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

Two Components: Liquid–Liquid Systems

Two Components: Liquid–Liquid Systems

A pressure-composition phase diagram explicitly describes the behavior of an ideal solution of two volatile liquids under varying pressures and compositions. A pressure-composition diagram has two main curves. The bubble point curve represents the plot of pressure versus liquid mole fraction. It indicates the pressure at which the first bubble of vapor forms from the liquid phase as the system pressure decreases.The dew point curve is the pressure versus vapor mole fraction. It indicates the...

Nonideal Two-Component Liquid Solutions

Nonideal Two-Component Liquid Solutions

Nonideal liquid solutions, also known as real solutions, do not strictly follow Raoult's law. Raoult's law is a rule of thumb in physical chemistry. However, not all mixtures adhere to this law due to varying molecular interactions. For example, in an acetone/chloroform solution, the individual vapor pressures of the components are lower than expected, resulting in a total vapor pressure below that predicted by Raoult's law, causing a negative deviation.On the other hand, in an ethanol/water...

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

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

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 concentration...

Electrochemical Systems

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...

Surface Tension of Fluid

Surface Tension of Fluid

Surface tension is a fundamental property of fluids, occurring at the boundary between a liquid and a gas or between two immiscible liquids. This phenomenon arises from the cohesive forces between molecules at the fluid's surface, creating an effect similar to a stretched elastic membrane. Inside each fluid, molecules are equally attracted in all directions by neighboring molecules, but surface molecules experience a net inward force, resulting in surface tension.
Surface tension varies with...

Theories of Dissolution: Diffusion Layer Model

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...

You might also read

Related Articles

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

Sort by

Same author

A possible way to extract the dynamic contact angle at the molecular scale from that measured experimentally.

Journal of colloid and interface science·2022

Same author

Genetic and epigenetic determinants of reactivation of Mecp2 and the inactive X chromosome in neural stem cells.

Stem cell reports·2022

Same author

Taking a closer look: A molecular-dynamics investigation of microscopic and apparent dynamic contact angles.

Journal of colloid and interface science·2020

Same author

Heterogeneous mass distribution of the rubble-pile asteroid (101955) Bennu.

Science advances·2020

Same author

Small-scale density variations in the lunar crust revealed by GRAIL.

Icarus·2020

Same author

Controlling the pinning time of a receding contact line under forced wetting conditions.

Journal of colloid and interface science·2020

Search research articles

Related Experiment Video

Updated: May 28, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

Predicting the wetting dynamics of a two-liquid system.

D Seveno¹, T D Blake, S Goossens

¹Laboratory of Surface and Interfacial Physics, Université de Mons, 20 place du parc, 7000 Mons, Belgium. david.seveno@umons.ac.be

Langmuir : the ACS Journal of Surfaces and Colloids

|November 2, 2011

Summary

A new theoretical model predicts dynamic wetting for two immiscible liquids by extending molecular-kinetic theory. This model accurately forecasts two-liquid system dynamics based on individual liquid behaviors, validated by simulations and experiments.

More Related Videos

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

Published on: September 4, 2015

Related Experiment Videos

Last Updated: May 28, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

Published on: September 4, 2015

Area of Science:

Surface Science
Fluid Dynamics
Physical Chemistry

Background:

Dynamic wetting phenomena are crucial in industrial processes and natural systems.
Existing models may not fully capture the complexities of multi-liquid interfaces.
Understanding liquid displacement on solid surfaces is a persistent scientific challenge.

Purpose of the Study:

To introduce a novel theoretical model for dynamic wetting in two-immiscible-liquid systems.
To enable prediction of complex wetting dynamics from simpler, individual liquid behaviors.
To validate the model using advanced computational and experimental techniques.

Main Methods:

Extension of the molecular-kinetic theory of wetting.
Large-scale molecular dynamics simulations for single- and two-liquid systems.
Comparison of model predictions against simulation results and existing experimental data.

Main Results:

The proposed theoretical model accurately describes dynamic wetting in two-immiscible-liquid systems.
Molecular dynamics simulations show excellent agreement with the new theoretical predictions.
The model demonstrates consistency with available experimental observations.

Conclusions:

The new model provides a robust framework for understanding and predicting dynamic wetting in multi-liquid scenarios.
This work advances the predictive capabilities for interfacial phenomena involving immiscible fluids.
The findings have implications for optimizing processes involving liquid-solid interactions.