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A variable selection procedure for X-ray diffraction phase analysis.

Daewon Lee1, Hyeseon Lee, Chi-Hyuck Jun

  • 1Department of Industrial and Management Engineering, POSTECH, Pohang 790-784, Korea.

Applied Spectroscopy
|January 17, 2008
PubMed
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This study introduces partial least squares (PLS) for quantitative phase analysis using X-ray diffraction (XRD). The method efficiently reduces measurement points while maintaining accuracy for crystalline materials.

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Crystallography

Background:

  • X-ray diffraction (XRD) is a standard technique for analyzing crystalline materials.
  • Quantitative phase abundance analysis using XRD often requires extensive data collection.
  • Developing efficient calibration models is crucial for accurate XRD analysis.

Purpose of the Study:

  • To propose partial least squares (PLS) for building calibration models in quantitative phase analysis via XRD.
  • To introduce a variable selection procedure to reduce angular measurement points.
  • To apply the method for simultaneous determination of iron oxide weight fractions.

Main Methods:

  • Utilized partial least squares (PLS) regression for quantitative phase analysis.
  • Implemented a variable importance in projection (VIP) derived from PLS for feature selection.

Related Experiment Videos

  • Reduced measurement points by selecting critical angles, considering practical measurement constraints.

    • Main Results:

    • The proposed PLS method effectively builds calibration models for XRD quantitative analysis.
    • Variable selection significantly reduced the number of required measurement points (up to 70%).
    • The method achieved accurate simultaneous determination of iron oxide weight fractions.

    Conclusions:

    • Partial least squares offers an efficient approach for quantitative phase analysis using XRD.
    • Variable selection based on PLS-VIP is a viable strategy to optimize XRD data acquisition.
    • The developed method provides a practical and accurate alternative for analyzing crystalline materials like iron oxides.