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March 26, 2026The Journal of Physical Chemistry C2 citationsOpen Access

23 Na NMR Chemical Shift as a Descriptor of Sodium Electrode Potential

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HTHiroshi TakidaYKYasuyuki KondoYKYu Katayama

Key Points

  • This study aims to understand the relationship between sodium electrode potential and electrolyte compositions using 23Na NMR chemical shifts.
  • Systematic evaluation of sodium electrode potentials in various electrolytes.
  • Analysis of coordination states around Na+ using Raman spectroscopy and 23Na NMR.
  • Development of a predictive model based on 23Na chemical shifts and salt-to-solvent molar ratios.
  • ENa strongly correlates with 23Na chemical shifts in low concentrations, indicating solvation effects.
  • At higher concentrations, 23Na chemical shifts reflect ion-pairing states and solvation.
  • The predictive model accurately estimates ENa across diverse electrolyte compositions.

Abstract

The electrode potential of alkali metals is a critical parameter for battery performance, but its dependence on electrolyte compositions remains poorly understood, particularly for sodium metal, because of its high reactivity with electrolytes. Here, we systematically evaluated the sodium electrode potentials (ENa) in various electrolytes composed of sodium bis(fluorosulfonyl)imide, which enables stable measurements by forming a robust solid electrolyte interphase. The coordination state around Na+ in each electrolyte was analyzed by using Raman spectroscopy and 23Na NMR. In a low-concentration regime, ENa strongly correlates with 23Na chemical shifts that reflect the electron-donating ability of solvents, indicating that the solvating ability is the primary determinant of ENa. At a higher concentration, ab initio molecular dynamics simulations revealed that the 23Na chemical shifts reflected the ion-pairing state, as well as solvation. Leveraging these insights, we developed a simple yet powerful predictive model for the ENa. By using only 23Na chemical shifts and salt-to-solvent molar ratios, the model can accurately predict ENa across diverse electrolytes. This work identifies a new descriptor of ENa and provides a platform for rational electrolyte design for advanced sodium batteries.

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Cite This Study

Takida et al. (2026) studied this question.

synapsesocial.com/papers/69c4cd5afdc3bde44891980bhttps://doi.org/10.1021/acs.jpcc.5c08725
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