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Flow with axial dispersion through a one-region pipe of uniform cross-section. Statistics on inflow and outflow concentration curves */

Model number: 0331

Further reading:     Distributed Blood Tissue Exchange Models Explained Download PDF file.

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The partial differential equation models flow into, through and out of a pipe with plug flow and axial dispersion (diffusion) along the x-axis and instantaneous radial dispersion so that concentration is uniform across the cross-section at each x-position. Consumption,Gp, equivalent to loss by a first order reaction or loss by permeation is a uniform fraction per unit time along the pipe. (This can be modified by making G a function of concentration, Gp(Cp) or of position, Gp(x).) Flow is constant, as are all the other parameters.The boundary conditions are (1) At the inflow, the diffusion coefficient, Dp, cm^2/s, times the spatial gradient in concentration, dC/dx, balances the difference between the inflow concentration and the concentration Cp just inside; (2) At the outflow, the gradient dC/dx is set to zero, as if reflecting from an impermeable surface, so that mass is lost into the outflow only by flow, Cout = Cp(x=L,t). LIMITATIONS: This model cannot approximate Newtonian parabolic flow, where the response to a flow-proportiaonal cross-sectional pulse labeling at the inflow would give a sharp upstroke and peak at 1/2 the mean transit time and then, in the absence of axial dispersion, diminish in proportion to 1/t^2. See Gonzalez-Fernandez (1962) on this point.



     Differential Equations

    Left Boundary Conditions


    Right Boundary Conditions


     Initial Conditions


The equations for this model may also be viewed by running the JSim model applet and clicking on the Source tab at the bottom left of JSim's Run Time graphical user interface. The equations are written in JSim's Mathematical Modeling Language (MML). See the Introduction to MML and the MML Reference Manual. Additional documentation for MML can be found by using the search option at the Physiome home page.

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 W.C. Sangren and C.W. Sheppard.  A mathematical derivation of the
exchange of a labelled substance between a liquid flowing in a
vessel and an external compartment.  Bull Math BioPhys, 15, 387-394,

 Gonzalez-Fernandez JM. Theory of the measurement of the dispersion of
 an indicator in indicator-dilution studies. Circ Res 10: 409-428, 1962.

 C.A. Goresky, W.H. Ziegler, and G.G. Bach. Capillary exchange modeling:  
Barrier-limited and flow-limited distribution. Circ Res 27: 739-764, 1970.

 J.B. Bassingthwaighte. A concurrent flow model for extraction
during transcapillary passage.  Circ Res 35:483-503, 1974.

 B. Guller, T. Yipintsoi, A.L. Orvis, and J.B. Bassingthwaighte. Myocardial 
sodium extraction at varied coronary flows in the dog: Estimation of 
capillary permeability by residue and outflow detection. Circ Res 37: 359-378, 1975.

 C.P. Rose, C.A. Goresky, and G.G. Bach.  The capillary and
sarcolemmal barriers in the heart--an exploration of labelled water
permeability.  Circ Res 41: 515, 1977.

 J.B. Bassingthwaighte, C.Y. Wang, and I.S. Chan.  Blood-tissue
exchange via transport and transformation by endothelial cells.
Circ. Res. 65:997-1020, 1989.

 Poulain CA, Finlayson BA, Bassingthwaighte JB.,Efficient numerical methods 
for nonlinear-facilitated transport and exchange in a blood-tissue exchange 
unit, Ann Biomed Eng. 1997 May-Jun;25(3):547-64. 

Related Models

Blood Tissue Exchange (BTEX) models

Key Terms

BTEX10,PDE,convection,diffusion,permeation,reaction,distributed,capillary, plasma, piston flow or plug flow, statistics, mean transit time, RD, relative dispersion, skewness, kurtosis

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Please cite in any publication for which this software is used and send one reprint to the address given below:
The National Simulation Resource, Director J. B. Bassingthwaighte, Department of Bioengineering, University of Washington, Seattle WA 98195-5061.

[This page was last modified 14Mar18, 3:17 pm.]

Model development and archiving support at provided by the following grants: NIH U01HL122199 Analyzing the Cardiac Power Grid, 09/15/2015 - 05/31/2020, NIH/NIBIB BE08407 Software Integration, JSim and SBW 6/1/09-5/31/13; NIH/NHLBI T15 HL88516-01 Modeling for Heart, Lung and Blood: From Cell to Organ, 4/1/07-3/31/11; NSF BES-0506477 Adaptive Multi-Scale Model Simulation, 8/15/05-7/31/08; NIH/NHLBI R01 HL073598 Core 3: 3D Imaging and Computer Modeling of the Respiratory Tract, 9/1/04-8/31/09; as well as prior support from NIH/NCRR P41 RR01243 Simulation Resource in Circulatory Mass Transport and Exchange, 12/1/1980-11/30/01 and NIH/NIBIB R01 EB001973 JSim: A Simulation Analysis Platform, 3/1/02-2/28/07.