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[Model transfer in multivariate calibration].

X L Chu1, H F Yuan, W Z Lu

  • 1Research Institute of Petroleum Processing, Beijing 100083, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 10, 2003
PubMed
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This study reviews calibration transfer algorithms in chemometrics, including S/B, DS, PDS, FIR, and Shenk's algorithm. It also covers recent developments and applications to aid future research in multivariate calibration.

Area of Science:

  • Chemometrics
  • Analytical Chemistry
  • Spectroscopy

Context:

  • Multivariate calibration models are susceptible to performance degradation when transferred between instruments or labs.
  • Calibration transfer is crucial for maintaining model accuracy across different analytical systems.
  • Addressing calibration transfer challenges is essential for robust and reliable chemometric applications.

Purpose:

  • To provide a comprehensive overview of calibration transfer principles and algorithms in chemometrics.
  • To review recent advancements and key applications of calibration transfer techniques.
  • To serve as a resource for researchers investigating calibration transfer methods.

Summary:

  • The paper details the background and principles of calibration transfer in multivariate calibration.

Related Experiment Videos

  • It discusses popular algorithms such as S/B, DS, PDS, FIR, and Shenk's algorithm.
  • Recent developments and applications of these algorithms are summarized, citing 51 references.

    • Impact:

    • Facilitates the selection and implementation of appropriate calibration transfer methods.
    • Aids in the development of more accurate and transferable multivariate calibration models.
    • Supports the advancement of chemometrics by highlighting current research trends and applications.