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Drug absorption within the gastrointestinal (GI) tract is a complex process influenced by several critical factors, including the site pH, the drug's dissociation constant (pKa), and the drug's lipophilicity. The GI tract exhibits a pH gradient, with an acidic environment in the stomach and a more alkaline environment in the small intestine. This pH variation directly affects the ionization state of drugs.
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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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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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Solubility prediction in octanol: A technical note.

Kia Sepassi1, Samuel H Yalkowsky2

  • 1College of Pharmacy, University of Arizona, 1703 East Mabel St, 85721, Tucson, AZ. sepassi@pharmacy.arizona.edu.

AAPS Pharmscitech
|March 15, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a new equation for quickly estimating octanol solubilities of organic compounds. Using only the melting point, it predicts solubilities with high accuracy, aiding chemical research.

Keywords:
activity coefficientoctanol solubilitysolubility parameter

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Area of Science:

  • Physical Chemistry
  • Computational Chemistry

Background:

  • Accurate prediction of octanol-water partition coefficients is crucial for environmental fate and pharmacokinetic studies.
  • Existing methods for solubility estimation can be complex and time-consuming.

Purpose of the Study:

  • To develop a rapid and accurate method for estimating octanol solubilities of organic compounds.
  • To establish a predictive equation based on readily available physical properties.

Main Methods:

  • Derivation of a predictive equation using a dataset of organic compounds.
  • Validation of the equation by comparing predicted solubilities with experimental values.

Main Results:

  • A novel equation was derived for rapid estimation of octanol solubilities.
  • Predictions showed an average absolute error of 0.39 logarithmic units over four orders of magnitude.
  • The method demonstrated good accuracy, particularly for less strongly bonded compounds.

Conclusions:

  • Melting point alone is a sufficient predictor for rapid octanol solubility estimation.
  • The derived equation offers a valuable tool for preliminary assessments in chemical research and development.
  • Further refinement may be needed for strongly bonded compounds.