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Updated: Nov 1, 2025

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
Published on: June 10, 2019
Optimization of copper detection based on polarization-resolved laser-induced breakdown spectroscopy.
Polarization-resolved laser-induced breakdown spectroscopy (PRLIBS) enhances copper plasma spectral stability. This method reveals plasma recombination anisotropy, improving heavy metal detection accuracy and safety.
Area of Science:
- Plasma Physics
- Spectroscopy
- Materials Science
Background:
- Stable spectral data is crucial for accurate elemental analysis.
- Traditional laser-induced breakdown spectroscopy (LIBS) can suffer from signal instability.
- Understanding plasma polarization is key to improving LIBS performance.
Purpose of the Study:
- To develop a polarization-resolved laser-induced breakdown spectroscopy (PRLIBS) platform for stable copper plasma spectral data acquisition.
- To investigate the relationship between plasma recombination anisotropy and spectral polarization.
- To establish a characteristic model for S-wave intensity in PRLIBS for enhanced elemental identification.
Main Methods:
- Construction of a polarization-resolved laser-induced breakdown spectroscopy (PRLIBS) detection platform.
- Integration of discrete and continuum plasma spectra for characteristic function development.
- Analysis of spatial polarized light information and derivation of the S-wave intensity characteristic model.
Main Results:
- PRLIBS successfully obtained stable spectral data and polarization information for copper plasma.
- Plasma recombination anisotropy under local thermal equilibrium was identified as the cause of radiation polarization.
- Spectral polarization decreased with increasing laser energy density, with continuum emission showing stronger polarization than discrete lines.
- The S-wave exhibited high activity, contributing to more stable characteristic peak signals.
Conclusions:
- PRLIBS offers a significant improvement over traditional LIBS by providing more stable spectral signals.
- The derived characteristic model aids in understanding plasma behavior and enhancing elemental identification.
- PRLIBS provides a scientific basis for the safe and non-destructive detection of heavy metals.
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