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Solubility of Ionic Compounds02:55

Solubility of Ionic Compounds

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Solubility is the measure of the maximum amount of solute that can be dissolved in a given quantity of solvent at a given temperature and pressure. Solubility is usually measured in molarity (M) or moles per liter (mol/L). A compound is termed soluble if it dissolves in water.
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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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...
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Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

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The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place,...
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Solution Formation02:16

Solution Formation

31.7K
There is no one solvent that can dissolve every type of solute. Some substances that readily dissolve in a certain solvent might be insoluble in a different solvent. A simple way to predict which substances dissolve in which solvent is the phrase "like dissolves like". This means that polar substances, such as salt and sugar, dissolve in a polar substance like water. In contrast, non-polar substances are more soluble in non-polar solvents such as carbon tetrachloride.
This selective...
31.7K
Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

33.9K
The formation of a solution is an example of a spontaneous process, a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Such a solution is called an ideal solution. A mixture of ideal gases (or gases such as helium and argon,...
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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

324
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...
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Related Experiment Video

Updated: Jul 13, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

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Predicting Gaseous Solute Diffusion in Viscous Multivalent Ionic Liquid Solvents.

Feranmi V Olowookere1, C Heath Turner1

  • 1Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, Alabama 35487-0203, United States.

The Journal of Physical Chemistry. B
|October 13, 2023
PubMed
Summary
This summary is machine-generated.

A new scaling approach simplifies predicting solute diffusion in viscous solvents. This method uses solvent-accessible surface area, offering accurate estimations from short molecular dynamics simulations.

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Area of Science:

  • Computational chemistry
  • Physical chemistry
  • Materials science

Background:

  • Molecular dynamics simulations face challenges in calculating solute diffusion in dense, viscous solvents due to long time scales.
  • Accurate prediction of solute diffusion is crucial for understanding and designing chemical processes.

Purpose of the Study:

  • To develop a novel scaling approach for predicting solute diffusion in challenging solvent systems.
  • To establish a reliable method for estimating diffusion behavior from short simulation trajectories.

Main Methods:

  • Analysis of CO2 and SO2 diffusion in multivalent ionic liquid solvents using molecular dynamics.
  • Evaluation of various scaling approaches, including thermostat strategies and established diffusion models (Arrhenius, Speedy-Angell).
  • Establishment of a logarithmic correlation between solvent-accessible surface area and solute diffusion.

Main Results:

  • A strong logarithmic correlation was identified between solvent-accessible surface area and solute diffusion.
  • The proposed scaling approach effectively predicts solute diffusion from short simulation data.
  • The findings align with established theories like Danckwerts' surface renewal and Vrentas-Duda free volume models.

Conclusions:

  • A new, efficient method for predicting solute diffusion in dense, viscous solvents has been developed.
  • The solvent-accessible surface area correlation offers a valuable tool for enhancing predictive modeling in complex systems.
  • This approach can accelerate the study of diffusion in challenging chemical environments.