Probing structural patterns of ion association and solvation in mixtures of imidazolium ionic liquids with acetonitrile by means of relative1H and13C NMR chemical shifts

2015 ◽  
Vol 17 (35) ◽  
pp. 23183-23194 ◽  
Author(s):  
Bogdan A. Marekha ◽  
Oleg N. Kalugin ◽  
Marc Bria ◽  
Abdenacer Idrissi
Keyword(s):  
Ionic Liquids ◽  
Chemical Shift ◽  
Chemical Shifts ◽  
Ion Association ◽  
Ion Solvation ◽  
Mixture Composition ◽  
Imidazolium Ionic Liquids ◽  
Structural Patterns ◽  
Nmr Chemical Shifts ◽  
Molecular Solvents

Competition between ion solvation and association in mixtures of imidazolium ionic liquids and molecular solvents can be systematically addressed by the analysis of relative chemical shift variation with mixture composition.

Ab Initio Prediction of Proton NMR Chemical Shifts in Imidazolium Ionic Liquids

2013 ◽  
Vol 117 (11) ◽  
pp. 3186-3197 ◽  
Author(s):  
Su Chen ◽  
R. Vijayaraghavan ◽  
Douglas R. MacFarlane ◽  
Ekaterina I. Izgorodina
Keyword(s):  
Ionic Liquids ◽  
Ab Initio ◽  
Chemical Shifts ◽  
Proton Nmr ◽  
Imidazolium Ionic Liquids ◽  
Nmr Chemical Shifts ◽  
Ab Initio Prediction

Origin of the 29Si NMR chemical shift in R3Si–X and relationship to the formation of silylium (R3Si+) ions

2020 ◽  
Vol 49 (45) ◽  
pp. 16453-16463 ◽  
Author(s):  
Winn Huynh ◽  
Matthew P. Conley
Keyword(s):  
Chemical Shift ◽  
Chemical Shifts ◽  
29Si Nmr ◽  
Surface Oxygen ◽  
Nmr Chemical Shift ◽  
Dft Methods ◽  
Nmr Chemical Shifts

The origin in deshielding of 29Si NMR chemical shifts in R3Si–X, where X = H, OMe, Cl, OTf, [CH6B11X6], toluene, and OX (OX = surface oxygen), as well as iPr3Si+ and Mes3Si+ were studied using DFT methods.

Aggregation behavior of pyridinium based ionic liquids in water – Surface tension, 1H NMR chemical shifts, SANS and SAXS measurements

2012 ◽  
Vol 371 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Nandhibatla V. Sastry ◽  
Nilesh M. Vaghela ◽  
Pradip M. Macwan ◽  
Saurabh S. Soni ◽  
Vinod K. Aswal ◽  
...  
Keyword(s):  
Surface Tension ◽  
Ionic Liquids ◽  
1H Nmr ◽  
Water Surface ◽  
Chemical Shifts ◽  
Aggregation Behavior ◽  
Nmr Chemical Shifts

Carbon-13 chemical shifts of alkene carbons in 2-acylidene-3,5-diaryl-2,3-dihydro-1,3,4-thiadiazoles and related benzothiazoles and -selenazoles, and their relationship to other push-pull alkenes

1996 ◽  
Vol 74 (7) ◽  
pp. 1329-1334 ◽  
Author(s):  
Jennifer L. Mueller ◽  
Martin S. Gibson ◽  
J. Stephen Hartman
Keyword(s):  
Chemical Shift ◽  
Key Words ◽  
Chemical Shifts ◽  
Charge Delocalization ◽  
Nmr Chemical Shifts ◽  
Charge Polarization

Carbon-13 chemical shifts of alkene carbons are observed in the ranges 78–109 ppm (Cα) and 154–164 ppm (Cβ) for a series of 11 2-acylidene-3,5-diaryl-2,3-dihydro-1,3,4-thiadiazoles, 3 2-acylidene-3-alkyl-2,3-dihydrobenzothiazoles, and 2 2-acylidene-3-alkyl-2,3-dihydrobenzoselenazoles of known geometry, indicating appreciable charge polarization in these compounds as in other push–pull olefins. Substitution that promotes more extensive charge delocalization results in the Cα signal shifting to the higher-frequency end of the chemical shift range. The observed shifts are compared with those calculated according to the Pretsch scheme. Key words: carbon-13 NMR, chemical shifts, push–pull olefins, 1,3,4-thiadiazoles, benzothiazoles, benzoselenazoles.

Plasmonic behavior of ionic liquid stabilized gold nanoparticles in molecular solvents

2017 ◽  
Vol 41 (21) ◽  
pp. 12989-12995 ◽  
Author(s):  
Sachin Thawarkar ◽  
Balu Thombare ◽  
Nageshwar D. Khupse
Keyword(s):  
Gold Nanoparticles ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Surface Plasmon Resonance ◽  
Dielectric Properties ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Facile Synthesis ◽  
Imidazolium Ionic Liquids ◽  
Molecular Solvents

In this paper, we have demonstrated the facile synthesis of stable gold nanoparticles (AuNPs) using imidazolium ionic liquids (ImILs) as a stabilizer as well as a surfactant and their surface plasmon resonance (SPR) in different molecular solvents with varying dielectric properties.

Carbon-13 nuclear magnetic resonance studies of organotellurium compounds. II. Chemical shift trends

1982 ◽  
Vol 60 (5) ◽  
pp. 596-600 ◽  
Author(s):  
Raj. K. Chadha ◽  
Jack M. Miller
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Chemical Shift ◽  
Chemical Shifts ◽  
Magnetic Resonance Studies ◽  
Nmr Chemical Shifts ◽  
Organic Group ◽  
Opposite Trend ◽  
Organotellurium Compounds ◽  
C Nmr

13C nmr chemical shifts are reported for some aromatic and aliphatic tellurium compounds. For a given organic group, the shift of the C1 atom varies in the order [Formula: see text], as expected from electronegative considerations. The C2 atom experiences an opposite trend while the C3 and C4 atoms of the ring experience smaller changes. The chemical shifts of para-substituted aromatic tellurium compounds do not show additivity of contributions from the substituents.

scholarly journals An automated framework for high-throughput predictions of NMR chemical shifts within liquid solutions

2021 ◽  
Author(s):  
Rasha Atwi ◽  
Ying Chen ◽  
Kee Sung Han ◽  
Karl Mueller ◽  
Vijayakumar Murugesan ◽  
...  
Keyword(s):  
Chemical Shift ◽  
High Throughput ◽  
Chemical Shifts ◽  
Computational Techniques ◽  
Test Case ◽  
Biomolecular Systems ◽  
Nmr Chemical Shifts ◽  
Stable Species ◽  
Daunting Task ◽  
Liquid Solutions

Abstract Identifying stable speciation in multicomponent liquid solutions is of fundamental importance to areas ranging from electrochemistry to organic chemistry and biomolecular systems. However, elucidating this complex solvation environment is a daunting task even when using advanced experimental and computational techniques. Here, we introduce a fully automated, high-throughput computational framework for the accurate and robust prediction of stable species present in liquid solutions by computing the nuclear magnetic resonance (NMR) chemical shifts of molecules. The framework automatically extracts and categorizes hundreds of thousands of atomic clusters from classical molecular dynamics (CMD) simulations to identify the most stable speciation in the solution and calculate their NMR chemical shifts via DFT calculations. Additionally, the framework creates an output database of computed chemical shifts for liquid solutions across a wide chemical and parameter space. This task can be infeasible experimentally and challenging using conventional computational methods. To demonstrate the capabilities of our framework, we compare our computational results to experimental measurements for a complex test case of magnesium bis(trifluoromethanesulfonyl)imide Mg(TFSI)2 salt in dimethoxyethane (DME) solvent, which is a common electrolyte system for Mg-based batteries. Our extensive benchmarking and analysis of the Mg2+ solvation structural evolutions reveal critical factors such as the effect of force field parameters that influence the accuracy of NMR chemical shift predictions in liquid solutions. Furthermore, we show how the framework reduces the efforts of performing and managing over 300 13C and 600 1H DFT chemical shift predictions to a single submission procedure. By enabling more efficient and accurate high-throughput computations of NMR chemical shifts, our approach can accelerate theory-guided design of liquid solutions for various applications.

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