Application of chemometric methods to XRF-data - A tutorial review

Vitaly Panchuk; Irina Yaroshenko; Andrey Legin; Valentin Semenov; Dmitry Kirsanov

doi:10.1016/j.aca.2018.05.023

Application of chemometric methods to XRF-data - A tutorial review

Anal Chim Acta. 2018 Dec 21:1040:19-32. doi: 10.1016/j.aca.2018.05.023. Epub 2018 May 8.

Authors

Vitaly Panchuk¹, Irina Yaroshenko², Andrey Legin³, Valentin Semenov⁴, Dmitry Kirsanov⁵

Affiliations

¹ Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia; Laboratory of Artificial Sensory Systems, ITMO University, St. Petersburg, Russia; Institute for Analytical Instrumentation RAS, St. Petersburg, Russia.
² CSU "Analytical Spectrometry", St. Petersburg, Russia.
³ Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia; Laboratory of Artificial Sensory Systems, ITMO University, St. Petersburg, Russia.
⁴ Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia; Institute for Analytical Instrumentation RAS, St. Petersburg, Russia.
⁵ Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia; Laboratory of Artificial Sensory Systems, ITMO University, St. Petersburg, Russia. Electronic address: d.kirsanov@gmail.com.

PMID: 30327110
DOI: 10.1016/j.aca.2018.05.023

Abstract

X-ray fluorescence (XRF) spectrometry is a modern method of element analysis, widely applied in forensic science, archeology, geochemistry and other fields. Chemometric data processing tools and approaches may help XRF to become even more informative. These tools allow for convenient data visualization, exploration of hidden relations in the data, classification of samples and quantitative treatment of noisy and overlapped spectra. This review describes the most popular chemometric techniques employed in XRF studies and provides typical examples of such applications.

Keywords: Chemometrics; Data processing; X-ray fluorescence.

Publication types

Review