Hyperpolarized <sup>13</sup>C NMR by Dissolution DNP Enables Snapshot Detection of Degradation Products in Lithium-Ion Battery Electrolytes

Dissolution Dynamic Nuclear Polarization (dDNP) is a powerful hyperpolarization technique enabling sensitivity gains beyond 4 orders of magnitude in solution nuclear magnetic resonance (NMR). Over the last decades, researchers' efforts have led to an extension of dDNP applications in numerous research fields. Lithium-ion batteries are one of the most widespread types of rechargeable batteries, which calls for a deeper understanding of the various physicochemical mechanisms involved in making them more efficient, safe, and sustainable. One of the key challenges lies in better understanding the degradation of the battery electrolyte to mitigate it, as it can significantly impact the battery's performance. While NMR has been used in attempts to understand these mechanisms, notably by investigating the degradation products, the intrinsic lack of sensitivity of this technique, combined with the limited accessible volume of such compounds, makes its application often challenging. In this work, we combine several state-of-the-art dDNP methodologies, including the use of recently introduced hyperpolarizing polymers (HYPOPs), to acquire hyperpolarized <sup>13</sup>C NMR spectra of battery electrolytes. We show that we can successfully detect <sup>13</sup>C signals on formulated battery electrolyte solutions in different degradation stages on a 600 MHz spectrometer, with sensitivity gains of up to 3 orders of magnitude. This work paves the way for studying lithium-ion battery electrolyte degradation under real usage conditions (cycling, thermal aging, air exposure, etc.) with a <sup>13</sup>C detection limit below the micromolar range. This methodology has the potential to provide new insights into degradation mechanisms and the role and effectiveness of additives to mitigate electrolyte degradation.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-05-24
DOI
https://doi.org/10.1021/jacs.5c03773
Citations
2
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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article

Hyperpolarized 13C NMR by Dissolution DNP Enables Snapshot Detection of Degradation Products in Lithium-Ion Battery Electrolytes

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2 citations
Journal of the American Chemical Society
Advanced NMR Techniques and Applications
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article

Hyperpolarized 13C NMR by Dissolution DNP Enables Snapshot Detection of Degradation Products in Lithium-Ion Battery Electrolytes

Damien Montarnal, Ekaterina V. Pokochueva, Anne Lesage, Simon Pondaven, Sami Jannin, James Tolchard, Nghia Huu Le, Charlotte Bocquelet, Chloé Gioiosa, Laurent Veyre, Ségolène Laage, Mohamed Ayman Ennachet, Julien Dieterich
article en
2 citations

Abstract

Dissolution Dynamic Nuclear Polarization (dDNP) is a powerful hyperpolarization technique enabling sensitivity gains beyond 4 orders of magnitude in solution nuclear magnetic resonance (NMR). Over the last decades, researchers' efforts have led to an extension of dDNP applications in numerous research fields. Lithium-ion batteries are one of the most widespread types of rechargeable batteries, which calls for a deeper understanding of the various physicochemical mechanisms involved in making them more efficient, safe, and sustainable. One of the key challenges lies in better understanding the degradation of the battery electrolyte to mitigate it, as it can significantly impact the battery's performance. While NMR has been used in attempts to understand these mechanisms, notably by investigating the degradation products, the intrinsic lack of sensitivity of this technique, combined with the limited accessible volume of such compounds, makes its application often challenging. In this work, we combine several state-of-the-art dDNP methodologies, including the use of recently introduced hyperpolarizing polymers (HYPOPs), to acquire hyperpolarized <sup>13</sup>C NMR spectra of battery electrolytes. We show that we can successfully detect <sup>13</sup>C signals on formulated battery electrolyte solutions in different degradation stages on a 600 MHz spectrometer, with sensitivity gains of up to 3 orders of magnitude. This work paves the way for studying lithium-ion battery electrolyte degradation under real usage conditions (cycling, thermal aging, air exposure, etc.) with a <sup>13</sup>C detection limit below the micromolar range. This methodology has the potential to provide new insights into degradation mechanisms and the role and effectiveness of additives to mitigate electrolyte degradation.

Journal of the American Chemical SocietyVol. 147(22)
Université Claude Bernard Lyon 1 (FR), Total (France) (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), École d'Ingénieurs en Chimie et Sciences du Numérique (FR)
Association Nationale de la Recherche et de la Technologie, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1, Total
Openalex Percentile: Top 19%
Advanced NMR Techniques and Applications
1.51
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