Density and viscosity of pyridinium-based ionic liquids and their binary mixtures with water at several temperatures

Mokhtarani, Babak; Sharifi, Ali; Mortaheb, Hamid Reza; Mirzaei, Mojtaba; Mafi, Morteza; Sadeghian, Fatemeh

doi:10.1016/j.jct.2008.09.001

Cited by 175 publications

(134 citation statements)

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“…The mass fraction of 60 % seems like a boundary for changes in the densities and viscosities of aqueous TMEAC. The densities and viscosities of the binary mixture of aqueous TMEAC present behaviors similar to those of pyridiniumbased ionic liquids [34]. …”

Section: Measurements Of Density and Viscositymentioning

confidence: 76%

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Density, Viscosity and Excess Molar Volume of the Aqueous Ionic Liquid Tris(monoethanolamine) Citrate at 293.15–323.15 K

Zhang

et al. 2014

J Solution Chem

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A new ionic liquid, tris(monoethanolamine) citrate (TMEAC), was synthesized and characterized by FT-IR spectrometry and 1 H NMR. Densities and viscosities of aqueous TMEAC mixtures were determined at 293.15-323.15 K and atmospheric pressure. The thermal expansion coefficient a, excess molar volume V E m , and excess logarithm of viscosity (ln g) E were calculated to evaluate the properties of the aqueous TMEAC ionic liquid. Correlation equations were fitted using these data for the calculation of density and viscosity. The results show that the density increases almost linearly as the mass fraction of TMEAC increases. The mass fraction of TMEAC has little influence on the density at low mass fraction. The viscosity changes significantly and sharply increases at mass fractions larger than 60 %. Both density and viscosity decrease as the temperature increases. The thermal expansion coefficient initially decreases and then increases with increase of the mass fraction of TMEAC. The change of the excess molar volume presents a W-shape. The excess logarithm of viscosity shows a variation where the value initially rises but subsequently drops. Values calculated from the correlation equations are in good agreement with the experimental values. The correlation equations can offer additional results for the aqueous TMEAC ionic liquid.Electronic supplementary material The online version of this article (

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Section: Measurements Of Density and Viscositymentioning

confidence: 76%

“…11) are needed for representing viscosity versus concentration w for the aqueous TMEAC ionic liquid. These correlation equations are much the same as used for systems with pyridiniumbased ionic liquids [34]:…”

Section: Fitting and Calculation Of Density And Viscositymentioning

confidence: 99%

Density, Viscosity and Excess Molar Volume of the Aqueous Ionic Liquid Tris(monoethanolamine) Citrate at 293.15–323.15 K

Zhang

et al. 2014

J Solution Chem

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“…Except for OMIM-Cl at high solvent concentration (which could be wrong data), it seems that the three systems present a similar viscosity value. In Figure 21 we present six different systems with common BF 4 anion and different cations: three alkyl-MIM (Rilo et al, 2010a), two alkyl-dMIM (Malhan& Turmine, 2008;Ge et al, 2009) and one alkyl pyridinium (Mokhtarani et al, 2009b). As expected the viscosity value increases with the size of the cation, being much higher for the dimethyl cation IL mixtures.…”

Section: Discussion Of Resultsmentioning

confidence: 60%

Physical Properties of Binary Mixtures of ILs with Water and Ethanol. A Review.

Cabeza¹,

Garcı́a-Garabal²,

Segade³

et al. 2011

Ionic Liquids: Theory, Properties, New Approaches

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“…In general, the study of the physical properties of binary mixtures of liquids has a huge interest, both scientific and industrial [1][2][3][4] . Supercritical carbon dioxide has attracted much attention due to the advantages of having a low critical temperature (T= 304.18 K) and critical pressure (P=7.38 MPa) for being used as a supercritical fluid [5][6][7] .…”

Section: Introductionmentioning

confidence: 99%

Relative Permittivity of Carbon Dioxide + Ethanol Mixtures prediction by means of Artificial Neural Networks

et al. 2012

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CO 2 + ethanol mixtures have a huge scientific interest and enormous relevance for many industrial processes. Obtaining of their chemical and physical properties is a fundamental task. Relative permittivity ( r ) of these mixtures is a key property because allows a better knowledge of the structure and the interactions in other media. In this work predictive values of relative permittivity ( r ) of carbon dioxide + ethanol mixtures were obtained implementing artificial neural networks (ANN s ). They are used successfully in very different fields; therefore it is a very useful tool. In this case the obtained results enhance the ones from the usual multiple linear regression analysis. In both cases mass fraction, pressure and temperature experimental data from a direct capacitance method were used.

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Density and viscosity of pyridinium-based ionic liquids and their binary mixtures with water at several temperatures

Cited by 175 publications

References 18 publications

Density, Viscosity and Excess Molar Volume of the Aqueous Ionic Liquid Tris(monoethanolamine) Citrate at 293.15–323.15 K

Density, Viscosity and Excess Molar Volume of the Aqueous Ionic Liquid Tris(monoethanolamine) Citrate at 293.15–323.15 K

Physical Properties of Binary Mixtures of ILs with Water and Ethanol. A Review.

Relative Permittivity of Carbon Dioxide + Ethanol Mixtures prediction by means of Artificial Neural Networks

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