Solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model Metadata

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Title

  • Main Title Solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model

Creator

  • Author: Jouyban, Abolghasem
    Creator Type: Personal
    Creator Info: Tabriz University of Medical Sciences
  • Author: Chew, Nora Yat Knork
    Creator Type: Personal
    Creator Info: Tabriz University of Medical Sciences
  • Author: Chan, H.
    Creator Type: Personal
    Creator Info: Tabriz University of Medical Sciences
  • Author: Khoubnasabjafari, M.
    Creator Type: Personal
    Creator Info: University of Sydney
  • Author: Acree, William E. (William Eugene)
    Creator Type: Personal
    Creator Info: University of North Texas

Publisher

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

Date

  • Creation: 2006

Language

  • English

Description

  • Content Description: Article on the solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.
  • Physical Description: 4 p.

Subject

  • Keyword: salicylic acid
  • Keyword: solution models
  • Keyword: solvent systems

Source

  • Journal: Pharmazie, 2006, Eschborn: Govi-Verlag, pp. 318-321

Citation

  • Publication Title: Pharmazie
  • Volume: 61
  • Page Start: 318
  • Page End: 321
  • Peer Reviewed: True

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Arts and Sciences
    Code: UNTCAS

Rights

  • Rights Access: public

Resource Type

  • Article

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc282593

Degree

  • Academic Department: Chemistry

Note

  • Display Note: Abstract: To show the applicability of a solution model, i.e. the Jouyban-Acree model, for predicting the solubility of a solute in ternary solvent systems based on model constants computed using solubility data of the solute in binary solvent systems, the solubility of salicylic acid in water-ethanol, water-propylene glycol, ethanol-propylene glycol mixtures was determined. A minimum number of three data points from each binary system was used to calculate the binary interaction parameters of the model. Then the solubility in other binary solvent compositions and also in a number of ternary solvents was predicted, and the mean percentage deviation (MPD) was calculated as an accuracy criterion. The overall MPD (±SD) was 7.3 (±7.3)% and those of a similar predictive model was 15.7 (±11.5)%. The mean difference between the proposed and a previous model was statistically significant (paired t-test, p < 0.004).