Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Diffusion

Diffusion

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...

Diffusion

Diffusion

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...

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

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...

Passive Diffusion: Overview and Kinetics

Passive Diffusion: Overview and Kinetics

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.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting their diffusion into...

Protein Diffusion in the Membrane

Protein Diffusion in the Membrane

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...

Carrier Transport

Carrier Transport

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:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Ingestion of <i>Lactobacillus helveticus</i> WHH1889 improves depressive and anxiety symptoms induced by chronic unpredictable mild stress in mice.

Beneficial microbes·2022

Same author

Latent Defect in Haematopoiesis of UBC-GFP Mice Sheds Light on the Lymphoid Developmental Potential of Haematopoietic Stem Cells.

Folia biologica·2022

Same author

The relationship between famine exposure in early life and left atrial enlargement in adulthood.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association·2020

Same author

Impact of denosumab on cardiovascular calcification in patients with secondary hyperparathyroidism undergoing dialysis: a pilot study.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2020

Same author

Catamenial hemoptysis.

QJM : monthly journal of the Association of Physicians·2020

Same author

First Report of a 16SrII-A Subgroup Phytoplasma Associated with Purple Coneflower (Echinacea purpurea) Witches'-Broom Disease in Taiwan.

Plant disease·2019

Search research articles

Related Experiment Video

Updated: Jul 3, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Diffusion trapping times and dynamic percolation in an Ising system.

C-L Chen¹, Y Shapir, E H Chimowitz

¹Department of Physics and Astronomy, University of Rochester, New York 14627, USA.

The Journal of Chemical Physics

|July 16, 2008

Summary

We developed a new model for diffusion in dynamic networks, considering both cluster transport and self-diffusion. Our findings reveal universal scaling behavior, applicable to various physical systems with dynamic disorder.

More Related Videos

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Related Experiment Videos

Last Updated: Jul 3, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Area of Science:

Physics
Statistical Mechanics
Network Science

Background:

Diffusion in complex networks is crucial for understanding physical phenomena.
Previous models often simplified network dynamics, particularly at finite temperatures.
Dynamic Ising network structures present unique challenges due to correlated cluster behavior.

Purpose of the Study:

To model diffusion in dynamic Ising networks considering both cluster transport and self-diffusion.
To develop a novel heuristic scaling analysis for this dynamic system.
To investigate universal scaling behavior across different temperature conditions.

Main Methods:

Utilized random walkers (RWs) to simulate diffusion processes.
Partitioned RW displacements into contributions from cluster transport and self-diffusion.
Developed a new scaling exponent, theta(z), to analyze RW trapping time near dynamic percolation.
Conducted simulations in two-dimensional networks.

Main Results:

The proposed model captures diffusion by accounting for correlated cluster dynamics at finite temperatures.
The heuristic scaling analysis with theta(z) = 2 successfully describes universal behavior.
Observed consistent scaling across both random percolation (infinite temperature) and finite temperature conditions.

Conclusions:

The developed model provides a more realistic approach to diffusion in dynamic disordered systems.
The heuristic scaling analysis offers a powerful tool for studying transport phenomena.
This work has implications for understanding transport in various physical systems exhibiting dynamic disorder.