Khoubnasabjafari, M and Jouyban, V and Fathi Azarbaijani, A and Jouyban, A (2013) Application of Abraham solvation parameters for surface tension prediction of mono-solvents and solvent mixtures at various temperatures. Journal of Molecular Liquids, 178. pp. 44-56.
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Abstract
A combined form of the Jouyban–Acree model and the Abraham solvation parameters was used to predict the
surface tension of binary and ternary solvent mixtures at various temperatures. The new equations have been
tested by comparisons with the experimental results for 364 binary and 79 ternary mixtures reported in the literature.
After the training procedures, the models were used for the prediction of the surface tension of mixed
solvent systems. The mean relative deviations (MRDs) between predicted and experimental surface tensions
are used as an accuracy criterion. The overall MRD for binary mixtures was 6.5% and the corresponding value
for ternary mixtures was 11.2%. These versions of the models require the experimental surface tension of the
mono-solvents as input data. An attempt has been made here to correlate the surface tension of the
mono-solvents at various temperatures using Abraham parameters. The model calculates the surface tension
with theMRD of 11.0%. A combined version of themodelswas presented to predict the surface tension of binary
and ternary mixtures without using any experimental input data in which the MRDs of 14.6 and 11.7% were
obtained. Results show that the addition of solvation parameters may lead to an improvement in the calculated
surface tension and show good agreement between theory and experiment.
Item Type: | Article |
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Additional Information: | cited By 3 |
Uncontrolled Keywords: | Surface tension Jouyban–Acree model Solvent mixtures Temperature Abraham solvation parameters |
Subjects: | R Medicine > R Medicine (General) |
Depositing User: | Unnamed user with email gholipour.s@umsu.ac.ir |
Date Deposited: | 31 Jul 2017 06:50 |
Last Modified: | 13 Feb 2019 08:02 |
URI: | https://eprints.umsu.ac.ir/id/eprint/862 |