Plasma parameters correction method based on plasma image-spectrum fusion for matrix effect elimination in LIBS.

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Materials Science

Background:

• Matrix effect is a significant challenge in laser-induced breakdown spectroscopy (LIBS), hindering its widespread application.
• Accurate quantitative analysis in LIBS is often compromised by variations in sample composition and physical properties.

Purpose of the Study:

• To develop and validate a novel method for mitigating the matrix effect in LIBS.
• To enhance the accuracy and reliability of LIBS analysis through improved plasma characterization.

Main Methods:

• Proposed a plasma parameters correction method based on plasma image-spectrum fusion (PPC-PISF).
• Utilized effective features from plasma images and spectra to correct variations in total number density, plasma temperature, and electron number density.
• Conducted experiments on pressed and metal samples, comparing results with image-assisted LIBS (IA-LIBS).

Main Results:

• For pressed samples, PPC-PISF improved R² to >0.993, reduced average RMSE by 41.05%, and decreased average ARE by 59.35% compared to IA-LIBS.
• For metal samples, PPC-PISF increased R² to >0.997, reduced average RMSE by 29.63%, and decreased average ARE by 38.74% compared to IA-LIBS.

Conclusions:

• The PPC-PISF method effectively eliminates the matrix effect in LIBS.
• This advancement promotes the further development and industrial application of LIBS technology.