Journal
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
Volume 144, Issue -, Pages 29-37Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.sab.2018.03.004
Keywords
High-resolution X-ray emission spectroscopy; Chemical speciation; Principal component analysis; Statistical analysis; Fundamental parameters
Categories
Funding
- Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) [PICT-2016-0285]
Ask authors/readers for more resources
High-resolution X-ray emission spectroscopy allows studying the chemical environment of a wide variety of materials. Chemical information can be obtained by fitting the X-ray spectra and observing the behavior of some spectral features. Spectral changes can also be quantified by means of statistical parameters calculated by considering the spectrum as a probability distribution. Another possibility is to perform statistical multivariate analysis, such as principal component analysis. In this work the performance of these procedures for extracting chemical information in X-ray emission spectroscopy spectra for mixtures of Mn2+ and Mn4+ oxides are studied. A detail analysis of the parameters obtained, as well as the associated uncertainties is shown. The methodologies are also applied for Mn oxidation state characterization of double perovskite oxides Ba1+xLa1-xMnSbO6 (with 0 <= x <= 0.7). The results show that statistical parameters and multivariate analysis are the most suitable for the analysis of this kind of spectra. (C) 2018 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available