Evidence map›Paper›PMID 40384775›Full record

ArticleMagnetic resonance (Gottingen, Germany)2024

Second-harmonic electron paramagnetic resonance spectroscopy and imaging reveal metallic lithium depositions in Li-ion batteries.

Charles-E Dutoit, Hania Ahouari, Quentin Denoyelle, Simon Pondaven, Hervé Vezin

Abstract read
In one paragraph

Article in Magnetic resonance (Gottingen, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Correlative Electron Paramagnetic Resonance Imaging and Atomic Force Microscopy of Lithium Deposited on Copper.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Charles-E DutoitUniversité Lille Nord de France, CNRS, UMR8516, LASIRE, 59655 Villeneuve d'Ascq, France.ORCID https://orcid.org/0000-0002-2181-4113
Hania AhouariUniversité Lille Nord de France, CNRS, UMR8516, LASIRE, 59655 Villeneuve d'Ascq, France.
Quentin DenoyelleSAFT, Corporate Research, 111 Boulevard Alfred Dancy, 33074 Bordeaux, France.
Simon PondavenCentre de Résonance Magnétique Electronique pour les Matériaux et l'Energie, Université Lille Nord de France, 59655 Villeneuve d'Ascq, France.
Hervé VezinUniversité Lille Nord de France, CNRS, UMR8516, LASIRE, 59655 Villeneuve d'Ascq, France.ORCID https://orcid.org/0000-0002-7282-2703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have investigated metallic lithium particle nucleation following lithiation and delithiation steps of the graphite electrode using X-band electron paramagnetic resonance (EPR). Metallic lithium aggregates like dendrites and/or filaments which are formed during electrochemical cycling on the graphite anode are complex structures which may lead to internal short-circuit and safety issues. Understanding and following, in real conditions, this nucleation process is necessary to improve the development of Li-ion batteries. The complexity to detect metallic lithium structures inside Li-ion batteries depends on the number of EPR lines and their linewidth. The presence of lithiated graphite phases affects the detection of micrometric Li-metal elements. Herein, we report a new approach using cw-EPR (continuous-wave EPR) spectroscopy and imaging, combining the first- and second-harmonic detection schemes to provide evidence for the metallic lithium aggregate nucleation in these negative electrodes. Although the first harmonic gives all the EPR signals present in the sample, it is found that the second-harmonic EPR signal is mainly sensitive to metallic lithium depositions.

Identifiers

PMID40384775
PMCPMC12082685

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.