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

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

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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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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

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Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
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Carrier Transport01:21

Carrier Transport

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The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
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Three-Compartment Open Model01:06

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Modeling with Differential Equations01:25

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Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
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Related Experiment Video

Updated: Feb 28, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

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Double diffusivity model under stochastic forcing.

Amit K Chattopadhyay1, Elias C Aifantis2

  • 1Mathematics and Aston Institute of Materials Research (AMRI), Aston University, Aston Triangle, Birmingham, B4 7ET, United Kingdom.

Physical Review. E
|June 17, 2017
PubMed
Summary
This summary is machine-generated.

The double diffusivity model, enhanced with stochasticity, now accurately predicts diffusion in nanopolycrystals. This new model bridges the gap between theory and experimental diffusion times in fluctuating environments.

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Chemical Engineering

Background:

  • The double diffusivity model, developed in the 1970s-80s and revived in the 1990s, describes diffusion in materials with distinct high-diffusivity paths like grain boundaries.
  • It uses coupled Fick-type equations to model mass exchange between regular and high diffusivity paths.
  • The model's applications extend to porous media and heat conduction in systems with multiple temperature baths.

Purpose of the Study:

  • To address the limitations of deterministic internal length gradient (ILG) models in predicting diffusion in nanopolycrystals.
  • To incorporate stochasticity into the ILG framework to account for boundary layer fluctuations.
  • To reconcile theoretical predictions with experimental diffusion times in nanostructured materials.

Main Methods:

  • Developed a stochastic internal length gradient (ILG) diffusion model by incorporating boundary layer fluctuations.
  • Applied the model to diffusion problems in nanopolycrystalline materials.
  • Compared theoretical predictions with experimental data to validate the model's accuracy.

Main Results:

  • The stochastic-ILG model accurately predicts diffusion relaxation times in nanopolycrystals, aligning with experimental observations.
  • The inclusion of stochasticity resolves discrepancies between previous deterministic models and experimental diffusion timescales.
  • The study establishes a new generation of gradient-based continuum models that better represent real-world fluctuating environments.

Conclusions:

  • The integration of stochasticity into the ILG model is crucial for accurately describing diffusion in nanostructured materials.
  • This enhanced model provides a more realistic framework for understanding transport phenomena in complex, fluctuating media.
  • The findings benchmark a significant advancement in continuum modeling for materials science and related fields.