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Yan Liu1, Hao Xu, Zhenzhen Xia

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Calibration transfer for near-infrared (NIR) spectroscopy is now more reliable. Independent component analysis (ICA) standardizes spectral data across multiple spectrometers, enabling accurate predictions on different instruments.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Chemometrics

Background:

  • Near-infrared (NIR) spectroscopy requires precise calibration for consistent measurements across diverse instruments.
  • Inter-spectrometer variability poses a challenge for the widespread adoption of NIR applications.

Purpose of the Study:

  • To introduce a novel method for multi-spectrometer calibration transfer using independent component analysis (ICA).
  • To demonstrate the reliability and effectiveness of the proposed ICA-based method for standardizing spectral data.

Main Methods:

  • Spectra from different spectrometers were aligned to form a spectral matrix.
  • Independent component analysis (ICA) decomposed the spectral matrix into mixing matrices and independent components.
  • Coefficients within independent components were corrected to standardize measurements.

Main Results:

  • The ICA method successfully standardized spectral measurements across multiple spectrometers for both corn and edible oil datasets.
  • Partial least squares (PLS) models built on one spectrometer accurately predicted spectra transferred from others.
  • Simultaneous transfer of spectral measurements across spectrometers was achieved.

Conclusions:

  • The proposed ICA-based calibration transfer method is reliable for multi-spectrometer NIR applications.
  • This technique enhances the consistency and accuracy of NIR spectroscopic measurements.
  • It facilitates the seamless application of NIR spectroscopy across different instrument platforms.