Literature DB >> 8165177

Solubility predictions for solid nitriles and tertiary amides based on the mobile order theory.

P Ruelle1, U W Kesselring.   

Abstract

The solubilities of hexadecanenitrile, octadecanenitrile, N,N-diphenyl capramide, and N,N-diphenyl lauramide are predicted in common organic nonelectrolyte solvents using the solubility equation derived from the mobile order theory. In the framework of this theory, the formation of hydrogen bonds is treated on the basis of stability constants. Two values characterizing the nitrile-alcohol and the tertiary amide-alcohol hydrogen bonds, 175 and 600 cm3 mol-1, respectively, are determined. Although the formation of solute-solvent specific molecular interactions brings about a net increase in the solubility, the solubilities of the nitriles and amides in alcohols remain lower than those measured in nonassociated solvents because of the large negative hydrophobic effect of the alcohol molecules.

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Year:  1994        PMID: 8165177     DOI: 10.1023/a:1018990904867

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  4 in total

1.  The mobile order theory versus UNIFAC and regular solution theory-derived models for predicting the solubility of solid substances.

Authors:  P Ruelle; M Buchmann; N T Hô; U W Kesselring
Journal:  Pharm Res       Date:  1992-06       Impact factor: 4.200

2.  Enhancement of the solubilities of polycyclic aromatic hydrocarbons by weak hydrogen bonds with water.

Authors:  P Ruelle; M Buchmann; H Nam-Tran; U W Kesselring
Journal:  J Comput Aided Mol Des       Date:  1992-10       Impact factor: 3.686

3.  A new predictive equation for the solubility of drugs based on the thermodynamics of mobile disorder.

Authors:  P Ruelle; C Rey-Mermet; M Buchmann; H Nam-Tran; U W Kesselring; P L Huyskens
Journal:  Pharm Res       Date:  1991-07       Impact factor: 4.200

4.  Hydrophobic effect at the origin of the low solubility of inert solid substances in hydrogen-bonded solvents.

Authors:  P Ruelle; M Buchmann; U W Kesselring
Journal:  J Pharm Sci       Date:  1994-03       Impact factor: 3.534

  4 in total
  1 in total

1.  Modeling solubility of CO2-N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

Authors:  Reza Nakhaei-Kohani; Ehsan Taslimi-Renani; Fahime Hadavimoghaddam; Mohammad-Reza Mohammadi; Abdolhossein Hemmati-Sarapardeh
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.996

  1 in total

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