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08:53
Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
[Study on the automatic extraction method of spectral data features in laser induced breakdown spectroscopy].
Li-tuo Liu1, Jian-guo Liu, Nan-jing Zhao
1Key Laboratory of Environment Optics & Technology, Institute of Anhui Optics Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. ltuoliu@aiofm.ac.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|February 3, 2012
Summary
This study introduces an automated method for analyzing spectral data from Laser-Induced Breakdown Spectroscopy (LIBS). The approach uses the Levenberg-Marquardt algorithm for accurate spectral line broadening analysis and parameter extraction.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Computational Methods
Context:
- Laser-Induced Breakdown Spectroscopy (LIBS) is a powerful technique for elemental analysis.
- Accurate spectral data analysis is crucial for reliable LIBS results.
- Traditional methods for spectral fitting can be time-consuming and prone to manual error.
Purpose:
- To develop an automated data processing method for LIBS spectral analysis.
- To apply the Levenberg-Marquardt (L-M) algorithm for optimal parameter estimation in spectral line broadening.
- To enable automatic extraction of spectral data points for fitting and analysis.
Summary:
- A hybrid programming approach using MatrixVB and Visual Basic (VB) was employed to implement an automated fitting and feature parameter extraction method for LIBS spectral data.
- The Lorentz nonlinear function model was utilized to describe spectral line broadening.
- The Levenberg-Marquardt (L-M) algorithm was used to optimally estimate parameters, correct continuum background radiation, and adjust peak position and intensity.
Impact:
- The developed automated method demonstrates stability and reliability when compared to manual analysis using Origin 7.5 software.
- This advancement can significantly improve the efficiency and accuracy of LIBS data processing.
- Facilitates more robust elemental analysis through enhanced spectral data interpretation.
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