Solubility in Binary Solvent Systems 3: Predictive Expressions Based on Molecular Surface Areas

PDF Version Also Available for Download.

Description

Article on solubility in binary solvent systems III and predictive expressions based on molecular surface areas.

Physical Description

5 p.

Creation Information

Acree, William E. (William Eugene) & Rytting, J. Howard March 1, 1983.

Context

This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 103 times . More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Publisher

Provided By

UNT College of Arts and Sciences

The UNT College of Arts and Sciences educates students in traditional liberal arts, performing arts, sciences, professional, and technical academic programs. In addition to its departments, the college includes academic centers, institutes, programs, and offices providing diverse courses of study.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

Article on solubility in binary solvent systems III and predictive expressions based on molecular surface areas.

Physical Description

5 p.

Notes

Abstract: The nearly ideal binary solvent model, which has led to successful predictive equations for the partial molar Gibbs free energy of the solute in binary solvent mixtures, was extended to include molecular surface areas as weighting factors. Two additional expressions were derived and compared to previously developed equations (based on molar volumes as weighting factors) for their ability to predict anthracene and naphthalene solubilities in mixed solvents from measurements in the pure solvents. 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 experimental solubilities in 25 systems with an average deviation of 1.7% and a maximum deviation of 7.5%. Two expressions approximating weighting factors with molar volumes provided accurate predictions in many of the systems studied but failed in their ability to predict anthracene solubilities in solvent mixtures containing benzene.

© 1983 by the American Pharmaceutical Association.

"Solubility in Binary Solvent Systems 3."

Source

  • Journal of Pharmaceutical Sciences, 1983, Washington D.C.: American Pharmaceutical Association, pp. 292-296

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Journal of Pharmaceutical Sciences
  • Volume: 72
  • Issue: 3
  • Page Start: 292
  • Page End: 296
  • Pages: 5
  • Peer Reviewed: Yes

Collections

This article is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • March 1, 1983

Added to The UNT Digital Library

  • July 9, 2015, 6:19 a.m.

Description Last Updated

  • July 14, 2015, 12:46 p.m.

Usage Statistics

When was this article last used?

Yesterday: 1
Past 30 days: 1
Total Uses: 103

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Acree, William E. (William Eugene) & Rytting, J. Howard. Solubility in Binary Solvent Systems 3: Predictive Expressions Based on Molecular Surface Areas, article, March 1, 1983; [Washington, D.C.]. (digital.library.unt.edu/ark:/67531/metadc674094/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.