Jove
Visualize
Contact Us

Related Concept Videos

Phase Transitions02:31

Phase Transitions

23.1K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
23.1K
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

20.0K
Some solids can transition directly into the gaseous state, bypassing the liquid state, via a process known as sublimation. At room temperature and standard pressure, a piece of dry ice (solid CO2) sublimes, appearing to gradually disappear without ever forming any liquid. Snow and ice sublimate at temperatures below the melting point of water, a slow process that may be accelerated by winds and the reduced atmospheric pressures at high altitudes. When solid iodine is warmed, the solid sublimes...
20.0K
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

15.0K
Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
15.0K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

21.0K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
21.0K
Statistical Significance01:50

Statistical Significance

21.3K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.3K
Approximate Integration01:24

Approximate Integration

46
In many practical and theoretical contexts, the exact value of a definite integral may be inaccessible. This limitation typically arises when the antiderivative of a function is either unknown or cannot be expressed in a closed mathematical form. Alternatively, it can occur when a function is defined not by a formula but by a finite set of empirical data points, such as those collected during experiments. In these cases, approximate integration techniques provide a valuable solution.One of the...
46

You might also read

Related Articles

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

Sort by
Same author

Doniach Lattice Gas on Bipartite Lattices in the Mean-Field Approximation.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Phase Transitions in Phospholipid Monolayers: Theory Versus Experiments.

Langmuir : the ACS journal of surfaces and colloids·2019
Same author

Multicritical behavior of the ferromagnetic Blume-Emery-Griffiths model with repulsive biquadratic couplings.

Physical review. E·2018
Same author

Phase transitions and spatially ordered counterion association in ionic-lipid membranes: a statistical model.

Physical review. E, Statistical, nonlinear, and soft matter physics·2011
Same author

Phase transitions and spatially ordered counterion association in ionic-lipid membranes: theory versus experiment.

Langmuir : the ACS journal of surfaces and colloids·2011
Same author

Ions at the water-vapor interface.

The journal of physical chemistry. B·2010
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 29, 2026

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

8.4K

Phase transitions in phospholipid monolayers: Statistical model at the pair approximation.

F O de Oliveira1, M N Tamashiro1

  • 1Instituto de Física "Gleb Wataghin", Universidade Estadual de Campinas (UNICAMP), Rua Sérgio Buarque de Holanda, 777, Cidade Universitária, Campinas SP, 13083-859, Brazil.

Physical Review. E
|February 21, 2019
PubMed
Summary

This study models Langmuir films using a lattice gas approach, revealing a new staggered phase in phospholipid behavior. The findings align with experimental observations of lipid phase transitions.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K
Optogenetic Phase Transition of TDP-43 in Spinal Motor Neurons of Zebrafish Larvae
07:14

Optogenetic Phase Transition of TDP-43 in Spinal Motor Neurons of Zebrafish Larvae

Published on: February 25, 2022

6.5K

Related Experiment Videos

Last Updated: Jan 29, 2026

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

8.4K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K
Optogenetic Phase Transition of TDP-43 in Spinal Motor Neurons of Zebrafish Larvae
07:14

Optogenetic Phase Transition of TDP-43 in Spinal Motor Neurons of Zebrafish Larvae

Published on: February 25, 2022

6.5K

Area of Science:

  • Statistical Mechanics
  • Soft Condensed Matter Physics
  • Biophysics

Background:

  • Langmuir films, composed of phospholipid monolayers at air-water interfaces, exhibit complex phase behaviors.
  • The Doniach lattice gas (DLG) model, a spin-1 model, has been used to describe these systems.
  • Previous mean-field approximation (MFA) analyses of the DLG model left open questions regarding thermodynamic stability and phase identification.

Purpose of the Study:

  • To re-examine the Doniach lattice gas (DLG) model at the pair-approximation level.
  • To identify thermodynamic solutions and assess phase stability beyond the MFA.
  • To compare theoretical predictions with experimental data for specific phospholipids.

Main Methods:

  • Modeled the Langmuir film as a two-dimensional lattice gas of water, ordered lipids, and disordered lipids.
  • Employed a spin-1 model with high degeneracy for disordered lipid states (DLG model).
  • Solved the model on a Cayley tree at the pair-approximation level, analyzing attractors of discrete maps.
  • Calculated the grand-potential density using Gujrati's method to determine thermodynamic stability.
  • Fitted model parameters to experimental data for DMPC and DPPC phospholipids.

Main Results:

  • The pair-approximation generally confirmed previous MFA results for the DLG model.
  • A novel staggered phase was discovered, which was not identified in the MFA analysis, under specific intermolecular interaction conditions (ε_{wd}>1/2(ε_{ww}+ε_{dd})).
  • Phase diagrams derived from fitting model parameters to DMPC and DPPC data were consistent with experimentally observed isothermal compression transitions (liquid-condensed to liquid-expanded).

Conclusions:

  • The pair-approximation provides a more refined understanding of DLG model thermodynamics, revealing previously unidentified phases.
  • The model successfully reproduces key features of phospholipid phase behavior in Langmuir films, including first-order transitions and critical points.
  • This approach offers a valuable theoretical framework for studying lipid monolayer organization and phase transitions.