Literature DB >> 10496667

Does the dose-solubility ratio affect the mean dissolution time of drugs?

P Lánský1, M Weiss.   

Abstract

PURPOSE: To present a new model for describing drug dissolution. On the basis of the new model to characterize the dissolution profile by the distribution function of the random dissolution time of a drug molecule, which generalizes the classical first order model.
METHODS: Instead of assuming a constant fractional dissolution rate, as in the classical model, it is considered that the fractional dissolution rate is a decreasing function of the dissolved amount controlled by the dose-solubility ratio. The differential equation derived from this assumption is solved and the distribution measures (half-dissolution time, mean dissolution time, relative dispersion of the dissolution time, dissolution time density, and fractional dissolution rate) are calculated. Finally, instead of monotonically decreasing the fractional dissolution rate, a generalization resulting in zero dissolution rate at time origin is introduced.
RESULTS: The behavior of the model is divided into two regions defined by q, the ratio of the dose to the solubility level: q < 1 (complete dissolution of the dose, dissolution time) and q > 1 (saturation of the solution, saturation time). The singular case q = 1 is also treated and in this situation the mean as well as the relative dispersion of the dissolution time increase to infinity. The model was successfully fitted to data (1).
CONCLUSIONS: This empirical model is descriptive without detailed physical reasoning behind its derivation. According to the model, the mean dissolution time is affected by the dose-solubility ratio. Although this prediction appears to be in accordance with preliminary application, further validation based on more suitable experimental data is required.

Mesh:

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Year:  1999        PMID: 10496667     DOI: 10.1023/a:1018923714107

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


  6 in total

1.  A population growth model of dissolution.

Authors:  A Dokoumetzidis; P Macheras
Journal:  Pharm Res       Date:  1997-09       Impact factor: 4.200

2.  Level A in vivo-in vitro correlation: nonlinear models and statistical methodology.

Authors:  A Dunne; T O'Hara; J Devane
Journal:  J Pharm Sci       Date:  1997-11       Impact factor: 3.534

3.  In-vitro dissolution profile comparison: statistics and analysis, model dependent approach.

Authors:  P M Sathe; Y Tsong; V P Shah
Journal:  Pharm Res       Date:  1996-12       Impact factor: 4.200

4.  Generalizations in linear pharmacokinetics using properties of certain classes of residence time distributions. I. Log-convex drug disposition curves.

Authors:  M Weiss
Journal:  J Pharmacokinet Biopharm       Date:  1986-12

5.  Estimating the fraction dose absorbed from suspensions of poorly soluble compounds in humans: a mathematical model.

Authors:  D M Oh; R L Curl; G L Amidon
Journal:  Pharm Res       Date:  1993-02       Impact factor: 4.200

6.  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

  6 in total
  4 in total

1.  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

2.  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

3.  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 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

  4 in total

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