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Related Concept Videos

Entropy and Solvation02:05

Entropy and Solvation

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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...
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An understanding of the solvating effect helps rationalize the relation between solvation and acidity of the compound. In addition, this also explains the relative stability of conjugate bases for compounds with different pKa values. This lesson details, in-depth, the principle of solvating effects. The strength of an acid and the stability of its corresponding conjugate base are determined using pKa values. This observed relationship is a consequence of solvation, which is the interaction...
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Solubility03:00

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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).
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Solubility Equilibria: Overview01:09

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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.
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Solubility Equilibria03:07

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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.
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Chemical and Solubility Equilibria02:21

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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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Spatial Separation of Molecular Conformers and Clusters
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Solvation parameter model: Tutorial on its application to separation systems for neutral compounds.

Colin F Poole1

  • 1Department of Chemistry, Wayne State University, Detroit, MI, 48202, USA.

Journal of Chromatography. A
|April 15, 2021
PubMed
Summary
This summary is machine-generated.

The solvation parameter model effectively predicts neutral compound distribution in various separation systems. This tutorial establishes best practices for its application in chromatography and liquid-liquid partitioning.

Keywords:
ChromatographyDescriptorsLiquid-liquid partitionQuantitative structure-retention relationshipsSystem constantsSystem maps

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Area of Science:

  • Analytical Chemistry
  • Separation Science

Background:

  • The solvation parameter model is a valuable tool for predicting neutral compound distribution in biphasic systems.
  • It is widely applied in chromatography (GC, LC, SFC, MEKC) and liquid-liquid partition systems.

Purpose of the Study:

  • To provide a tutorial on establishing good practices for applying the solvation parameter model to separation systems.
  • To detail experimental protocols and data analysis tools for model implementation.

Main Methods:

  • Determining system constants using multiple linear regression analysis.
  • Calculating descriptors via the Solver method.
  • Utilizing statistical tools for model quality evaluation.
  • Employing system maps and correlation diagrams for data analysis.

Main Results:

  • Presents suitable experimental protocols for determining system constants and descriptors.
  • Discusses statistical tools for assessing model performance.
  • Describes data analysis tools for visualizing and interpreting model results.

Conclusions:

  • The solvation parameter model is a robust tool for characterizing distribution properties in separation science.
  • This tutorial provides a framework for its effective application and data interpretation.