Publication detail

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

HOLUB, D. VRÁBEL, J. POŘÍZKA, P. KAISER, J.

English title

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

Type

journal article in Web of Science

Language

en

Original abstract

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

English abstract

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

Keywords in English

chemometrics, clustering, elemental mapping, laser-induced breakdown spectroscopy

Released

01.08.2022

Publisher

SAGE journals

Location

Newbury Park, USA

ISSN

0003-7028

Volume

76

Number

8

Pages from–to

917–925

Pages count

9

BIBTEX


@article{BUT177367,
  author="Daniel {Holub} and Jakub {Vrábel} and Pavel {Pořízka} and Jozef {Kaiser},
  title="Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices",
  year="2022",
  volume="76",
  number="8",
  month="August",
  pages="917--925",
  publisher="SAGE journals",
  address="Newbury Park, USA",
  issn="0003-7028"
}