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Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
[Research on parameters optimization of laser-induced breakdown spectroscopy based experimental device].
Lei Zhang1, Wei-Guang Ma, Xiao-Juan Yan
1State Key Laboratory of Quantum Optics and Quantum Optics Devices, College of Physics and Electronics Engineering, Shanxi University, Taiyuan 030006, China. k1226@sxu.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|November 22, 2011
Summary
Optimizing laser-induced breakdown spectroscopy (LIBS) parameters significantly improves coal quality analysis. This method enhances elemental detection accuracy, reducing standard deviation for key elements like carbon.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Materials Science
Context:
- Coal quality analysis is crucial for energy production and environmental monitoring.
- Laser-induced breakdown spectroscopy (LIBS) offers a rapid method for elemental analysis.
- Existing LIBS methods require optimization for precise coal analysis.
Purpose:
- To optimize key experimental parameters for a LIBS device applied to pulverized coal analysis.
- To establish relationships between LIBS parameters and signal-to-noise ratios (S/N) of elemental emission lines.
- To identify optimal settings for improved accuracy in coal elemental composition determination.
Summary:
- Investigated the impact of laser pulse energy, spectrometer delay time, laser focal position, sample rotation speed, narrow-band filter, and diaphragm on LIBS spectral quality.
- Determined optimal parameters: 120 mJ pulse energy, 200 ns delay, 3-5 mm focal depth, 2.7 rpm rotation, 1064 nm filter, and 1.5 mm diaphragm.
- Achieved significant reductions in standard deviation (SD) for Carbon (from 6.7% to 1.6%) and relative standard deviation (RSD) for trace elements (from 28% to 10%).
Impact:
- Greatly improved the accuracy of quantitative analysis for pulverized coal.
- Demonstrates the potential of optimized LIBS for reliable and precise coal quality assessment.
- Provides a foundation for developing more robust LIBS applications in the coal industry.
