Detail publikace

Automated detection of element-specific features in LIBS spectra

GAJARSKÁ, Z. FARUZELOVÁ, A. KÉPEŠ, E. PROCHAZKA, D. POŘÍZKA, P. KAISER, J. LOHNINGER, H. LIMBECK, A.

Originální název

Automated detection of element-specific features in LIBS spectra

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

This work introduces a novel semi-automatic approach to identify elemental lines in spectra obtained via laser-induced breakdown spectroscopy (LIBS). The algorithm is based on unique spectral fingerprints of individual elements that are configured into comb-like filters. The element-specific filters are then correlated with measured spectra for semi-supervised qualitative analysis of samples. Spectral variations are accommodated by adjusting the micro-parameters of the comb filter. This step ensures accurate results despite minor deviations from the instrument's ideal calibration due to instrumental fluctuations, e.g., drift in spectral calibration or line broadening. Additionally, the algorithm can autonomously detect spectral interference regions, aiding the analyst in verifying spectral lines where such interference may occur. The paper presents a comprehensive overview of the algorithm and discusses the main concepts, parameters, optimization steps, and limitations using Echelle spectra of two standard reference materials with different complexity: borosilicate glass (NIST 1411) and low-alloyed steel (SUS1R). Furthermore, the transferability of the approach to different scenarios and real-life applications is demonstrated using a single-channel Czerny-Turner spectrum of an amalgam filling extracted from a hyperspectral image of a human tooth. A demo of the algorithm is publicly available for non-commercial purposes.

Klíčová slova

Induced breakdown spectroscopy; Identification; Plasma

Autoři

GAJARSKÁ, Z.; FARUZELOVÁ, A.; KÉPEŠ, E.; PROCHAZKA, D.; POŘÍZKA, P.; KAISER, J.; LOHNINGER, H.; LIMBECK, A.

Vydáno

27. 11. 2024

Nakladatel

ROYAL SOC CHEMISTRY

Místo

CAMBRIDGE

ISSN

1364-5544

Periodikum

Journal of Analytical Atomic Spectrometry

Ročník

39

Číslo

12

Stát

Spojené království Velké Británie a Severního Irska

Strany počet

11

URL

https://pubs.rsc.org/en/content/articlelanding/2024/ja/d4ja00247d

BibTex

@article{BUT191235,
  author="Zuzana {Gajarská} and Anna {Faruzelová} and Erik {Képeš} and David {Prochazka} and Pavel {Pořízka} and Jozef {Kaiser} and Hans {Lohninger} and Andreas {Limbeck}",
  title="Automated detection of element-specific features in LIBS spectra",
  journal="Journal of Analytical Atomic Spectrometry",
  year="2024",
  volume="39",
  number="12",
  pages="11",
  doi="10.1039/d4ja00247d",
  issn="1364-5544",
  url="https://pubs.rsc.org/en/content/articlelanding/2024/ja/d4ja00247d"
}