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[Not Available].

M Hanocq1, M Van Damme, R Fuks

  • 1Institut de Pharmacie, Université Libre de Bruxelles, Campus Plaine CP 205/1, Boulevard du Triomphe, 1050 Bruxelles, Belgique.

Journal of Pharmaceutical and Biomedical Analysis
|January 1, 1985
PubMed
Summary
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This study introduces a novel mathematical method to determine the acidity constants (pKA) of amidines, even for sparingly soluble compounds. The new technique optimizes experimental data for greater accuracy in pKA value determination.

Area of Science:

  • Analytical Chemistry
  • Physical Chemistry

Context:

  • Determining the acidity constants (pKA) of amidines is crucial for understanding their chemical behavior.
  • Traditional methods struggle with sparingly soluble compounds, limiting pKA determination.
  • Ultraviolet (UV) absorption spectroscopy provides a non-invasive method for studying molecular changes with pH.

Purpose:

  • To develop and validate a new mathematical procedure for accurately determining pKA values of amidines.
  • To extend pKA determination to sparingly soluble amidine compounds.
  • To explore the relationship between molecular structure and acidity in amidines.

Summary:

  • Changes in UV absorption spectra with pH were analyzed to determine pKA values of amidines in aqueous solutions.
  • A novel 'complex method' of optimization was employed, utilizing all experimental data to solve for both the absorbance of insoluble species and the pKA value.

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  • This advanced mathematical approach offers a more general and accurate alternative to classical least-squares methods for sparingly soluble compounds.

    • Impact:

    • Provides a robust method for pKA determination of a wider range of amidine compounds, including those with low solubility.
    • Enhances the understanding of acid-base properties of amidines, impacting fields like medicinal chemistry and materials science.
    • Demonstrates a correlation between a specific molecular vibration frequency (double bond) and the acidity constants, offering insights into structure-property relationships.