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Diffusion01:12

Diffusion

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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion01:21

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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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 alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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The relative amounts of reactants and products represented in a balanced chemical equation are often referred to as stoichiometric amounts. However, in reality, the reactants are not always present in the stoichiometric amounts indicated by the balanced equation.
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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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Point-particle method to compute diffusion-limited cellular uptake.

A Sozza1, F Piazza2, M Cencini3

  • 1Department of Physics, Università di Torino & INFN, via P. Giuria 1, 10125 Torino, Italy.

Physical Review. E
|March 18, 2018
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Summary
This summary is machine-generated.

We developed an efficient computational method to simulate cellular uptake by modeling absorbing particles. This approach accurately captures complex diffusion interactions and can be extended to include fluid dynamics for broader applications.

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Area of Science:

  • Computational physics and chemistry
  • Biophysics and biochemical engineering

Background:

  • Reaction-diffusion processes are fundamental to cellular uptake and biochemical reactions.
  • Simulating diffusion-limited absorption by particles, like cellular uptake, is computationally challenging.

Purpose of the Study:

  • To introduce an efficient point-particle simulation method for reaction-diffusion processes.
  • To model cellular uptake by spherical absorbing particles in the diffusion-limited regime.
  • To calibrate the numerical method using exact solutions for single absorbers.

Main Methods:

  • Developed an efficient point-particle approach calibrated against exact solutions.
  • Simulated multiple absorbers with increasing complexity to validate performance.
  • Implemented the method within a pseudospectral solver, extensible to fluid motion.

Main Results:

  • The method accurately links numerical parameters to physical properties like particle radius and uptake rate.
  • Demonstrated the ability to resolve complex diffusive interactions, quantified by the Sherwood number.
  • Successfully simulated uptake rate in a linear shear flow as a test case.

Conclusions:

  • The point-particle approach is a powerful and flexible tool for simulating reaction-diffusion systems.
  • The method can be generalized to include fluid dynamics, enhancing its applicability.
  • Enables investigation of complex biological and chemical phenomena, including cellular uptake and transport.