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

Entropy and Solvation02:05

Entropy and Solvation

The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ ≥ 15); an...
Aqueous Solutions and Heats of Hydration02:42

Aqueous Solutions and Heats of Hydration

Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
Entropy02:39

Entropy

Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
Entropy01:18

Entropy

The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
The Entropy as a State Function01:14

The Entropy as a State Function

Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...

You might also read

Related Articles

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

Sort by
Same author

DUSP1 is a Key Driver of Disease Persistence and Potential Therapeutic Target in Hairy Cell Leukemia.

Blood advances·2026
Same author

Evaluating Molecular Docking Programs for RNA-Targeted Ligand Screening: Influence of Binding Modes and Ligand Types.

Journal of chemical information and modeling·2026
Same author

Dengue Virus Capsid Protein Interaction With Nucleic Acids.

BioFactors (Oxford, England)·2026
Same author

Engineering of acidic pH-responsive anti-CD3 binding antibodies.

mAbs·2026
Same author

Quantifying Spatially Resolved Hydration Thermodynamics Using Grid Inhomogeneous Solvation Theory [Article v1.0].

Living journal of computational molecular science·2026
Same author

Smooth-to-rough morphotype switching, a mechanism of phage resistance in <i><i>Mycobacterium</i> abscessus</i>.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: May 11, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

Entropy from state probabilities: hydration entropy of cations.

Roland G Huber1, Julian E Fuchs, Susanne von Grafenstein

  • 1Department of Theoretical Chemistry, Faculty for Chemistry and Pharmacy, Center for Molecular Biosciences Innsbruck, Leopold-Franzens University Innsbruck, Innrain 80/82, A-6020 Innsbruck, Austria.

The Journal of Physical Chemistry. B
|May 9, 2013
PubMed
Summary

Researchers developed a new method to directly calculate hydration entropy from probability density functions. This approach accurately determines hydration entropy for cations in aqueous solutions, requiring only nanosecond sampling times.

More Related Videos

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability
09:49

Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability

Published on: April 2, 2015

Related Experiment Videos

Last Updated: May 11, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability
09:49

Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability

Published on: April 2, 2015

Area of Science:

  • Physical Chemistry
  • Computational Chemistry
  • Thermodynamics

Background:

  • Entropy is a fundamental thermodynamic property governing chemical process direction.
  • Accurate calculation of hydration entropy is crucial for understanding ion behavior in solution.
  • Existing methods may rely on assumptions or require extensive computational resources.

Purpose of the Study:

  • To introduce a novel computational approach for determining hydration entropy.
  • To validate the proposed method using aqueous cation systems.
  • To assess the efficiency and general applicability of the new strategy.

Main Methods:

  • Utilizing probability density functions in state space to derive hydration entropy.
  • Performing extensive validation of simulation results for aqueous cation systems.
  • Employing molecular simulations with sampling times in the low nanosecond range.

Main Results:

  • The new method accurately calculates hydration entropy without prior assumptions on potential energy landscapes.
  • Effective hydration entropy values were obtained for a series of cations.
  • Low nanosecond sampling times proved sufficient for the investigated ionic systems.

Conclusions:

  • The proposed method offers a direct and accurate way to compute hydration entropy.
  • The approach is versatile and applicable to various chemical systems accessible via computer simulations.
  • This strategy advances the computational prediction of thermodynamic properties in solution.