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Diffusion01:21

Diffusion

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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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Diffusion01:12

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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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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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Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
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External respiration occurs in the lungs, and it is the first step in the journey of oxygen inside the body. When we inhale, oxygen enters our lungs and diffuses across the thin alveolar membrane. The alveoli are tiny, air-filled sacs that provide a vast surface area for gas exchange. Oxygen in the alveoli has a higher partial pressure (105 mmHg) than in the adjacent pulmonary capillaries (40 mmHg), establishing a pressure gradient. As a result, oxygen molecules move from the alveoli into the...
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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
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Diffusion in a crowded environment.

Duccio Fanelli1, Alan J McKane

  • 1Dipartimento di Energetica, University of Florence, INFN, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2010
PubMed
Summary
This summary is machine-generated.

This study reveals anomalous diffusion in particle systems, deviating from standard models due to resource depletion. The findings offer a new dynamical framework for understanding complex physical and biological phenomena.

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Area of Science:

  • Statistical physics
  • Mathematical modeling
  • Complex systems

Background:

  • Conventional diffusion models (Fickian) assume simple particle movement.
  • Microscopic stochastic models offer detailed insights into particle behavior.
  • Understanding deviations from Fickian diffusion is crucial for complex systems.

Purpose of the Study:

  • To analyze diffusion equations derived from a microscopic stochastic model.
  • To investigate deviations from Fickian diffusion and their causes.
  • To develop a dynamical picture for anomalous diffusion.

Main Methods:

  • Derivation of macroscopic diffusion equations from a microscopic model.
  • Analytical and numerical study of the derived equations.
  • Investigation of deviations from conventional diffusion behavior.

Main Results:

  • Identified deviations from the Fickian diffusion picture.
  • Linked these deviations to resource depletion in the system.
  • Observed anomalous diffusion that does not follow a power law with time.

Conclusions:

  • The study provides a consistent dynamical picture for anomalous diffusion.
  • Resource depletion is a key factor causing deviations from Fickian diffusion.
  • The findings are applicable to diverse physical and biological systems, emphasizing systematic analysis for predictions.