Jump to main content
Jump to site search

Issue 2, 2017
Previous Article Next Article

Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

Author affiliations

Abstract

Multivariate data analysis (MVDA) is getting popular across the spectroscopic community. To assess accurate results, the obtained data should be preprocessed prior to utilization of any MVDA algorithm. The process of data normalization or “internal standardization” is widely used across a broad range of applications. In this manuscript we investigate the utilization of Laser-Induced Breakdown Spectroscopy (LIBS) coupled with MVDA. However, many articles regarding the use of MVDA on data from LIBS do not provide any information about the data pretreatment. This work describes the impact of LIBS data normalization approaches on MVDA classification accuracy. Also, the impact of classical data preprocessing (mean centering and scaling) exploiting the prior utilization of MVDA was studied. This issue was investigated exploiting simple soft independent modelling of class analogies algorithm. The findings were generalized for three sample matrices (steel, Al alloys, and sedimentary ores). Furthermore, the selection of an appropriate normalization algorithm is not trivial since the spectrum of each sample matrix is composed of a different number of elements and corresponding elemental lines.

Graphical abstract: Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

Back to tab navigation
Please wait while Download options loads

Publication details

The article was received on 30 Aug 2016, accepted on 18 Oct 2016, published on 18 Oct 2016 and first published online on 18 Oct 2016


Article type: Paper
DOI: 10.1039/C6JA00322B
Citation: J. Anal. At. Spectrom., 2017,32, 277-288
  •   Request permissions

    Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy

    P. Pořízka, J. Klus, A. Hrdlička, J. Vrábel, P. Škarková, D. Prochazka, J. Novotný, K. Novotný and J. Kaiser, J. Anal. At. Spectrom., 2017, 32, 277
    DOI: 10.1039/C6JA00322B

Search articles by author