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Mathematical Medicine and Biology Advance Access published online on March 24, 2009

Mathematical Medicine and Biology, doi:10.1093/imammb/dqp004
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© The author 2009. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Importance of Taylor dispersion in pharmacokinetic and multiple indicator dilution modelling

Marissa S. Fallon, Brett A. Howell and Anuj Chauhan{dagger}

Department of Chemical Engineering, PO Box 116005, University of Florida, Gainesville, FL 32611, USA

{dagger} Email: chauhan{at}che.ufl.edu

Received on October 30, 2007. Revised on September 11, 2008. Accepted on February 10, 2009.

Mass transfer in tissues is typically studied by multiple indicator dilution (MID) studies. Several of these studies have shown that drug concentrations can be modelled by axially distributed models. In this paper, we determine the Taylor dispersion coefficient that describes the degree of axial mixing for the MID models, while accounting for the presence of red blood cells in the capillaries. The capillaries are treated as well mixed with no radial concentration gradients. The concentration in tissue is treated as position and time dependent and the partial differential equations for mass transport are averaged using the method of multiple timescales. The calculated values of the dispersion coefficient are in reasonable agreement with the values reported in literature, suggesting that Taylor dispersion is an important contributor to dispersion in tissues. We also show that the average equations for the barrier-limited drugs reduce to the commonly used Sangren–Sheppard model. In this case, Taylor dispersion is not significant in comparison to the dispersion caused by drug exchange between the capillary and the tissue. Additionally, we utilize the average equations for both flow-limited and barrier-limited drugs in pharmacokinetic models. These simulations show that neglecting the dispersion coefficient could cause significant effects in the dynamic drug concentration profiles and thus lead to incorrect estimation of parameters if the experimental data from MID studies are fitted to a model that neglects Taylor dispersion.

Keywords: Taylor dispersion; pharmacokinetic model; well mixed; dispersion coefficient; flow limited; barrier limited


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