Simplified spectral fluctuation correction method of LIBS based on plasma image assistance

Area of Science:

• Analytical Chemistry
• Spectroscopy

Background:

• Laser-induced breakdown spectroscopy (LIBS) is valuable for multi-element detection but suffers from spectral fluctuations impacting accuracy.
• Existing image-assisted correction methods offer potential but require further refinement for optimal performance.

Purpose of the Study:

• To develop and validate a novel image-assisted spectral fluctuation correction method for LIBS.
• To enhance the quantitative analysis accuracy and measurement stability of LIBS through a dual-stage correction approach.

Main Methods:

• A two-stage correction method, SBEPPSC-IA, was proposed, involving plasma parameter correction followed by spectral bias-error correction using image information.
• The method leverages both individual and population data from spectra and plasma images.
• Calibration curve nonlinearity and spectral bias-error were addressed.

Main Results:

• SBEPPSC-IA significantly improved calibration for Mn, Ni, Cr, and Si, with R² values reaching up to 0.9950.
• The method reduced evaluation indexes for the training set.
• Prediction sets showed substantial reductions in RMSE (39.51%), ARE (27.26%), and ASTD (77.90%), indicating improved signal stability.

Conclusions:

• The SBEPPSC-IA method effectively mitigates spectral fluctuations, enhancing LIBS quantitative analysis accuracy and stability.
• Image-assisted nonlinearity mitigation is crucial for effective bias-error correction.
• SBEPPSC-IA shows significant potential for advancing LIBS quantitative performance.