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LIBS matrix effect deviation compensation through acoustic-optical spectra fusion LIBS technique.

Jiayuan Zhou1, Weihua Huang1, Harse Sattar2

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

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Summary

This study introduces acoustic-optical spectra fusion laser-induced breakdown spectroscopy (AOSF-LIBS) to overcome matrix effects in elemental analysis. The novel method significantly improves spectral accuracy for precise quantitative measurements.

Keywords:
Acoustic spectrogram-spectrum fusionLaser-induced breakdown spectroscopyMatrix effectSpectral deviation mapping model

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • Laser-induced breakdown spectroscopy (LIBS) is vital for rapid elemental analysis.
  • Matrix effects in LIBS cause spectral deviations, limiting quantitative accuracy.
  • Existing LIBS methods struggle with spectral variability across different sample matrices.

Purpose of the Study:

  • To develop an innovative fusion method, acoustic-optical spectra fusion laser-induced breakdown spectroscopy (AOSF-LIBS), to compensate for LIBS matrix effects.
  • To enhance the precision and reliability of elemental quantification in diverse materials.
  • To validate the effectiveness of AOSF-LIBS in correcting spectral deviations across multiple matrices.

Main Methods:

  • Analyzed five key factors influencing spectral differences due to matrix effects.
  • Transformed acoustic signals (LIPA) into a time-frequency domain (acoustic spectrogram) to capture plasma evolution.
  • Fused acoustic spectrogram energy/area data with LIBS-derived plasma temperature, electron density, and elemental interference to create a spectral deviation mapping model.

Main Results:

  • AOSF-LIBS effectively compensated spectral deviations in aluminum, iron, titanium, and nickel matrices.
  • Post-compensation, R-squared values improved to >0.98 across all tested matrices.
  • Significant average reductions in RMSE (11.4%), MAPE (42.3%), and RSD (3.2%) were observed for both training and test sets.

Conclusions:

  • AOSF-LIBS successfully compensates for spectral deviations caused by matrix effects, enabling high-precision elemental quantification.
  • The acoustic signal plays a crucial role in the deviation compensation model, as confirmed by ablation studies.
  • AOSF-LIBS is poised to significantly advance the application of LIBS for elemental analysis in complex samples.