Literature DB >> 10370211

Modeling of supersaturated dissolution data.

G Valsami1, A Dokoumetzidis, P Macheras.   

Abstract

A recursion equation which relies on the population growth model of dissolution is used for the analysis of supersaturated dissolution data. The concentration-time data of dissolution experiments are initially transformed to fractions of dose dissolved-generations by adopting an appropriate time interval as the time step of the recursion equation. A computer program is used to derive estimates for the maximum fraction of dose dissolved and the fraction of dose remaining in solution at steady state. Good fittings were observed when this equation was applied to phenytoin and nifedipine supersaturated dissolution data obtained from literature. Copyright.

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Year:  1999        PMID: 10370211     DOI: 10.1016/s0378-5173(99)00020-4

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  5 in total

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Authors:  A Dokoumetzidis; A Iliadis; P Macheras
Journal:  Pharm Res       Date:  2001-04       Impact factor: 4.200

2.  Modeling heterogeneity of properties and random effects in drug dissolution.

Authors:  P Lánský; M Weiss
Journal:  Pharm Res       Date:  2001-07       Impact factor: 4.200

3.  Monitoring ibuprofen release from multiparticulates: in situ fiber-optic technique versus the HPLC method: a technical note.

Authors:  Vishal Bijlani; Domotiere Yuonayel; Sabitha Katpally; Beatrice Nkem Chukwumezie; Moji Christianah Adeyeye
Journal:  AAPS PharmSciTech       Date:  2007-07-06       Impact factor: 3.246

Review 4.  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

5.  From drug delivery systems to drug release, dissolution, IVIVC, BCS, BDDCS, bioequivalence and biowaivers.

Authors:  Vangelis Karalis; Eleni Magklara; Vinod P Shah; Panos Macheras
Journal:  Pharm Res       Date:  2010-07-16       Impact factor: 4.200

  5 in total

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