Chemical State Mapping of Lithium by STEM-EELS/Multivariate Analysis

Shunsuke Muto, Kazuyoshi Tatsumi, Hiroki Kondo, Kayo Horibuchi and Yoshio Ukyo

Abstract: It is apparently important to know the chemical states of lithium in lithium-ion secondary batteries (LIB). We have developed a useful method to visualize the spatial distributions of different chemical states there without using any reference spectra, by applying a multivariate curve resolution technique to the STEM-EELS spectrum image datasets. In this article we introduce examples where this method applied to the chemical state analysis of lithium in LIB.

Key words: STEM, EELS, spectrum image, multivariate analysis, lithium ion secondary battery