Solubility in Binary Solvent Systems: Comparison of Predictive Equations Derived from the NIBS Model

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Article discussing the solubility in binary solvent systems and a comparison of predictive equations derived from the Nearly Ideal Binary Solvent (NIBS) model.

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9 p.

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Judy, Cheryl L.; Pontikos, Nicholas M. & Acree, William E. (William Eugene) 1987.

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Article discussing the solubility in binary solvent systems and a comparison of predictive equations derived from the Nearly Ideal Binary Solvent (NIBS) model.

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9 p.

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Abstract: Experimental solubilities are reported for pyrene in binary solvent mixtures containing benzene with n-hexane, cyclohexane, n-heptane, n-octane, cyclooctane and isooctane at 26ÂșC. Results of these measurements, combined with published pyrene and biphenyl solubilities, are used to test predictive expressions derived from the Nearly Ideal Binary Solvent (NIBS) model. The most successful equation in terms of goodness of fit involved a surface fraction average of the excess Gibbs free energy relative to Raoult's law and predicted the experimental solubilities in 17 systems with an average deviation of 2.3% and a maximum deviation of 8.9%. Two expressions approximating weighting factors with molar volumes provided accurate predictions in many systems studied but failed in their ability to predict pyrene solubilities in solvent mixtures containing benzene.

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  • Physics and Chemistry of Liquids, 1987, United Kingdom: Gordon and Breach Science Publishers, pp. 179-187

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  • Publication Title: Physics and Chemistry of Liquids
  • Volume: 16
  • Page Start: 179
  • Page End: 187
  • Pages: 9
  • Peer Reviewed: Yes

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  • 1987

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  • Oct. 2, 2015, 9:40 a.m.

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Judy, Cheryl L.; Pontikos, Nicholas M. & Acree, William E. (William Eugene). Solubility in Binary Solvent Systems: Comparison of Predictive Equations Derived from the NIBS Model, article, 1987; [United Kingdom]. (digital.library.unt.edu/ark:/67531/metadc725820/: accessed October 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.