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Related Concept Videos

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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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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Diffusion and Osmosis03:31

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Cell Membranes and Diffusion
In order to function, cells are required to move materials in and out of their cytoplasm via their cell membranes. These membranes are semipermeable, meaning that certain molecules are allowed to pass through, but not others. This movement of molecules is mediated by the phospholipid bilayer and its embedded proteins, some of which act as transport channels for molecules that otherwise would not be able to pass through the membrane, such as ions and carbohydrates.
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Diffusion in Agar
ExpandNOTE: In this exercise, you will be given agar containing an indicator chemical called phenolphthalein. When phenolphthalein is exposed to the normal alkaline conditions in the agar, it will look pink. But when it is exposed to neutral or acidic conditions, it changes from pink to clear. You will make different size and shaped agar cubes as a model for cells to study the impact of cell size and shape on diffusion rate.
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Diffusion and Osmosis02:55

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Preparation of Solutions for the Agar Cube Experiment
ExpandIMPORTANT: Wear gloves, goggles, and appropriate personal protective equipment – chemicals can be hazardous at high concentrations.
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Using Diffusion Tensor Imaging in Traumatic Brain Injury12:28

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Traditional brain imaging techniques using MRI are very good at visualizing the gross structures of the brain. A structural brain image made with MRI provides high contrast of the borders between gray and white matter, and information about the size and shape of brain structures. However, these images do not detail the underlying structure and integrity of white matter networks in the brain, which...
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Related Experiment Video

Updated: Jan 19, 2026

Diffusion in Biological Transport
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Damped White Noise Diffusion with Memory for Diffusing Microprobes in Ageing Fibrin Gels.

Rev R L Aure1, Christopher C Bernido2, M Victoria Carpio-Bernido2

  • 1Medical Biophysics Group, Department of Physics, University of San Carlos, Cebu City, Philippines; Department of Mathematics and Physics, Visayas State University, Baybay City, Leyte, Philippines.

Biophysical Journal
|September 10, 2019
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Summary

Researchers developed a new analytical framework to describe particle movement in aging fibrin gels, moving beyond fractional Brownian motion. This method accurately models anomalous diffusion and reveals a gelation parameter influencing particle dynamics in soft materials.

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Last Updated: Jan 19, 2026

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Area of Science:

  • Soft matter physics
  • Biophysics
  • Statistical mechanics

Background:

  • Fibrin gelation is crucial in biological processes.
  • Understanding particle dynamics in aging soft materials is complex.
  • Anomalous diffusion often deviates from standard Brownian motion.

Purpose of the Study:

  • To introduce an analytical framework for stochastic processes beyond fractional Brownian motion.
  • To characterize the anomalous diffusion of tracer particles in aging fibrin gels.
  • To investigate the role of a gelation parameter in soft material dynamics.

Main Methods:

  • Passive microrheology using videomicroscopy.
  • Analysis of mean square displacements of tracer particles.
  • Application of a white noise functional stochastic approach.

Main Results:

  • Developed a framework matching experimental data for mean square displacements and probability density functions.
  • Described anomalous diffusion using a damped white noise process with memory.
  • Identified a gelation parameter (μ) elucidating constrained particle dynamics.
  • Observed decreased microstructural heterogeneity with increased aging time.

Conclusions:

  • The study provides experimental insights into fibrin gel aging.
  • The proposed white noise functional stochastic approach is applicable to non-Markovian systems.
  • The findings enhance understanding of particle behavior in time-dependent soft materials.