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

Description:

Article on the solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.

Creator(s):
Creation Date: 2006  
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 9
Past 30 days: 1
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Creator (Author):
Jouyban, Abolghasem

Tabriz University of Medical Sciences

Creator (Author):
Chew, Nora Yat Knork

Tabriz University of Medical Sciences

Creator (Author):
Chan, H.

Tabriz University of Medical Sciences

Creator (Author):
Khoubnasabjafari, M.

University of Sydney

Creator (Author):
Acree, William E. (William Eugene)

University of North Texas

Publisher Info:
Publisher Name: Govi-Verlag
Place of Publication: [Eschborn, Germany]
Date(s):
  • Creation: 2006
Description:

Article on the solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.

Degree:
Department: Chemistry
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).

Physical Description:

4 p.

Language(s):
Subject(s):
Keyword(s): salicylic acid | solution models | solvent systems
Source: Pharmazie, 2006, Eschborn: Govi-Verlag, pp. 318-321
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc282593
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Pharmazie
Volume: 61
Page Start: 318
Page End: 321
Peer Reviewed: Yes