absorption modeling.

Authors:  Filippos Kesisoglou; Yunhui Wu
Journal:  AAPS J       Date:  2008-11-06       Impact factor: 4.009

3.  Powder dissolution method for estimating rotating disk intrinsic dissolution rates of low solubility drugs.

Authors:  Konstantin Tsinman; Alex Avdeef; Oksana Tsinman; Dmytro Voloboy
Journal:  Pharm Res       Date:  2009-06-19       Impact factor: 4.200

4.  Rate-limiting steps of oral absorption for poorly water-soluble drugs in dogs; prediction from a miniscale dissolution test and a physiologically-based computer simulation.

Authors:  Ryusuke Takano; Kentaro Furumoto; Koji Shiraki; Noriyuki Takata; Yoshiki Hayashi; Yoshinori Aso; Shinji Yamashita
Journal:  Pharm Res       Date:  2008-06-17       Impact factor: 4.200

5.  Dissolution testing of powders for inhalation: influence of particle deposition and modeling of dissolution profiles.

Authors:  Sabine May; Birte Jensen; Claudius Weiler; Markus Wolkenhauer; Marc Schneider; Claus-Michael Lehr
Journal:  Pharm Res       Date:  2014-05-23       Impact factor: 4.200

6.  Prediction of Oral Drug Absorption in Rats from In Vitro Data.

Authors:  Yoshiyuki Akiyama; Naoya Matsumura; Asami Ono; Shun Hayashi; Satoko Funaki; Naomi Tamura; Takahiro Kimoto; Maiko Jiko; Yuka Haruna; Akiko Sarashina; Masahiro Ishida; Kotaro Nishiyama; Masahiro Fushimi; Yukiko Kojima; Takuya Fujita; Kiyohiko Sugano
Journal:  Pharm Res       Date:  2022-02-15       Impact factor: 4.200

Review 7.  Lipid-associated oral delivery: Mechanisms and analysis of oral absorption enhancement.

Authors:  Oljora Rezhdo; Lauren Speciner; Rebecca Carrier
Journal:  J Control Release       Date:  2016-08-09       Impact factor: 9.776

Review 8.  Predicting pharmacokinetics of drugs using physiologically based modeling--application to food effects.

Authors:  N Parrott; V Lukacova; G Fraczkiewicz; M B Bolger
Journal:  AAPS J       Date:  2009-01-29       Impact factor: 4.009

Review 9.  Population-based mechanistic prediction of oral drug absorption.

Authors:  Masoud Jamei; David Turner; Jiansong Yang; Sibylle Neuhoff; Sebastian Polak; Amin Rostami-Hodjegan; Geoffrey Tucker
Journal:  AAPS J       Date:  2009-04-21       Impact factor: 4.009

10.  Development of a Novel Simplified PBPK Absorption Model to Explain the Higher Relative Bioavailability of the OROS® Formulation of Oxybutynin.

Authors:  Andrés Olivares-Morales; Avijit Ghosh; Leon Aarons; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-09-08       Impact factor: 4.009

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