University of Sussex
Browse

Solubility prediction of paracetamol in water-ethanol-propylene glycol mixtures at 25 and 30°C using practical approaches

Download (129.6 kB)
journal contribution
posted on 2023-06-08, 19:25 authored by Abolghasem Jouyban, Olduz Azarmir, Shahla Mirzaei, Davoud Hassanzadeh, Taravat Ghafourian, William Eugene Acree Jr, Ali Nokhodchi
The solubility of paracetamol in water-ethanol-propylene glycol binary and ternary mixtures at 25 and 30°C was determined using flask shake method. The generated data extended the solubility database for further computational investigations and also was used to assess the prediction capability of the Jouyban-Acree model. A new version of the model was proposed for modeling the solubility data in water-cosolvent mixtures with the cosolvent concentration of <50% which is required in pharmaceutical formulations. The accuracy of the predicted solubilities was evaluated by the mean percentage deviation (MPD) between the predicted and experimental solubilities. The overall MPD of the Jouyban-Acree model and the log-linear model of Yalkowsky for the entire composition range of the cosolvents were 11.0±8.7 and 55.4±17.8%, respectively; the corresponding values for the predicted solubilities in mixtures having a cosolvent concentration of <50% were 12.0±9.1 and 22.0±11.0%. © 2008 Pharmaceutical Society of Japan.

History

Publication status

  • Published

File Version

  • Published version

Journal

Chemical and Pharmaceutical Bulletin

ISSN

0009-2363

Publisher

Pharmaceutical Society of Japan

Issue

4

Volume

56

Page range

602-606

Department affiliated with

  • Chemistry Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2015-01-05

First Open Access (FOA) Date

2015-01-05

First Compliant Deposit (FCD) Date

2015-01-05

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC