Literature DB >> 8456075

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

D M Oh1, R L Curl, G L Amidon.   

Abstract

A microscopic mass balance approach has been developed to predict the fraction dose absorbed of suspensions of poorly soluble compounds. The mathematical model includes four fundamental dimensionless parameters to estimate the fraction dose absorbed: initial saturation (Is), absorption number (An), dose number (Do), and dissolution number (Dn). The fraction dose absorbed (F) increases with increasing Is, An, and Dn and with decreasing Do. At higher Dn and lower Do, the fraction dose absorbed reaches the maximal F, which depends only on An. The dissolution number limit on F can appear at both lower Do and lower Dn. Likewise, at higher Do and Dn, the fraction dose absorbed reaches a Do limit. Initial saturation makes a significant difference in F at lower Do and Dn. It is shown that the extent of drug absorption is expected to be highly variable when Dn and Do are approximately one. Furthermore, by calculating these dimensionless groups for a given compound, a formulation scientist can estimate not only the extent of drug absorption but also the effect, if any, of particle size reduction on the extent of drug absorption.

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Year:  1993        PMID: 8456075     DOI: 10.1023/a:1018947113238

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


  7 in total

1.  Dissolution rates of finely divided drug powders. I. Effect of a distribution of particle sizes in a diffusion-controlled process.

Authors:  W I HIGUCHI; E N HIESTAND
Journal:  J Pharm Sci       Date:  1963-01       Impact factor: 3.534

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

Authors:  J B Dressman; D Fleisher
Journal:  J Pharm Sci       Date:  1986-02       Impact factor: 3.534

3.  Physicochemical model for dose-dependent drug absorption.

Authors:  J B Dressman; D Fleisher; G L Amidon
Journal:  J Pharm Sci       Date:  1984-09       Impact factor: 3.534

4.  Absorption potential: estimating the fraction absorbed for orally administered compounds.

Authors:  J B Dressman; G L Amidon; D Fleisher
Journal:  J Pharm Sci       Date:  1985-05       Impact factor: 3.534

5.  A mathematical model of drug absorption.

Authors:  B C Goodacre; P J Murray
Journal:  J Clin Hosp Pharm       Date:  1981-06

6.  Estimating human oral fraction dose absorbed: a correlation using rat intestinal membrane permeability for passive and carrier-mediated compounds.

Authors:  G L Amidon; P J Sinko; D Fleisher
Journal:  Pharm Res       Date:  1988-10       Impact factor: 4.200

7.  Predicting fraction dose absorbed in humans using a macroscopic mass balance approach.

Authors:  P J Sinko; G D Leesman; G L Amidon
Journal:  Pharm Res       Date:  1991-08       Impact factor: 4.200

  7 in total
  34 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

2.  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

3.  Dissolution testing as a prognostic tool for oral drug absorption: dissolution behavior of glibenclamide.

Authors:  R Löbenberg; J Krämer; V P Shah; G L Amidon; J B Dressman
Journal:  Pharm Res       Date:  2000-04       Impact factor: 4.200

4.  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

5.  Elucidating the role of dose in the biopharmaceutics classification of drugs: the concepts of critical dose, effective in vivo solubility, and dose-dependent BCS.

Authors:  Georgia Charkoftaki; Aristides Dokoumetzidis; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2012-07-04       Impact factor: 4.200

6.  Predicting the effect of fed-state intestinal contents on drug dissolution.

Authors:  Ece Dilber Gamsiz; Mukul Ashtikar; John Crison; Walt Woltosz; Michael B Bolger; Rebecca Lyn Carrier
Journal:  Pharm Res       Date:  2010-10-21       Impact factor: 4.200

7.  Design of Potent and Orally Active GPR119 Agonists for the Treatment of Type II Diabetes.

Authors:  Ping Liu; Zhiyong Hu; Byron G DuBois; Christopher R Moyes; David N Hunter; Cheng Zhu; Nam Fung Kar; Yuping Zhu; Joie Garfunkle; Ling Kang; Gary Chicchi; Anka Ehrhardt; Andrea Woods; Toru Seo; Morgan Woods; Margaret van Heek; Karen H Dingley; Jianmei Pang; Gino M Salituro; Joyce Powell; Jenna L Terebetski; Viktor Hornak; Louis-Charles Campeau; Joe Lamberson; Fez Ujjainwalla; Michael Miller; Andrew Stamford; Harold B Wood; Timothy Kowalski; Ravi P Nargund; Scott D Edmondson
Journal:  ACS Med Chem Lett       Date:  2015-07-10       Impact factor: 4.345

8.  Identification of biowaivers among Class II drugs: theoretical justification and practical examples.

Authors:  Eleni Rinaki; Aristides Dokoumetzidis; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2004-09       Impact factor: 4.200

9.  Predicting effect of food on extent of drug absorption based on physicochemical properties.

Authors:  Chong-Hui Gu; Hua Li; Jaquan Levons; Kimberley Lentz; Rajesh B Gandhi; Krishnaswamy Raghavan; Ronald L Smith
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

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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