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From Spectral Interference to Overlapped Features: A Full-Spectrum LIBS Voigt Decomposition Strategy with Shoulder
Panyang Dai1, Peichao Zheng2, Jinmei Wang2
1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
A new Laser-Induced Breakdown Spectroscopy (LIBS) method uses Voigt decomposition to resolve overlapping spectral lines, improving quantitative analysis of complex alloys by accurately identifying weak or shoulder-like spectral features.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Materials Science
Background:
- Laser-Induced Breakdown Spectroscopy (LIBS) offers rapid elemental analysis but suffers from spectral interference and overlapping features due to line crowding and plasma broadening.
- This interference significantly degrades the quantitative performance of LIBS analysis, especially for complex alloys.
Purpose of the Study:
- To develop a robust full-spectrum Voigt decomposition strategy to overcome spectral interference and overlapping features in LIBS.
- To enhance the quantitative accuracy and reliability of LIBS analysis for complex materials.
Main Methods:
- A novel strategy combining shoulder detection with residual-based line completion for full-spectrum Voigt decomposition.
- Segmentation of spectra into regions of interest (ROIs) using line lists and instrumental resolution.
- Constrained multicomponent Voigt fitting with statistically guided residual analysis to identify and recover weak or shoulder-like spectral lines.
Main Results:
- Demonstrated improved separation of overlapped spectral features in both synthetic and experimental LIBS data.
- Achieved a reduced relative standard deviation of line intensities, indicating more precise measurements.
- Showcased enhanced correlations between spectral line intensities and elemental concentrations, validating improved quantitative accuracy.
Conclusions:
- The proposed Voigt decomposition strategy effectively addresses spectral interference and overlapping features in LIBS.
- This physically grounded framework offers a scalable solution for accurate quantitative analysis of complex alloys using LIBS.
- The method enhances the overall performance and reliability of LIBS for materials characterization.
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