Insights into the surface composition and enrichment effects of ionic liquids and ionic liquid mixtures

2010 ◽  
Vol 12 (8) ◽  
pp. 1905 ◽  
Author(s):  
F. Maier ◽  
T. Cremer ◽  
C. Kolbeck ◽  
K. R. J. Lovelock ◽  
N. Paape ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Surface Composition ◽  
Liquid Mixtures

Rapid relaxation NMR measurements to predict rate coefficients in ionic liquid mixtures. An examination of reaction outcome changes in a homologous series of ionic liquids

2021 ◽  
Author(s):  
Daniel C Morris ◽  
Stuart W Prescott ◽  
Jason B Harper
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Homologous Series ◽  
Rate Coefficient ◽  
Liquid Mixtures ◽  
Solvent Mixture ◽  
Rate Coefficients ◽  
Substitution Process

A series of ionic liquids based on the 1-alkyl-3-methylimidazolium cations were examined as components of the solvent mixture for a bimolecular substitution process. The effects on both the rate coefficient...

Eutectic ionic liquid mixtures and their effect on CO2 solubility and conductivity

RSC Advances ◽  
2015 ◽  
Vol 5 (63) ◽  
pp. 51407-51412 ◽  
Author(s):  
Anna S. Ivanova ◽  
Thomas Brinzer ◽  
Elliot A. Roth ◽  
Victor A. Kusuma ◽  
John D. Watkins ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Binary System ◽  
Liquid Mixtures ◽  
Short Chain ◽  
Co2 Solubility

A simple binary system of compounds resembling short-chain versions of popular ionic liquids has been shown to have alloying properties.

Neat ionic liquids versus ionic liquid mixtures: a combination of experimental data and molecular simulation

2019 ◽  
Vol 21 (42) ◽  
pp. 23305-23309 ◽  
Author(s):  
Andreia S. L. Gouveia ◽  
Carlos E. S. Bernardes ◽  
Elena I. Lozinskaya ◽  
Alexander S. Shaplov ◽  
José N. Canongia Lopes ◽  
...  
Keyword(s):  
Experimental Data ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Molecular Simulation ◽  
Liquid Mixtures

Simple mixtures of ionic liquids (IL–IL mixtures) can become a promising approach for the substitution of task-specific ILs.

Protein packaging in ionic liquid mixtures: an ecofriendly approach towards the improved stability of β-lactoglobulin in cholinium-based mixed ionic liquids

2020 ◽  
Vol 22 (26) ◽  
pp. 14811-14821 ◽  
Author(s):  
Anamika Sindhu ◽  
Sumit Kumar ◽  
Dibyendu Mondal ◽  
Indra Bahadur ◽  
Pannuru Venkatesu
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Aqueous Solutions ◽  
Liquid Mixtures ◽  
Improved Stability ◽  
Β Lactoglobulin

The present work demonstrates a pioneering approach for the packaging of β-LG with improved stability in the presence of aqueous solutions containing cholinium-based ionic liquid mixtures.

scholarly journals Lyotropic liquid crystal phase behavior of a cationic amphiphile in aqueous and non-stoichiometric protic ionic liquid mixtures

Soft Matter ◽  
2020 ◽  
Vol 16 (41) ◽  
pp. 9456-9470
Author(s):  
Dilek Yalcin ◽  
Calum J. Drummond ◽  
Tamar L. Greaves
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Liquid Crystal ◽  
Self Assembly ◽  
Liquid Mixtures ◽  
Lyotropic Liquid Crystal ◽  
Liquid Crystal Phase ◽  
Protic Ionic Liquids ◽  
Protic Ionic Liquid ◽  
Cationic Amphiphile

Protic ionic liquids (PILs) are the largest and most tailorable known class of non-aqueous solvents which possess the ability to support amphiphile self-assembly.

A theoretical study on mixtures of amino acid-based ionic liquids

2018 ◽  
Vol 20 (15) ◽  
pp. 10213-10223 ◽  
Author(s):  
Cesar Herrera ◽  
Mert Atilhan ◽  
Santiago Aparicio
Keyword(s):  
Molecular Dynamics ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Amino Acid ◽  
Molecular Dynamics Simulations ◽  
Theoretical Study ◽  
Liquid Mixtures ◽  
Microscopic Level ◽  
Dynamics Simulations

Ionic liquid mixtures containing amino acid anions are studied at the microscopic level using molecular dynamics simulations.

scholarly journals Developing Machine Learning Models for Ionic Conductivity of Imidazolium-Based Ionic Liquids

2021 ◽  
Author(s):  
Pratik Dhakal ◽  
Jindal Shah
Keyword(s):  
Machine Learning ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Ionic Conductivity ◽  
Liquid Mixtures ◽  
Support Vector ◽  
Learning Models ◽  
Ideal Behavior ◽  
Original Dataset ◽  
Machine Learning Models

In this work, we have developed machine learning models based on support vector machine (SVM) and artificial neural network (ANN) to correlate ionic conductivity of imidazolium-based ionic liquids. The data, collected from the NIST ILThermo Database, spans six orders of magnitude and ranges from 275-475 K. Both models were found to exhibit very good performance. The ANN-model was then used to predict ionic conductivity for all the possible combinations of cations and anions contained in the original dataset, which led to the identification of an ionic liquid with 30% higher ionic conductivity than the highest conductivity reported in the database at 298 K. The model was further employed to predict ionic conductivity of binary ionic liquid mixtures. A large number of ionic liquid mixtures were found to possess non-ideal behavior in that an intermediate mole fraction for such ionic liquid mixtures resulted in either a maximum or minimum in the ionic conductivity.

The effect of alkyl chain length on the structure and thermodynamics of protic–aprotic ionic liquid mixtures: a molecular dynamics study

2018 ◽  
Vol 20 (15) ◽  
pp. 9938-9949 ◽  
Author(s):  
Borja Docampo-Álvarez ◽  
Víctor Gómez-González ◽  
Trinidad Méndez-Morales ◽  
Julio R. Rodríguez ◽  
Oscar Cabeza ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Chain Length ◽  
Alkyl Chain ◽  
Molecular Complexes ◽  
Liquid Mixtures ◽  
Alkyl Chain Length ◽  
Ideal Behavior

Mixtures of protic and aprotic ionic liquids exhibit non-ideal behavior with increasing alkyl chain length, caused by the formation of molecular complexes.

Viscosity of Methylbenzene in [Bmim][BF4] and [Bmim][PF6] Ionic Liquids

2013 ◽  
Vol 864-867 ◽  
pp. 125-130 ◽  
Author(s):  
Bin Guo ◽  
Yu Song ◽  
Wei Zhao Liang ◽  
Dan Dan Zhang ◽  
Wei Han ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Binary Mixtures ◽  
Mole Fraction ◽  
Binary Systems ◽  
Liquid Mixtures ◽  
Temperature Range

To well know the properties of ionic liquid mixtures, the viscosity of the binary mixtures containing the methylbenzene and imidazole ionic liquids (1-butyl-3-methylimidazolium tetrafluoroborate [Bmim][BF4] or 1-butyl-3-methylimidazolium hexafluorophosphate [Bmim][PF6]) were measured. Within the temperature range from 298.15 K to 308.15 K, the viscosity of the four binary systems decreased sharply as the increase of temperature. The viscosity decreased slowly in the temperature range from 308.15 K to 338.15 K. The viscosity also decreased with decreasing of the mole fraction of ionic liquid. The viscosity of methylbenzene in the imidazole ionic liquids was in sequence: [Bmim][BF4] < [Bmim][PF6]. The experimental viscosity values had been correlated using the binary parameters of Vogel-Fulcher-Tamman equation.

High vacuum distillation of ionic liquids and separation of ionic liquid mixtures

2010 ◽  
Vol 12 (8) ◽  
pp. 1772 ◽  
Author(s):  
Alasdair W. Taylor ◽  
Kevin R. J. Lovelock ◽  
Alexey Deyko ◽  
Peter Licence ◽  
Robert G. Jones
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Vacuum Distillation ◽  
High Vacuum ◽  
Liquid Mixtures ◽  
High Vacuum Distillation
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