Literature DB >> 18523873

A modified approach to predict dissolution and absorption of polydisperse powders.

John C Butcher1, Sanjay Garg, Dawoomi Kim, Puneet Sharma.   

Abstract

PURPOSE: Particle size of a drug is an important factor that affects thermodynamic solubility and oral absorption of drug molecules. Weight fraction of different particle sizes in a polydisperse powder together with Noyes Whitney parameters (diffusion coefficient, solubility, density of the drug, boundary layer thickness and dissolution volume) can be used to predict dissolution and absorption of drug molecules. Such a simulation can be a valuable tool in setting up guidance with regards to dependence of dissolution and absorption on particle size.
MATERIALS AND METHODS: In this note a modified method is reported to predict dissolution of polydisperse drug powder. These use simplified equations developed from a set of differential equations described previously. The idea was to convert all the terms in one single equation which can then be solved by a Matlab program.
CONCLUSION: Discrepancies not reported earlier have been discussed to get the same results as reported previously.

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Year:  2008        PMID: 18523873     DOI: 10.1007/s11095-008-9630-3

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  7 in total

Review 1.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Authors:  C A Lipinski; F Lombardo; B W Dominy; P J Feeney
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

2.  Dissolution and absorption modeling: model expansion to simulate the effects of precipitation, water absorption, longitudinally changing intestinal permeability, and controlled release on drug absorption.

Authors:  Kevin C Johnson
Journal:  Drug Dev Ind Pharm       Date:  2003-09       Impact factor: 3.225

Review 3.  Nanosuspensions: a promising drug delivery strategy.

Authors:  V B Patravale; Abhijit A Date; R M Kulkarni
Journal:  J Pharm Pharmacol       Date:  2004-07       Impact factor: 3.765

Review 4.  Biopharmaceutic classification system: a scientific framework for pharmacokinetic optimization in drug research.

Authors:  Manthena V S Varma; Sateesh Khandavilli; Yasvanth Ashokraj; Amit Jain; Anandbabu Dhanikula; Anurag Sood; Narisetty S Thomas; Omathanu Pillai; Pradeep Sharma; Rajesh Gandhi; Shrutidevi Agrawal; Vinod Nair; Ramesh Panchagnula
Journal:  Curr Drug Metab       Date:  2004-10       Impact factor: 3.731

5.  A new approach in the prediction of the dissolution behavior of suspended particles by means of their particle size distribution.

Authors:  A P Tinke; K Vanhoutte; R De Maesschalck; S Verheyen; H De Winter
Journal:  J Pharm Biomed Anal       Date:  2005-07-14       Impact factor: 3.935

6.  Guidance in the setting of drug particle size specifications to minimize variability in absorption.

Authors:  K C Johnson; A C Swindell
Journal:  Pharm Res       Date:  1996-12       Impact factor: 4.200

7.  Dissolution modeling: factors affecting the dissolution rates of polydisperse powders.

Authors:  A T Lu; M E Frisella; K C Johnson
Journal:  Pharm Res       Date:  1993-09       Impact factor: 4.200

  7 in total
  2 in total

Review 1.  Polymeric micelles and alternative nanonized delivery vehicles for poorly soluble drugs.

Authors:  Ying Lu; Kinam Park
Journal:  Int J Pharm       Date:  2012-08-25       Impact factor: 5.875

2.  Development and evaluation of transferrin-stabilized paclitaxel nanocrystal formulation.

Authors:  Ying Lu; Zhao-hui Wang; Tonglei Li; Helen McNally; Kinam Park; Michael Sturek
Journal:  J Control Release       Date:  2013-12-27       Impact factor: 9.776

  2 in total

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