Mathematical representation of solute solubility in binary mixture of supercritical fluids by the Jouyban-Acree model

PDF Version Also Available for Download.

Description

Article on the mathematical representation of solute solubility in binary mixture of supercritical fluids by the Jouyban-Acree model.

Physical Description

3 p.

Creation Information

Jouyban, Abolghasem; Khoubnasabjafari, Maryam & Acree, William E. (William Eugene) July 1, 2005.

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 43 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

  • Govi-Verlag
    Place of Publication: [Eschborn, Germany]

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 the mathematical representation of solute solubility in binary mixture of supercritical fluids by the Jouyban-Acree model.

Physical Description

3 p.

Notes

Abstract: Applicability of a solution model for calculating the solute solubility in binary mixtures of supercritical fluids at different SCF compositions and pressures was shown using phenanthrene solubility data in supercritical carbon dioxide and supercritical ethane at 313 K and a pressure range of 100-350 bar. The correlation ability of the proposed model was evaluated by fitting all data points and computing error term employing back-calculated solubilities. The prediction capability of the model was assessed by dividing each data set to two subsets, namely training and test subsets. The predicted solubilities using trained models were used to calculate the prediction error term. The results show that both correlative and predictive error terms were less than the experimentally obtained RSD values.

Source

  • Pharmazie, 2005, Eschborn: Govi-Verlag, pp. 527-529

Language

Item Type

Publication Information

  • Publication Title: Pharmazie
  • Volume: 60
  • Issue: 7
  • Page Start: 527
  • Page End: 529
  • Pages: 3
  • 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

  • July 1, 2005

Submitted Date

  • June 6, 2004

Accepted Date

  • September 20, 2004

Added to The UNT Digital Library

  • July 9, 2015, 6:19 a.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 1
Total Uses: 43

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

Jouyban, Abolghasem; Khoubnasabjafari, Maryam & Acree, William E. (William Eugene). Mathematical representation of solute solubility in binary mixture of supercritical fluids by the Jouyban-Acree model, article, July 1, 2005; [Eschborn, Germany]. (digital.library.unt.edu/ark:/67531/metadc674091/: accessed November 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.