Photonics (Dec 2023)

Non-Gaussian Signal Statistics’ Impact on LIBS Analysis

  • Vasily N. Lednev,
  • Pavel A. Sdvizhenskii,
  • Dashuang Liu,
  • Sergey V. Gudkov,
  • Sergey M. Pershin

DOI
https://doi.org/10.3390/photonics11010023
Journal volume & issue
Vol. 11, no. 1
p. 23

Abstract

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A detailed study has been carried out to reveal signal statistics’ impact on analysis sensitivity in laser-induced breakdown spectroscopy (LIBS) measurements. For several signals measured simultaneously, it was demonstrated that space-, spectra- and time-integrated plasma emission followed a normal distribution while the spectra- and time-resolved LIBS signal (atomic line intensity, plasma background emissions) distribution functions were biased compared to a Gaussian distribution function. For the first time in LIBS, the impact of a non-Gaussian distribution function on the limit of detection (LOD)’s determination has been studied in detail for single-shot spectra as well as for averaged spectra. Here, we demonstrated that the non-symmetrical distribution of the LIBS signals influenced the estimated LODs, so knowledge of a LIBS signal’s distribution function provides more reliable results, and the analysis sensitivity can be wrongly estimated if Gaussian distribution is presumed.

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