Rank annihilation correction for the amendment of instrumental inconsistencies

The globalisation of the analysis of a series of individual measurements often results in more robust and reliable outcomes. However, instrumental drifts that can occur between individual measurements destroy the ideal data structure and thus the advantages. A method based on rank annihilation facto...

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Bibliographic Details
Published in:Analytica chimica acta 2002-08, Vol.464 (2), p.249-259
Main Authors: Maeder, Marcel, Neuhold, Yorck-Michael, Olsen, Aaron, Puxty, Graeme, Dyson, Raylene, Zilian, Arne
Format: Article
Language:English
Subjects:
Baseline
Bilinear data
Chromatography
Correction
Rank annihilation
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Summary:The globalisation of the analysis of a series of individual measurements often results in more robust and reliable outcomes. However, instrumental drifts that can occur between individual measurements destroy the ideal data structure and thus the advantages. A method based on rank annihilation factor analysis (RAFA) is introduced for the correction of several types of instrumental inconsistencies. It can be applied to many series of bilinear datasets. Experimental examples discussed in this paper comprise the successful correction of non-uniform retention time drifts in chromatography due to temperature or pressure changes, wavelength shifts in IR spectroscopy in an industrial control situation, and background absorption shifts in UV–VIS spectroscopy applied to equilibrium investigations.
ISSN:0003-2670
1873-4324
DOI:10.1016/S0003-2670(02)00488-9