A global model to predict density of non-aqueous binary solvent mixtures at various temperatures

Abstract

The combined form of the Jouyban-Acree model and the calculated Abraham solute parameters has been used to predict the density of binary solvent mixtures at various temperatures. The proposed model has been trained using 290 binary solvent systems at different temperatures (278.15 to 353.15 K) and concentration ranges. The results are discussed in terms of mean relative deviations (MRDs) between computed and experimental densities as an accuracy criterion. The MRD of the proposed model is 1.2 +/- 1.9 %, indicating that the proposed model, together with the calculated Abraham parameters, is accureate to reproduce the concentration and temperature dependence of density values of binary solvent mixtures.