Literature DB >> 31826301

Spectral deconvolution in electrophoretic NMR to investigate the migration of neutral molecules in electrolytes.

Florian Schmidt1, Andrea Pugliese2, Catherine C Santini3, Franca Castiglione2, Monika Schönhoff1.   

Abstract

Electrophoretic nuclear magnetic resonance (eNMR) is a powerful tool in studies of nonaqueous electrolytes, such as ionic liquids. It delivers electrophoretic mobilities of the ionic constituents and thus sheds light on ion correlations. In applications of liquid electrolytes, uncharged additives are often employed, detectable via 1 H NMR. Characterizing their mobility and coordination to charged entities is desirable; however, it is often hampered by small intensities and 1 H signals overlapping with major constituents of the electrolyte. In this work, we evaluate methods of phase analysis of overlapping resonances to yield electrophoretic mobilities even for minor constituents. We use phase-sensitive spectral deconvolution via a set of Lorentz distributions for the investigation of the migration behavior of additives in two different ionic liquid-based lithium salt electrolytes. For vinylene carbonate as an additive, no field-induced drift is observed; thus, its coordination to the Li+ ion does not induce a correlated drift with Li+ . On the other hand, in a solvate ionic liquid with tetraglyme (G4) as an additive, a correlated migration of tetraglyme with lithium as a complex solvate cation is directly proven by eNMR. The phase evaluation procedure of superimposed resonances thus broadens the applicability of eNMR to application-relevant complex electrolyte mixtures containing neutral additives with superimposed resonances.
© 2019 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.

Entities:  

Keywords:  19F; 1H; 7Li; NMR; PFG-NMR; battery electrolytes; electrophoretic NMR; ionic liquid; lithium transport; phase analysis

Year:  2020        PMID: 31826301     DOI: 10.1002/mrc.4978

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  1 in total

1.  An R-Package for the Deconvolution and Integration of 1D NMR Data: MetaboDecon1D.

Authors:  Martina Häckl; Philipp Tauber; Frank Schweda; Helena U Zacharias; Michael Altenbuchinger; Peter J Oefner; Wolfram Gronwald
Journal:  Metabolites       Date:  2021-07-13
  1 in total

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