Literature DB >> 3958917

Mixing-tank model for predicting dissolution rate control or oral absorption.

J B Dressman, D Fleisher.   

Abstract

A mixing-tank model is used to simulate GI absorption of nonionized drugs. The model is useful for predicting circumstances under which dissolution rate dominates membrane transport and transit rate, thus limiting the extent of absorption. The model is developed from mass balance considerations in which the nonsink dissolution term is a function of the remaining surface area and the concentration gradient across the boundary layer. Other dissolution parameters include initial particle radius, dose, diffusivity, density, and boundary-layer thickness. Readily calculable estimators for the general solution of the model are derived and their ranges of usefulness are discussed. Drug examples chosen for simulation are griseofulvin and digoxin. The model correctly predicts bioavailability as a function of particle size for both of these poorly soluble drugs.

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Year:  1986        PMID: 3958917     DOI: 10.1002/jps.2600750202

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


  28 in total

1.  A heterogeneous tube model of intestinal drug absorption based on probabilistic concepts.

Authors:  A Kalampokis; P Argyrakis; P Macheras
Journal:  Pharm Res       Date:  1999-11       Impact factor: 4.200

Review 2.  Drug, meal and formulation interactions influencing drug absorption after oral administration. Clinical implications.

Authors:  D Fleisher; C Li; Y Zhou; L H Pao; A Karim
Journal:  Clin Pharmacokinet       Date:  1999-03       Impact factor: 6.447

3.  The mean dissolution time depends on the dose/solubility ratio.

Authors:  Eleni Rinaki; Aristides Dokoumetzidis; Panos Macheras
Journal:  Pharm Res       Date:  2003-03       Impact factor: 4.200

4.  Rate-limited steps of human oral absorption and QSAR studies.

Authors:  Yuan H Zhao; Michael H Abraham; Joelle Le; Anne Hersey; Chris N Luscombe; Gordon Beck; Brad Sherborne; Ian Cooper
Journal:  Pharm Res       Date:  2002-10       Impact factor: 4.200

5.  Quantitative biopharmaceutics classification system: the central role of dose/solubility ratio.

Authors:  Eleni Rinaki; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2003-12       Impact factor: 4.200

Review 6.  Mechanistic approaches to predicting oral drug absorption.

Authors:  Weili Huang; Sau Lawrence Lee; Lawrence X Yu
Journal:  AAPS J       Date:  2009-04-21       Impact factor: 4.009

Review 7.  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

8.  The preparation and evaluation of water-soluble SKLB610 nanosuspensions with improved bioavailability.

Authors:  Yunchuang Huang; Xun Luo; Xinyu You; Yong Xia; Xuejiao Song; Luoting Yu
Journal:  AAPS PharmSciTech       Date:  2013-08-10       Impact factor: 3.246

Review 9.  Towards quantitative prediction of oral drug absorption.

Authors:  Jennifer B Dressman; Kirstin Thelen; Ekarat Jantratid
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

10.  A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability.

Authors:  G L Amidon; H Lennernäs; V P Shah; J R Crison
Journal:  Pharm Res       Date:  1995-03       Impact factor: 4.200

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