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A modified spectral standardization method for uranium ores measurement using laser induced breakdown spectroscopy.

Jianxun Ji1, Zongyu Hou2, Weilun Gu1

  • 1State Key Lab of Power Systems, International Joint Laboratory on Low Carbon Clean Energy Innovation, Department of Energy and Power Engineering, Tsinghua University, Beijing, 100084, China.

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Summary

This study introduces an improved spectral standardization method for laser-induced breakdown spectroscopy (LIBS) to reduce signal uncertainty in elemental quantification. The new approach enhances accuracy for elements like uranium in ores by using information from other matrix elements.

Keywords:
Laser induced breakdown spectroscopy (LIBS),modified spectral standardization method using matrix elementSignal uncertainty reductionUranium ore

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • High signal uncertainty limits the quantification performance of laser-induced breakdown spectroscopy (LIBS).
  • Existing spectral standardization methods struggle with elements lacking sufficient independent spectral lines, such as uranium in ores.
  • This limitation hinders accurate elemental analysis in complex matrices.

Purpose of the Study:

  • To develop an updated spectral standardization method to reduce signal uncertainty for LIBS analysis.
  • To improve the quantification performance for elements with limited spectral lines.
  • To provide a more robust method for analyzing uranium in ores.

Main Methods:

  • A modified spectral standardization approach was developed, utilizing information from a matrix element (silicon) to estimate the total number density of the measured element (uranium).
  • Multiple spectral lines of silicon were used to characterize its total number density.
  • The total number density of uranium was then inferred through the correlation between silicon and uranium, compensating for plasma parameter fluctuations.

Main Results:

  • The modified method significantly reduced the relative standard deviation (RSD) for U II 409.01 nm from 23.03% to 9.41%.
  • The quantitative model determination coefficient (RC2) for uranium increased from 0.9129 to 0.9921.
  • The root mean square error of prediction (RMSEP) decreased from 0.2586 to 0.0670, indicating improved accuracy.

Conclusions:

  • The modified spectral standardization method effectively reduces signal uncertainty and enhances quantitative analysis performance for uranium in ores.
  • This approach offers a novel solution for signal uncertainty reduction in LIBS analysis of elements lacking sufficient independent spectral lines or exhibiting spectral interference.
  • The expanded applicability of spectral standardization broadens its use in complex sample analysis.