Jove
Visualize
Contact Us

Related Concept Videos

Diffusion01:12

Diffusion

216.8K
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...
216.8K
Diffusion01:21

Diffusion

6.3K
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...
6.3K
The Extracellular Matrix01:42

The Extracellular Matrix

88.3K
Overview
88.3K
The Extracellular Matrix01:29

The Extracellular Matrix

12.0K
Overview
In order to maintain tissue organization, many animal cells are surrounded by structural molecules that make up the extracellular matrix (ECM). Together, the molecules in the ECM maintain the structural integrity of tissue as well as the remarkable specific properties of certain tissues.
Composition of the Extracellular Matrix
The extracellular matrix (ECM) is commonly composed of ground substance, a gel-like fluid, fibrous components, and many structurally and functionally diverse...
12.0K
Facilitated Diffusion01:16

Facilitated Diffusion

1.2K
The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
1.2K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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

31.2K
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...
31.2K

You might also read

Related Articles

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

Sort by
Same author

The biexponential road to Fickian yet non-Gaussian diffusion in kerogen's microporosity.

The Journal of chemical physics·2026
Same author

Exploring the aluminium paradox in calcium-aluminosilicate-hydrate decalcification.

Nature communications·2025
Same author

Molecular mechanisms of CO<sub>2</sub> mineralization on wetting nanoscale surfaces using molecular simulations and metadynamics.

Nature communications·2025
Same author

High energy density carbon-cement supercapacitors for architectural energy storage.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Surface chemistry-mediated porewater fluctuations boost CO<sub>2</sub> docking in calcium silicate hydrates.

Nature communications·2025
Same author

Urban environmental and population factors as determinants of COVID-19 severity: A spatially-resolved probabilistic modeling approach.

PLOS digital health·2025
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 Experiment Video

Updated: Jan 22, 2026

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix
09:26

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

8.9K

Methane Diffusion in a Flexible Kerogen Matrix.

Amaël Obliger1,2, Pierre-Louis Valdenaire1, Franz-Josef Ulm1,3

  • 1MultiScale Materials Science for Energy and Environment (MSE2), The Joint CNRS/MIT/Aix-Marseille University Laboratory, UMI CNRS 3466, Massachusetts Institute of Technology , Cambridge 02139 , Massachusetts , United States.

The Journal of Physical Chemistry. B
|June 28, 2019
PubMed
Summary

This study reveals that methane diffusion in shale kerogen is significantly influenced by swelling and internal matrix motions, contrary to previous assumptions. Accounting for these factors enhances hydrocarbon recovery predictions in unconventional reservoirs.

More Related Videos

Methane Hydrate Crystallization on Sessile Water Droplets
08:46

Methane Hydrate Crystallization on Sessile Water Droplets

Published on: May 26, 2021

2.8K
Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

17.3K

Related Experiment Videos

Last Updated: Jan 22, 2026

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix
09:26

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

8.9K
Methane Hydrate Crystallization on Sessile Water Droplets
08:46

Methane Hydrate Crystallization on Sessile Water Droplets

Published on: May 26, 2021

2.8K
Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

17.3K

Area of Science:

  • Geochemistry
  • Materials Science
  • Petroleum Engineering

Background:

  • Microporosity in shale organic matter (kerogen) critically impacts hydrocarbon recovery from unconventional reservoirs.
  • Previous numerical studies often simplified kerogen as a rigid matrix, neglecting poromechanics and adsorption-induced deformations.
  • Understanding fluid transport within kerogen is vital for optimizing oil and gas extraction.

Purpose of the Study:

  • To investigate methane diffusion within an immature kerogen matrix using molecular dynamics simulations.
  • To explicitly incorporate adsorption-induced swelling and internal matrix motions (phonons, nonperiodic deformations).
  • To analyze the impact of these factors on hydrocarbon transport and recovery.

Main Methods:

  • Utilized molecular dynamics (MD) simulations to model methane diffusion.
  • Explicitly included kerogen matrix swelling due to methane adsorption.
  • Incorporated internal matrix dynamics, including phonons and nonperiodic deformations.
  • Applied Fujita-Kishimoto free volume theory for rationalization.

Main Results:

  • Adsorption-induced swelling increases free volume, leading to higher methane diffusivity, contrasting with the frozen matrix approximation.
  • Internal matrix motions (phonons and nonperiodic deformations) enhance diffusivity by approximately an order of magnitude.
  • Fluctuations in pore connectivity due to matrix dynamics play a key role in diffusivity enhancement.

Conclusions:

  • Kerogen's deformability and internal dynamics are crucial for accurate modeling of hydrocarbon transport.
  • The findings challenge the 'frozen matrix' assumption and offer insights into shale reservoir behavior.
  • This research provides a basis for explaining productivity slowdown in immature shale reservoirs and improving recovery strategies.