Literature DB >> 9327436

A population growth model of dissolution.

A Dokoumetzidis1, P Macheras.   

Abstract

PURPOSE: To develop a new approach for describing drug dissolution which does not require the presuppositions of time continuity and Fick's law of diffusion and which can be applied to both homogeneous and heterogeneous media.
METHODS: The mass dissolved is considered to be a function of a discrete time index specifying successive "generations" (n). The recurrence equation: phi n + 1 = phi n + r(1 - phi n)(1 - phi n X0/theta) was derived for the fractions of dose dissolved phi n and phi n+1, between generations n and n + 1, where r is a dimensionless proportionality constant, X0 is the dose and theta is the amount of drug corresponding to the drug's solubility in the dissolution medium.
RESULTS: The equation has two steady state solutions, phi ss = 1 when (X0/theta) < or = 1 and phi ss = theta/X0 when (X0/theta) > 1 and the usual behavior encountered in dissolution studies, i.e, a monotonic exponential increase of phi n reaching asymptotically the steady state when either r < theta/X0 < 1 or r < 1 < theta/X0. Good fits were obtained when the model equation was applied to danazol data after appropriate transformation of the time scale to "generations". The dissolution process is controlled by the two dimensionless parameters theta/X0 and r, which were found to be analogous to the fundamental parameters dose and dissolution number, respectively. The model was also used for the prediction of fraction of dose absorbed for highly permeable drugs.
CONCLUSIONS: The model does not rely on diffusion principles and therefore it can be applied under both homogeneous and non-homogeneous conditions. This feature will facilitate the correlation of in vitro dissolution data obtained under homogeneous conditions and in vivo observations adhering to the heterogeneous milieu of the GI tract.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9327436     DOI: 10.1023/a:1012182102257

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


  10 in total

Review 1.  Transport approaches to the biopharmaceutical design of oral drug delivery systems: prediction of intestinal absorption.

Authors:  L X Yu; E Lipka; J R Crison; G L Amidon
Journal:  Adv Drug Deliv Rev       Date:  1996-06-12       Impact factor: 15.470

2.  EFFECT OF CERTAIN TABLET FORMULATION FACTORS ON DISSOLUTION RATE OF THE ACTIVE INGREDIENT. I. IMPORTANCE OF USING APPROPRIATE AGITATION INTENSITIES FOR IN VITRO DISSOLUTION RATE MEASUREMENTS TO REFLECT IN VIVO CONDITIONS.

Authors:  G LEVY
Journal:  J Pharm Sci       Date:  1963-11       Impact factor: 3.534

3.  Novel approach to the analysis of in vitro-in vivo relationships.

Authors:  J E Polli; J R Crison; G L Amidon
Journal:  J Pharm Sci       Date:  1996-07       Impact factor: 3.534

4.  Simple mathematical models with very complicated dynamics.

Authors:  R M May
Journal:  Nature       Date:  1976-06-10       Impact factor: 49.962

5.  Transit of pharmaceutical dosage forms through the small intestine.

Authors:  S S Davis; J G Hardy; J W Fara
Journal:  Gut       Date:  1986-08       Impact factor: 23.059

6.  Bioavailability od digoxin.

Authors:  E J Fraser; R H Leach; J W Poston
Journal:  Lancet       Date:  1972-09-09       Impact factor: 79.321

7.  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

8.  A cellular automata model of dissolution.

Authors:  L B Kier; C K Cheng
Journal:  Pharm Res       Date:  1995-10       Impact factor: 4.200

9.  Dissolution and bioavailability of digoxin tablets.

Authors:  E J Fraser; R H Leach; J W Poston; A M Bold; L S Culank; A B Lipede
Journal:  J Pharm Pharmacol       Date:  1973-12       Impact factor: 3.765

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

  10 in total
  5 in total

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

Authors:  P Lánský; M Weiss
Journal:  Pharm Res       Date:  1999-09       Impact factor: 4.200

Review 2.  Nonlinear dynamics and chaos theory: concepts and applications relevant to pharmacodynamics.

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

3.  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

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.  Mathematical Models to Explore Potential Effects of Supersaturation and Precipitation on Oral Bioavailability of Poorly Soluble Drugs.

Authors:  Mary S Kleppe; Kelly M Forney-Stevens; Roy J Haskell; Robin H Bogner
Journal:  AAPS J       Date:  2015-04-08       Impact factor: 4.009

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.