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POŘÍZKA, P. KLUS, J. KÉPEŠ, E. PROCHAZKA, D. HAHN, D. KAISER, J.
Original Title
On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review
Type
journal article in Web of Science
Language
English
Original Abstract
An implementation of a fast, robust, and effective algorithm is inevitable in modern multivariate data analysis (MVDA). The principal component analysis (PCA) algorithm is becoming popular not only in the spectroscopic community because it complies with the qualities mentioned above. PCA is, therefore, often used for the rocessing of detected multivariate signal (characteristic spectra). Over the past decade, PCA has been adopted by the Laser-Induced Breakdown Spectroscopy (LIBS) community and the number of scientific articles referring to PCA steadily increases. The interest in PCA is not caused only by the basic need to obtain a fast data visualization on a lower dimensional scale and to inspect the most prominent variables. Most recently, PCA has also been applied to yield unconventional data analyses, i.e. processing of large scale LIBS maps. However, a rapid development of LIBS-related instrumentation and applications has led to some non-uniform methodologies in the implementation and utilization of MVDA, including PCA. Thus, in this work, we critically assess and elaborate on the approaches to utilize PCA in LIBS data processing. The aim of this article is also to derive some implications and to suggest advice in data preprocessing, visualization, dimensionality reduction, model building, classification, quantification and non-conventional multivariate mapping. This review reflects also other MVDA algorithms than PCA and consequently, presented conclusions and recommendations can be generalized.
Keywords
Laser-Induced Breakdown Spectroscopy, Principal Component Analysis
Authors
POŘÍZKA, P.; KLUS, J.; KÉPEŠ, E.; PROCHAZKA, D.; HAHN, D.; KAISER, J.
Released
1. 10. 2018
Publisher
Elsevier
ISBN
0584-8547
Periodical
Spectrochimica Acta Part B
Year of study
148
Number
-
State
United Kingdom of Great Britain and Northern Ireland
Pages from
65
Pages to
82
Pages count
19
BibTex
@article{BUT148611, author="Pavel {Pořízka} and Jakub {Klus} and Erik {Képeš} and David {Prochazka} and D.W. {Hahn} and Jozef {Kaiser}", title="On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review", journal="Spectrochimica Acta Part B", year="2018", volume="148", number="-", pages="65--82", doi="10.1016/j.sab.2018.05.030", issn="0584-8547" }