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A plasma-image-assisted method for matrix effect correction in laser-induced breakdown spectroscopy.

Deng Zhang1, Yanwu Chu1, Shixiang Ma1

  • 1Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China.

Analytica Chimica Acta
|March 24, 2020
PubMed
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Image-assisted laser-induced breakdown spectroscopy (IA-LIBS) corrects matrix effects by analyzing plasma images. This method significantly improves quantitative analysis accuracy for various elements in metal and pressed samples.

Keywords:
Laser-induced breakdown spectroscopyMatrix effectPlasma image

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • Matrix effects are a significant limitation in laser-induced breakdown spectroscopy (LIBS).
  • Accurate quantitative analysis in LIBS is hindered by variations in sample composition and physical properties.
  • Developing effective matrix effect correction methods is crucial for advancing LIBS applications.

Purpose of the Study:

  • To introduce and validate image-assisted laser-induced breakdown spectroscopy (IA-LIBS) as a novel approach to mitigate matrix effects.
  • To quantitatively analyze copper (Cu), magnesium (Mg), chromium (Cr), and manganese (Mn) in different sample types using IA-LIBS.
  • To demonstrate the improvement in calibration curve accuracy and reduction in analytical errors offered by IA-LIBS.

Main Methods:

  • IA-LIBS was developed based on the Lomakin-Scherbe formula, utilizing plasma image brightness and area.
  • Brightness information was used to characterize plasma temperature, while area information represented ablative mass.
  • Experiments were conducted on metal and pressed samples to assess the method's performance.

Main Results:

  • IA-LIBS significantly improved determination coefficients (R²) for Cu and Mg in metal samples, increasing from 0.726 to 0.992 and 0.988, respectively.
  • Root-mean-square-error of cross-validation (RMSECV) and average relative error (ARE) decreased substantially for both metal and pressed samples.
  • For pressed samples, R² values for Cr and Mn calibration curves improved from 0.364 to 0.975 and 0.098 to 0.980, respectively, with notable error reductions.

Conclusions:

  • IA-LIBS effectively eliminates matrix effects across diverse sample types and elements.
  • The method demonstrates a significant enhancement in the accuracy and reliability of quantitative analysis using LIBS.
  • IA-LIBS shows great promise as a technology to advance LIBS applications in various scientific and industrial fields.