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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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The Diffusion of Passive Tracers in Laminar Shear Flow
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Minimal Reaction-Diffusion Model of Micromixing during Stopped-Flow Experiments.

Tamás Ditrói1, Gábor Lente2

  • 1Department of Molecular Immunology and Toxicology , National Institute of Oncology , Budapest 1122 , Hungary.

The Journal of Physical Chemistry. A
|June 7, 2018
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Summary
This summary is machine-generated.

Micromixing effects in stopped-flow instruments were simulated using reaction-diffusion equations. Mixing efficiency, not dead time, is the key factor limiting instrument performance.

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Area of Science:

  • Chemical Kinetics
  • Fluid Dynamics
  • Computational Chemistry

Background:

  • Stopped-flow instruments are crucial for studying fast reactions.
  • Micromixing effects can influence observed reaction kinetics.
  • Understanding these effects is vital for accurate kinetic data.

Purpose of the Study:

  • To investigate the origin of micromixing effects in stopped-flow experiments.
  • To simulate kinetic curves using reaction-diffusion equations.
  • To determine the primary limiting factor in stopped-flow instrument performance.

Main Methods:

  • Simulated kinetic curves using the reaction-diffusion equation.
  • Solved partial differential equations numerically and analytically via Fourier series.
  • Obtained analytical solutions for diffusion-only and diffusion-reaction cases.

Main Results:

  • Analytical approximations for diffusion-reaction cases were found to be reasonable.
  • Simulations reproduced the saturation of pseudo-first-order rate constants.
  • Mixing efficiency was identified as the primary performance limitation.

Conclusions:

  • Micromixing efficiency is more critical than dead time for stopped-flow instruments.
  • Further improvements in instrument performance depend on enhancing mixing.
  • The reaction-diffusion model accurately captures key experimental observations.