Mathematical Representation of Viscosity of Ionic Liquid + Molecular Solvent Mixtures at Various Temperatures Using the Jouyban–Acree Model

Article on mathematical representation of viscosity of ionic liquid and molecular solvent mixtures at various temperatures using the Jouyban-Acree model

Author's personal copy Modelling aldehyde oxidase activity in aqueous-organic solvent mixtures at various temperatures

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Abstract A model is proposed to represent the enzyme activity ratios in water -organic solvent mixtures at various temperatures. The prediction capability of the model was evaluated employing aldehyde oxidase as a model enzyme in seven water -organic solvent mixtures at 25, 35 and 45°C by using mean percentage deviation (MPD). The MPD obtained for each water -organic solvent mixture was 6.2%. A general model was also proposed employing the Abraham solvent parameters with MPD as 19.5%. The proposed models could be used in industry for speeding up the process designs where water -organic solvent mixtures at various temperatures were employed. ª 2013 Production and hosting by Elsevier B.V. on behalf of King Saud University

Mathematical representation of the density of liquid mixtures at various temperatures using Jouyban-Acree model

1553-1560Applicability of a quantitative relationship of density with mixture composition and temperature of liquid mixtures is shown using 98 density data at various temperatures, with an overall average percentage deviation (OAPD) as accuracy criterion. The OAPD of the Jouyban-Acree model is also compared with those of three previously published equations and the OAPD (±SD) of the proposed and previous equations are 0.05 ± 0.06, 0.12 ± 0.15, 0.16 ± 0.22 and 0.15 ± 0.22, respectively. The differences between OAPD of the Jouyban- Acree model with those of previous models are statistically significant (p0.0005). The prediction capability of the proposed model is also compared with that of the best reported correlative equation and the proposed model provides more accurate predictions

Solubility of salbutamol and salbutamol sulphate in ethanol + water mixtures at 25°c

Experimental solubilities of salbutamol and salbutamol sulphate in ethanol + water mixtures at 25 °C are reported. The solubility of salbutamol was found to increase with the addition of ethanol, and reached a maximum value at an ethanol volume fraction of 0.8. The solubility of salbutamol sulphate decreased with increasing ethanol concentration, and reached a minimum value in ethanol. The Jouyban-Acree model correlated the measured salbutamol and salbutamol sulphate solubility data to within mean relative deviations (MRD) of 3.4 and 13.4, respectively. Solubilities were predicted using previously trained models developed for crystalline non-electrolyte and electrolyte solutes. The trained models for non-electrolytes and electrolytes produced the prediction MRDs of 22.4 and 19.8, respectively. Crown Copyright © 2012 Published by Elsevier B.V. All rights reserved

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

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