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Eq13 model dataset | training | 12 | 0.955 | 0.040 |
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Eq14 model dataset | training | 10 | 0.659 | 0.077 |
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Eq15 model dataset | training | 9 | 0.891 | 0.051 |
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Eq16 model dataset | training | 13 | 0.851 | 0.137 |
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Eq17 model dataset | training | 10 | 0.986 | 0.045 |
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Eq18 model dataset | training | 7 | 0.997 | 0.010 |
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Eq19 model dataset | training | 13 | 0.580 | 0.336 |
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Eq20 model dataset | training | 10 | 0.984 | 0.052 |
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Eq21 model dataset | training | 8 | 0.925 | 0.134 |
When using this QDB archive, please cite (see details) it together with the original article:
Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. Data for: Exploring the influence of ionic liquid anion structure on gas-ionic liquid partition coefficients of organic solutes using machine learning. QsarDB repository, QDB.262. 2024. https://doi.org/10.15152/QDB.262
Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. Exploring the influence of ionic liquid anion structure on gas-ionic liquid partition coefficients of organic solutes using machine learning. Langmuir 2024, 40, 23714–23728. https://doi.org/10.1021/acs.langmuir.4c02628
dc.contributor.other | Authors are grateful for support from the Ministry of Education and Research, Republic of Estonia, through the Estonian Research Council (grant number PRG1509) | |
dc.date.accessioned | 2024-09-02T14:39:47Z | |
dc.date.available | 2024-09-02T14:39:47Z | |
dc.date.issued | 2024-09-02 | |
dc.identifier.uri | http://hdl.handle.net/10967/262 | |
dc.identifier.uri | http://dx.doi.org/10.15152/QDB.262 | |
dc.description.abstract | This article presents an in-depth investigation into the influence of anionic structures of ionic liquids (ILs) on gas-ionic liquid partition coefficients (log K) of organic solutes in three ILs. While the primary objective was to examine whether there is a relationship between the molecular structure of the IL anion component and log K, additionally it was looked at whether the molecular descriptors of the anion in the relationships encode possible molecular interactions during the miscibility and partitioning in IL. The research involves the compilation of data series of experimental log K values, where the cation component is constant. Such representative data series were obtained for three solutes — benzene, cyclohexane, and methanol — in three ILs with a uniform cationic component of methyl imidazolium. Using multiple linear regression models enhanced with machine learning techniques, the relationship between anionic structures and log K values was successfully quantified and modeled. Systematically selected molecular descriptors describing the anion structure show that in the case of methanol log K is strongly dependent on hydrogen bonds and Coulomb-dipolar interactions with the anion component, while in the case of benzene and cyclohexane the dispersion forces of the anion component are dominant. The outlier analysis and data interpretation highlight the need for extensive experimental data. The results confirm the initial hypothesis and provide valuable information on the role of the structure of anionic component in determining the partitioning behavior of organic solutes. This knowledge is important for the design and optimization of ILs for specific applications, particularly as solvents in various industrial processes. The research also provides useful information about molecular interactions taking place in the interfaces of IL and organic additives in complex liquid media such as multicomponent electrolyte solutions, for example in energy storage applications. | en_US |
dc.publisher | Karl Marti Toots | |
dc.publisher | Sulev Sild | |
dc.publisher | Jaan Leis | |
dc.publisher | William E. Acree | |
dc.publisher | Uko Maran | |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. Exploring the influence of ionic liquid anion structure on gas-ionic liquid partition coefficients of organic solutes using machine learning. Langmuir, 2024, 40, 23714–23728 | |
qdb.property.endpoint | 6. Other (Gas-ionic liquid partition coefficient) | en_US |
qdb.descriptor.application | Mordred 1.2.1a1 | en_US |
qdb.prediction.application | scikit-learn 0.24.1 | en_US |
bibtex.entry | article | en_US |
bibtex.entry.author | Toots, Karl Marti | |
bibtex.entry.author | Sild, Sulev | |
bibtex.entry.author | Leis, Jaan | |
bibtex.entry.author | Acree, William E. | |
bibtex.entry.author | Maran, Uko | |
bibtex.entry.doi | 10.1021/acs.langmuir.4c02628 | |
bibtex.entry.journal | Langmuir | en_US |
bibtex.entry.pages | 23714–23728 | |
bibtex.entry.title | Exploring the influence of ionic liquid anion structure on gas-ionic liquid partition coefficients of organic solutes using machine learning | en_US |
bibtex.entry.volume | 40 | |
bibtex.entry.year | 2024 | |
qdb.model.type | Regression model (regression) | en_US |
Name | Description | Format | Size | View |
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article3_qsardb_20240831.zip | MLR QSPR-s for gas-ionic liquid partition coefficients, influence of ionic liquids anion structure | application/zip | 26.72Kb | View/ |