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Solubility prediction for a soluble organic molecule via chemical potentials from density of states.
Boothroyd, Simon; Anwar, Jamshed.
Afiliación
  • Boothroyd S; Chemical Theory and Computation, Department of Chemistry, Lancaster University, Lancaster LA1 4YB, United Kingdom.
  • Anwar J; Chemical Theory and Computation, Department of Chemistry, Lancaster University, Lancaster LA1 4YB, United Kingdom.
J Chem Phys ; 151(18): 184113, 2019 Nov 14.
Article en En | MEDLINE | ID: mdl-31731842
ABSTRACT
While the solubility of a substance is a fundamental property of widespread significance, its prediction from first principles (starting from only the knowledge of the molecular structure of the solute and solvent) remains a challenge. Recently, we proposed a robust and efficient method to predict the solubility from the density of states of a solute-solvent system using classical molecular simulation. The efficiency, and indeed the generality, of the method has now been enhanced by extending it to calculate solution chemical potentials (rather than probability distributions as done previously), from which solubility may be accessed. The method has been employed to predict the chemical potential of Form 1 of urea in both water and methanol for a range of concentrations at ambient conditions and for two charge models. The chemical potential calculations were validated by thermodynamic integration with the two sets of values being in excellent agreement. The solubility determined from the chemical potentials for urea in water ranged from 0.46 to 0.50 mol kg-1, while that for urea in methanol ranged from 0.62 to 0.85 mol kg-1, over the temperature range 298-328 K. In common with other recent studies of solubility prediction from molecular simulation, the predicted solubilities differ markedly from experimental values, reflecting limitations of current forcefields.

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Phys Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Phys Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido