Thermochemical properties of 1-butyl-3-methylimidazolium nitrate

Strechan, A.A.; Kabo, Andrey G.; Paulechka, Yauheni U.; Blokhin, Andrey V.; Kabo, Gennady J.; Shaplov, Alexander S.; Lozinskaya, Elena I.

doi:10.1016/j.tca.2008.05.002

Cited by 80 publications

(50 citation statements)

References 35 publications

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“…For given organic anions of interest, we have observed facilitated vitrification of substrate preparations when replacing alkali ions by bulky organic cations. Facilitated vitrification due to the presence of sterically demanding groups has previously been reported [27,28]. Specifically, we find that the ammonium form of the bio-tolerable TRIS molecule (pKa 8.06) can be used to vitrify various carboxylate compounds that are prone to crystallization as sodium salts.…”

Section: Resultssupporting

confidence: 51%

Development of Dissolution DNP-MR Substrates for Metabolic Research

Karlsson¹,

Jensen²,

Duus

et al. 2012

Appl Magn Reson

106

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Dissolution dynamic nuclear polarization (DNP) provides a broadly applicable and rather simple means of developing probes for the real-time molecular imaging of cellular functions in vivo. The development of novel dissolution DNP substrate formulations is only rewarding for substrates that yield detectable metabolism within few minutes. In addition, in vivo preparations usually require amorphous samples at molar substrate concentrations for an efficient and reproducible DNP step with sufficient material. The composition ranges of novel substrate preparations need to be established experimentally owing to the solute's impact on vitrification behavior. Here, we describe simple rationales employed in the development of novel substrate preparations for dissolution DNP-magnetic resonance. Solution state substrate polarizations between 10 and 40 % have been obtained for *40 metabolic substrates in highly concentrated preparations that yield physiologically tolerable solutions with sufficient T 1 for in vivo nuclear magnetic resonance. Substrate metabolism is observed for novel in vivo substrates such as 3-hydroxybutyrate and aspartate.

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Section: Resultssupporting

confidence: 51%

Development of Dissolution DNP-MR Substrates for Metabolic Research

Karlsson¹,

Jensen²,

Duus

et al. 2012

Appl Magn Reson

106

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“…The physical properties of pure 1-butyl-3-methylimidazolium nitrate [Bmim][NO 3 ], and its binaries with alcohol (ethanol, propanol, or butanol) are measured at different temperature. The [Bmim] [NO 3 ] is a halogen-free IL and thus more environment friendly [4]. Furthermore, nitrate-based ionic liquids are successfully utilized as interesting medium for dissolution and stabilization of metal salts [5] and enzymes [6].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, nitrate-based ionic liquids are successfully utilized as interesting medium for dissolution and stabilization of metal salts [5] and enzymes [6]. There are a number of papers, which have studied the physical properties of pure [Bmim] [NO 3 ] [4,[6][7][8][9]. However, to our knowledge there are no data reported for its binaries with alcohol.…”

Section: Introductionmentioning

confidence: 99%

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Density and viscosity of 1-butyl-3-methylimidazolium nitrate with ethanol, 1-propanol, or 1-butanol at several temperatures

Mokhtarani

Sharifi

Mortaheb

et al. 2009

The Journal of Chemical Thermodynamics

169

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“…In particular, for the heat capacity of ILs, group-contribution methods have been proposed in the literature [14,15] and some correlations are also available [16,17]. What is common in all these proposals is the use of some parameters related to the structure of the molecule.…”

Section: Introductionmentioning

confidence: 99%

Heat Capacity of Ionic Liquids Using Artificial Neural Networks and the Concept of Mass Connectivity

2011

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Artificial neural networks and the concept of mass connectivity index are used to correlate and predict the heat capacity at constant pressure of ionic liquids (ILs). Different topologies of a multilayer feed-forward artificial neural network were studied, and the optimum architecture was determined. Heat-capacity data at several temperatures taken from the literature for 31 ILs with 477 data points were used for training the network. To discriminate among the different substances, the molecular mass of the anion and of the cation and the mass connectivity index were considered as the independent variables. The capabilities of the designed network were tested by predicting heat capacities for situations not considered during the training process (65 heat-capacity data for nine ILs). The results demonstrate that the chosen network and the variables considered allow estimating the heat capacity of ILs with acceptable accuracy for engineering calculations. The program codes and the necessary input Electronic supplementary material The online version of this article (123 Int J Thermophys (2011) 32:942-956 943 files to calculate the mass connectivity index and the heat capacity for other ILs are provided.

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Thermochemical properties of 1-butyl-3-methylimidazolium nitrate

Cited by 80 publications

References 35 publications

Development of Dissolution DNP-MR Substrates for Metabolic Research

Development of Dissolution DNP-MR Substrates for Metabolic Research

Density and viscosity of 1-butyl-3-methylimidazolium nitrate with ethanol, 1-propanol, or 1-butanol at several temperatures

Heat Capacity of Ionic Liquids Using Artificial Neural Networks and the Concept of Mass Connectivity

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