Literature DB >> 10585235

Notes on the inverse Gaussian distribution and choice of boundary conditions for the dispersion model in the analysis of local pharmacokinetics.

A Hisaka1, Y Sugiyama.   

Abstract

The dispersion model has been widely used to analyze local pharmacokinetics in the organs and the tissues since the 1980's. However, an ambiguity still remains in selecting the boundary conditions which are necessary to solve the basic equation of the model. In this note, theoretical considerations are given to this problem and we present here some deficiencies of the mixed boundary conditions. It seems that theoretical confusion exists in the literature for the mixed boundary conditions. It is well-known that the solution of the dispersion model with a bolus input is the inverse Gaussian distribution for the mixed boundary conditions. However, it is rarely recognized that the inverse Gaussian distribution requires an open boundary at either the inlet or the outlet. For the analysis of local pharmacokinetics, the use of the classical Danckwerts (or closed) boundary conditions is recommended.

Mesh:

Year:  1999        PMID: 10585235     DOI: 10.1021/js9803860

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  4 in total

1.  A compartmental model of hepatic disposition kinetics: 1. Model development and application to linear kinetics.

Authors:  Yuri G Anissimov; Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-04       Impact factor: 2.745

2.  Reassessing models of hepatic extraction.

Authors:  D Ridgway; J A Tuszynski; Y K Tam
Journal:  J Biol Phys       Date:  2003-03       Impact factor: 1.365

3.  Application of the convection-dispersion equation to modelling oral drug absorption.

Authors:  Jan I Freijer; Teun M Post; Bart A Ploeger; Joost DeJongh; Meindert Danhof
Journal:  Bull Math Biol       Date:  2006-10-06       Impact factor: 1.758

4.  Kinetic analysis of the disposition of insulin-like growth factor 1 in healthy volunteers.

Authors:  N Mizuno; Y Kato; M Iwamoto; A Urae; T Amamoto; T Niwa; Y Sugiyama
Journal:  Pharm Res       Date:  2001-08       Impact factor: 4.200

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.