Method development of quantitative chemical state analysis by X-ray emission spectroscopy for lithium-ion battery materials

Abstract We studied the spectral analysis of X-ray emission spectroscopy for lithium-ion battery materials during the disproportionation reaction driven by heat treatment. To improve the quantitative analysis of chemical states, we consider the contribution of unstable chemical states in the peak deconvolution. We first applied a linear combination fitting (LCF) to the residuals, assuming an asymmetric Lorentzian peak, which was obtained for the unstable chemical component. Since LCF requires a set of known spectra for peak deconvolution, we develop the LCF for spectral analysis, including unknown chemical states. Both quantification results show a similar trend in the temperature dependence of the heat treatment. With the latter method, we can quantify the samples, including unknown chemical compounds, even when that compound does not have a known X-ray emission spectrum.

Authors

Institutions

Publication Details

Journal
Powder Diffraction
Published
2025-06-13
DOI
https://doi.org/10.1017/s0885715625100833
Primary Topic
X-ray Diffraction in Crystallography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method development of quantitative chemical state analysis by X-ray emission spectroscopy for lithium-ion battery materials

H. Kobayashi, Hikari Takahara, Takumi Ohta
Powder Diffraction
X-ray Diffraction in Crystallography
article

Method development of quantitative chemical state analysis by X-ray emission spectroscopy for lithium-ion battery materials

H. Kobayashi, Hikari Takahara, Takumi Ohta
article en

Abstract

Abstract We studied the spectral analysis of X-ray emission spectroscopy for lithium-ion battery materials during the disproportionation reaction driven by heat treatment. To improve the quantitative analysis of chemical states, we consider the contribution of unstable chemical states in the peak deconvolution. We first applied a linear combination fitting (LCF) to the residuals, assuming an asymmetric Lorentzian peak, which was obtained for the unstable chemical component. Since LCF requires a set of known spectra for peak deconvolution, we develop the LCF for spectral analysis, including unknown chemical states. Both quantification results show a similar trend in the temperature dependence of the heat treatment. With the latter method, we can quantify the samples, including unknown chemical compounds, even when that compound does not have a known X-ray emission spectrum.

Powder DiffractionVol. 40(3)
Rigaku (Japan) (JP), National Institute of Advanced Industrial Science and Technology (JP)
Openalex Percentile: Top 91%
X-ray Diffraction in Crystallography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.