Prediction of the surface tension of deep eutectic solvents
Shahbaz, K., Mjalli, F.S., Hashim, M.A., and AlNashef, I.M. (2012) Prediction of the surface tension of deep eutectic solvents. Fluid Phase Equilibria, 319. pp. 48-54.
![[img]](https://researchonline.jcu.edu.au/style/images/fileicons/application_pdf.png) |
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
Surface tension is one of the important deep eutectic solvents (DESs) physical properties which provides considerable information related to the molecular influence on the intensity of interactions in the mixture. Due to the absence of DESs surface tension experimental data, prediction methods of this property become of high importance. In this work, two simple methods for the prediction of DESs surface tension are presented. The first method reports the use of the parachor to predict surface tension. In the second method, the effect of temperature variation on surface tension was predicted using the Othmer equation. The parachor of nine different DESs based on ammonium and phosphunium salts were determined experimentally as well as calculated from the molecular structure of their constituting components using available parachor contribution data for neutral compounds. The results showed that calculated and experimental parachor of DESs were notably close and that the parachor contribution data developed for neutral compounds can be successfully utilized for deep eutectic solvents with an average surface tension prediction percentage error of 6.4%. The average prediction percentage error using the Othmer equation was 2.57%. This proves that surface tension of DESs can be predicted efficiently using either one of the two suggested methods.
| Item ID: | 86810 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 0378-3812 |
| Copyright Information: | © 2012 Elsevier B.V. All rights reserved. |
| Date Deposited: | 28 Oct 2025 03:03 |
| FoR Codes: | 40 ENGINEERING > 4004 Chemical engineering > 400499 Chemical engineering not elsewhere classified @ 100% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering @ 100% |
| Downloads: |
Total: 1 Last 12 Months: 1 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |