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Updated: Feb 6, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
Published on: June 10, 2019
Continuous background correction using effective points selected in third-order minima segments in low-cost
This study introduces an automated background correction method for low-cost laser-induced breakdown spectroscopy (LIBS) without intensified CCDs. The technique effectively removes background noise, improving elemental analysis accuracy in cast iron alloys.
Area of Science:
- Analytical Chemistry
- Spectroscopy
Background:
- Continuous background emission complicates accurate analysis in laser-induced breakdown spectroscopy (LIBS).
- Traditional background correction methods can be complex or require expensive equipment like intensified CCDs.
Purpose of the Study:
- To develop an automated, cost-effective algorithm for estimating and removing background emission in low-cost LIBS.
- To validate the algorithm's performance using simulated and real-world LIBS data.
Main Methods:
- Algorithm identifies third-order minima to partition spectra into subintervals.
- Uses mean values as thresholds for selecting second-order minima.
- Employs linear interpolation and polynomial fitting for background estimation and removal.
Main Results:
- Successfully removed varying continuous background emission from LIBS spectra.
- Demonstrated validity using simulated and complex real LIBS spectra.
- Improved calibration accuracy for five elements in standard cast iron alloy samples.
Conclusions:
- The proposed automated background correction algorithm is effective for low-cost LIBS systems.
- The method enhances the reliability and accuracy of elemental quantification in LIBS analysis.
- This technique offers a practical solution for improving LIBS performance without high-end instrumentation.
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