Literature DB >> 27655938

Detection of local chemical states of lithium and their spatial mapping by scanning transmission electron microscopy, electron energy-loss spectroscopy and hyperspectral image analysis.

Shunsuke Muto1, Kazuyoshi Tatsumi1.   

Abstract

Advancements in the field of renewable energy resources have led to a growing demand for the analysis of light elements at the nanometer scale. Detection of lithium is one of the key issues to be resolved for providing guiding principles for the synthesis of cathode active materials, and degradation analysis after repeated use of those materials. We have reviewed the different techniques currently used for the characterization of light elements such as high-resolution transmission electron microscopy, scanning transmission electron microscopy (STEM) and electron energy-loss spectroscopy (EELS). In the present study, we have introduced a methodology to detect lithium in solid materials, particularly for cathode active materials used in lithium-ion battery. The chemical states of lithium were isolated and analyzed from the overlapping multiple spectral profiles, using a suite of STEM, EELS and hyperspectral image analysis. The method was successfully applied in the chemical state analyses of hetero-phases near the surface and grain boundary regions of the active material particles formed by chemical reactions between the electrolyte and the active materials.
© The Author 2016. Published by Oxford University Press on behalf of The Japanese Society of Microscopy. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cathode active materials; first principles calculation; lithium-ion battery; multivariate curve resolution; non-negative matrix factorization; spectral image

Year:  2017        PMID: 27655938     DOI: 10.1093/jmicro/dfw038

Source DB:  PubMed          Journal:  Microscopy (Oxf)        ISSN: 2050-5698            Impact factor:   1.571


  2 in total

1.  Application of machine learning techniques to electron microscopic/spectroscopic image data analysis.

Authors:  Shunsuke Muto; Motoki Shiga
Journal:  Microscopy (Oxf)       Date:  2020-04-08       Impact factor: 1.571

2.  Nanoscale Lithium Quantification in LiXNiyCowMnZO2 as Cathode for Rechargeable Batteries.

Authors:  Stéphanie Bessette; Andrea Paolella; Chisu Kim; Wen Zhu; Pierre Hovington; Raynald Gauvin; Karim Zaghib
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

  2 in total

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