Estimating the fraction dose absorbed from suspensions of poorly soluble compounds in humans: a mathematical model
- PMID: 8456075
- DOI: 10.1023/a:1018947113238
Estimating the fraction dose absorbed from suspensions of poorly soluble compounds in humans: a mathematical model
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.
Similar articles
-
Identification of biowaivers among Class II drugs: theoretical justification and practical examples.Pharm Res. 2004 Sep;21(9):1567-72. doi: 10.1023/b:pham.0000041450.25106.c8. Pharm Res. 2004. PMID: 15497681
-
Predicting fraction dose absorbed in humans using a macroscopic mass balance approach.Pharm Res. 1991 Aug;8(8):979-88. doi: 10.1023/a:1015892621261. Pharm Res. 1991. PMID: 1924168
-
In silico predictions of gastrointestinal drug absorption in pharmaceutical product development: application of the mechanistic absorption model GI-Sim.Eur J Pharm Sci. 2013 Jul 16;49(4):679-98. doi: 10.1016/j.ejps.2013.05.019. Epub 2013 May 29. Eur J Pharm Sci. 2013. PMID: 23727464
-
Prediction of human pharmacokinetics--gastrointestinal absorption.J Pharm Pharmacol. 2007 Jul;59(7):905-16. doi: 10.1211/jpp.59.7.0001. J Pharm Pharmacol. 2007. PMID: 17637184 Review.
-
In vitro testing of drug absorption for drug 'developability' assessment: forming an interface between in vitro preclinical data and clinical outcome.Curr Opin Drug Discov Devel. 2004 Jan;7(1):75-85. Curr Opin Drug Discov Devel. 2004. PMID: 14982151 Review.
Cited by
-
Computational models to assign biopharmaceutics drug disposition classification from molecular structure.Pharm Res. 2007 Dec;24(12):2249-62. doi: 10.1007/s11095-007-9435-9. Epub 2007 Sep 11. Pharm Res. 2007. PMID: 17846869
-
Evaluation of a generic physiologically based pharmacokinetic model for lineshape analysis.Clin Pharmacokinet. 2008;47(4):261-75. doi: 10.2165/00003088-200847040-00004. Clin Pharmacokinet. 2008. PMID: 18336055
-
Does the dose-solubility ratio affect the mean dissolution time of drugs?Pharm Res. 1999 Sep;16(9):1470-6. doi: 10.1023/a:1018923714107. Pharm Res. 1999. PMID: 10496667
-
Identification of biowaivers among Class II drugs: theoretical justification and practical examples.Pharm Res. 2004 Sep;21(9):1567-72. doi: 10.1023/b:pham.0000041450.25106.c8. Pharm Res. 2004. PMID: 15497681
-
Cocrystal Solubility Advantage Diagrams as a Means to Control Dissolution, Supersaturation, and Precipitation.Mol Pharm. 2019 Sep 3;16(9):3887-3895. doi: 10.1021/acs.molpharmaceut.9b00501. Epub 2019 Jul 31. Mol Pharm. 2019. PMID: 31318567 Free PMC article.
References
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources