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

Solubility03:00

Solubility

20.2K
Solution, Solubility, and Solubility Equilibrium
A solution is a homogeneous mixture composed of a solvent, the major component, and a solute, the minor component. The physical state of a solution—solid, liquid, or gas—is typically the same as that of the solvent. Solute concentrations are often described with qualitative terms such as dilute (of relatively low concentration) and concentrated (of relatively high concentration).
In a solution, the solute particles (molecules,...
20.2K
Factors Affecting Solubility04:01

Factors Affecting Solubility

35.7K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
35.7K
Solubility Equilibria03:07

Solubility Equilibria

55.5K
Solubility equilibria are established when the dissolution and precipitation of a solute species occur at equal rates. These equilibria underlie many natural and technological processes, ranging from tooth decay to water purification. An understanding of the factors affecting compound solubility is, therefore, essential to the effective management of these processes. This section applies previously introduced equilibrium concepts and tools to systems involving dissolution and precipitation.
The...
55.5K
Physical Properties Affecting Solubility02:19

Physical Properties Affecting Solubility

25.5K
Solutions of Gases in Liquids
As for any solution, the solubility of a gas in a liquid is affected by the attractive intermolecular forces between solute and solvent species. Unlike solid and liquid solutes, however, there is no solute-solute intermolecular attraction to overcome when a gaseous solute dissolves in a liquid solvent since the atoms or molecules comprising a gas are far separated and experience negligible interactions. Consequently, solute-solvent interactions are the sole...
25.5K
Solubility Equilibria: Overview01:09

Solubility Equilibria: Overview

1.1K
When a substance such as sodium chloride is added to water, it dissolves, forming an aqueous solution. The extent of dissolution is called solubility. The process of dissolution can exist in equilibrium, just like other chemical processes. Solubility equilibria are also called precipitation equilibria because the process of solubility can be reversible. The reverse of the solubility process is called precipitation.
Solubility is important in biological and environmental processes. A notable...
1.1K
Bioavailability Enhancement: Drug Solubility Enhancement01:16

Bioavailability Enhancement: Drug Solubility Enhancement

91
Body:Bioavailability is a critical factor in determining a drug's effectiveness. It refers to the proportion of a drug that enters the circulation when introduced into the body and is, as a result, able to have an active effect. Enhancing bioavailability is essential for drugs with poor solubility, as it can significantly impact their therapeutic efficacy. Various methods are employed to increase the solubility of drugs, thereby enhancing their bioavailability.Micronization and nanonization are...
91

You might also read

Related Articles

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

Sort by
Same author

Machine Learning-Accelerated Discovery of Earth-Abundant Bimetallic Electrocatalysts for the Hydrogen Evolution Reaction.

ACS catalysis·2025
Same author

Designing polymersomes with surface-integrated nanoparticles through hierarchical phase separation.

Nature communications·2025
Same author

ML-Aided Computational Screening of 2D Materials for Photocatalytic Water Splitting.

The journal of physical chemistry letters·2024
Same author

Towards the 4 V-class n-type organic lithium-ion positive electrode materials: the case of conjugated triflimides and cyanamides.

Energy & environmental science·2024
Same author

Discovery of lead quinone cathode materials for Li-ion batteries.

Digital discovery·2023
Same author

Polymer Vesicles with Integrated Photothermal Responsiveness.

Journal of the American Chemical Society·2023

Related Experiment Video

Updated: Nov 21, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
05:08

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid

Published on: September 20, 2017

17.3K

Pushing the limits of solubility prediction via quality-oriented data selection.

Murat Cihan Sorkun1,2,3, J M Vianney A Koelman1,2,3, Süleyman Er1,2

  • 1DIFFER - Dutch Institute for Fundamental Energy Research, De Zaale 20, 5612 AJ Eindhoven, the Netherlands.

Iscience
|January 13, 2021
PubMed
Summary

Predicting chemical solubility is difficult due to limited high-quality data. This study introduces a quality-oriented data selection method to improve solubility prediction models, bridging the gap between actual and observed performance.

Keywords:
Analytical ReagentsArtificial IntelligenceChemistryComputational Chemistry

More Related Videos

Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs
08:18

Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs

Published on: July 27, 2022

1.3K
Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
10:12

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles

Published on: January 7, 2019

23.0K

Related Experiment Videos

Last Updated: Nov 21, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
05:08

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid

Published on: September 20, 2017

17.3K
Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs
08:18

Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs

Published on: July 27, 2022

1.3K
Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
10:12

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles

Published on: January 7, 2019

23.0K

Area of Science:

  • Chemistry
  • Data Science
  • Computational Chemistry

Background:

  • Accurate prediction of chemical solubility is crucial but hindered by data scarcity.
  • The impact of data quality and quantity on solubility prediction models remains under-explored.

Purpose of the Study:

  • To investigate the influence of data set size and quality on solubility prediction model performance.
  • To introduce concepts of actual versus observed performance in predictive modeling.
  • To develop a method for selecting high-quality data to improve model accuracy.

Main Methods:

  • A quality-oriented data selection strategy was designed using statistical validation.
  • The method was applied to the largest publicly available aqueous solubility database.
  • A consensus machine learning approach was employed for model development.

Main Results:

  • The study unraveled the roles of data size and quality in solubility prediction.
  • A novel quality-oriented data selection method was successfully developed.
  • A top-performing solubility prediction model was achieved using the developed method.

Conclusions:

  • Data quality significantly impacts the performance of solubility prediction models.
  • The developed quality-oriented data selection method effectively enhances model accuracy.
  • This approach helps bridge the gap between actual and observed model performance.