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Related Experiment Video

Updated: Jan 30, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
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New spectral reduction algorithm for echelle spectrometer in laser-induced breakdown spectroscopy.

Meng Shen, Zhongqi Hao, Xiangyou Li

    Optics Express
    |January 18, 2019
    PubMed
    Summary

    A novel spectral reduction algorithm models spectrograms, not spectrometers, for adaptive echelle spectrometer analysis. This method enhances spectrum stability and quantification performance, particularly for laser-induced plasmas and aluminum alloy analysis.

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    Area of Science:

    • Spectroscopy
    • Analytical Chemistry
    • Instrumental Analysis

    Background:

    • Echelle spectrometers are crucial for spectral analysis.
    • Conventional spectral reduction algorithms face limitations in adaptability.
    • Accurate quantification relies on stable and precise spectral data.

    Purpose of the Study:

    • To introduce a new, adaptive spectral reduction algorithm for echelle spectrometers.
    • To improve spectrum stability and absolute line intensity.
    • To enhance quantification performance in spectral analysis.

    Main Methods:

    • Developed a novel algorithm that models the spectrogram instead of the spectrometer.
    • Incorporated a dynamic adjusting procedure for optimizing spectra.
    • Applied the algorithm to laser-induced plasma analysis.
    • Validated performance by analyzing aluminum alloy samples.

    Main Results:

    • The new algorithm demonstrated improved adaptability to different spectrometer designs.
    • Enhanced spectrum stability and absolute line intensity were achieved.
    • Superior quantification performance was observed in aluminum alloy analysis.
    • The spectrogram-modeling approach proved effective.

    Conclusions:

    • The proposed spectral reduction algorithm offers significant advantages over conventional methods.
    • The dynamic adjusting procedure is key to improved spectral quality and quantification.
    • This algorithm represents a advancement for echelle spectrometer data processing and analysis.