Jump to main content
Jump to site search


Multi-spectrometer calibration transfer based on independent component analysis

Author affiliations

Abstract

Calibration transfer is indispensable for practical applications of near infrared (NIR) spectroscopy due to the need for precise and consistent measurements across different spectrometers. In this work, a method for multi-spectrometer calibration transfer is described based on independent component analysis (ICA). A spectral matrix is first obtained by aligning the spectra measured on different spectrometers. Then, by using independent component analysis, the aligned spectral matrix is decomposed into the mixing matrix and the independent components of different spectrometers. These differing measurements between spectrometers can then be standardized by correcting the coefficients within the independent components. Two NIR datasets of corn and edible oil samples measured with three and four spectrometers, respectively, were used to test the reliability of this method. The results of both datasets reveal that spectra measurements across different spectrometers can be transferred simultaneously and that the partial least squares (PLS) models built with the measurements on one spectrometer can predict that the spectra can be transferred correctly on another.

Graphical abstract: Multi-spectrometer calibration transfer based on independent component analysis

Back to tab navigation

Publication details

The article was received on 19 Sep 2017, accepted on 29 Jan 2018 and first published on 30 Jan 2018


Article type: Paper
DOI: 10.1039/C7AN01555K
Citation: Analyst, 2018, Advance Article
  •   Request permissions

    Multi-spectrometer calibration transfer based on independent component analysis

    Y. Liu, H. Xu, Z. Xia and Z. Gong, Analyst, 2018, Advance Article , DOI: 10.1039/C7AN01555K

Search articles by author

Spotlight

Advertisements