Predicting physical properties of ionic liquids
Abstract
A simple method to predict the densities of a range of ionic liquids from their surface tensions, and vice versa, using a surface-tension-weighted molar volume, the parachor, is reported. The parachors of ionic liquids containing 1-alkyl-3-methylimidazolium cations were determined experimentally, but were also calculated directly from their structural compositions using existing parachor contribution data for neutral compounds. The calculated and experimentally determined parachors were remarkably similar, and the latter data were subsequently employed to predict the densities and surface tensions of the investigated ionic liquids. Using a similar approach, the molar refractions of ionic liquids were determined experimentally, as well as calculated using existing molar refraction contribution data for uncharged compounds. The calculated molar refraction data were employed to predict the refractive indices of the ionic liquids from their surface tensions. The errors involved in the refractive index predictions were much higher than the analogous predictions employing the parachor, but nevertheless demonstrated the potential for developing parachor and molar refraction contribution data for ions as tools to predict ionic liquid physical properties.
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Ionic liquids can be customized with pre-selected characteristics such as high thermal stability, moisture stability, and ion selectivity by careful selection of the cation and anion.
“Perhaps the most attractive feature of ILs for ED Li recovery is that they can be customized with pre-selected characteristics such as high thermal stability, moisture stability, and ion selectivity, by careful selection of the cation and anion (Seddon et al., 2000; Seddon et al., 2002; Deetlefs et al., 2006; Zavahir et al., 2021).”
From A review of technologies for direct lithium extraction from low Li+ concentration aqueous solutions (2022) · cites this paper as Deetlefs et al., 2006
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Florindo, C., Oliveira, F. S., Rebelo, L. P. N., Fernandes, A. M., & Marrucho, I. M. (2014) · ACS Sustainable Chemistry & Engineering · doi:10.1021/sc500439w · Cited by 977 · see citing works
Deep learning for computational chemistry
Goh, G. B., Hodas, N. O., & Vishnu, A. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.24764 · Cited by 809 · see citing works
A review of technologies for direct lithium extraction from low Li+ concentration aqueous solutions
Murphy, O., & Haji, M. N. (2022) · Frontiers in Chemical Engineering · doi:10.3389/fceng.2022.1008680 · Cited by 157 · see citing works
“Perhaps the most attractive feature of ILs for ED Li recovery is that they can be customized with pre-selected characteristics such as high thermal stability, moisture stability, and ion selectivity, by careful selection of the cation and anion (Seddon et al., 2000; Seddon et al., 2002; Deetlefs et al., 2006; Zavahir…”
Background
- Authors
- Deetlefs, M., Seddon, K. R., & Shara, M.
- Affiliations
- Queen's University Belfast (GB)
- American Museum of Natural History (US)
- ORCID
- Shara, Michael
- Venue
- Phys. Chem. Chem. Phys.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2006
- Volume
- 8
- Issue
- 5
- Pages
- 642-649
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W1981246595
- Cited by
- 411
- References
- 0
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 16 · 2023: 18 · 2022: 26 · 2021: 18 · 2020: 16 · 2019: 14 · 2018: 24 · 2017: 32 · 2016: 21 · 2015: 19 · 2014: 34 · 2013: 29 · 2012: 31
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physical Chemistry Chemical Physics (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Topics
- Physical Sciences › Chemical Engineering › Catalysis › Ionic liquids properties and applications
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Thermodynamic properties of mixtures
- Physical Sciences › Engineering › Mechanical Engineering › Lubricants and Their Additives
- Keywords
- ionic liquids, parachor, molar refractivity, surface tension, density prediction, refractive index prediction, physical property prediction
- MeSH terms
- Chemistry, Physical, Imidazoles, Ions, Mathematics, Refractometry, Solutions, Solvents, Surface Tension, Temperature, Chemical Phenomena
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