Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Speciation Rates01:07

Speciation Rates

22.3K
Overview
22.3K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.1K
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...
1.1K
Diffusion01:21

Diffusion

5.9K
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...
5.9K
Diffusion01:12

Diffusion

213.5K
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...
213.5K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

616
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...
616
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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

219
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...
219

You might also read

Related Articles

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

Sort by
Same author

Decoding species coexistence: A reinforcement learning perspective.

Physical review. E·2026
Same author

Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.

PLoS computational biology·2026
Same author

Correction: Ódor et al. Frustrated Synchronization of the Kuramoto Model on Complex Networks. <i>Entropy</i> 2024, <i>26</i>, 1074.

Entropy (Basel, Switzerland)·2026
Same author

Role of TREM2 in neuroinflammation regulation: mechanisms, disease associations, and therapeutic translation advances.

Journal of translational medicine·2025
Same author

Supervised and Unsupervised Learning with Numerical Computation for the Wolfram Cellular Automata.

Entropy (Basel, Switzerland)·2025
Same author

METTL14-mediated m6A modification of DUSP6 mRNA participating in postoperative cognitive dysfunction due to sevoflurane anesthesia.

The journal of physiological sciences : JPS·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Nov 29, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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

Published on: September 26, 2016

8.2K

Coupled two-species model for the pair contact process with diffusion.

Shengfeng Deng1,2, Wei Li1, Uwe C Täuber2

  • 1Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China.

Physical Review. E
|November 20, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a two-species model to accurately describe the contact process with diffusion (PCPD) phase transition. The new model resolves long-standing disputes about the PCPD

More Related Videos

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

5.8K
A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts
08:43

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

Published on: December 1, 2018

11.8K

Related Experiment Videos

Last Updated: Nov 29, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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

Published on: September 26, 2016

8.2K
Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

5.8K
A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts
08:43

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

Published on: December 1, 2018

11.8K

Area of Science:

  • Statistical Physics
  • Complex Systems
  • Phase Transitions

Background:

  • The contact process with diffusion (PCPD) exhibits a debated active-to-absorbing phase transition.
  • Previous models may require explicit consideration of particle pair dynamics for accurate long-time behavior.
  • Understanding universality classes in such systems is crucial for theoretical advancements.

Purpose of the Study:

  • To introduce and validate a two-species model for the PCPD.
  • To resolve the long-standing dispute regarding the PCPD's universality class.
  • To accurately capture the system's long-time, large-scale behavior.

Main Methods:

  • Developed a two-species representation coupling single particles (B) and pairs (A).
  • Utilized mean-field analysis to understand the phase transition dynamics.
  • Employed Monte Carlo simulations in 1, 2, and 3 dimensions to validate the model.

Main Results:

  • The two-species model accurately captures PCPD features across dimensions.
  • Critical exponents and scaling properties of the coupled model match the original PCPD.
  • The model resolves conceptual difficulties and explains scaling corrections in PCPD.

Conclusions:

  • The two-species representation provides a consistent framework for PCPD dynamics.
  • This approach clarifies the universality class and behavior of the PCPD.
  • The model offers a robust tool for studying complex reaction-diffusion systems.