Sample-independent approach to normalize two-dimensional data for orthogonality evaluation using whole separation

Jaroslava Jáčová1, Alžběta Gardlo1, David Friedecký1

  • 1Laboratory of Metabolomics, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacký University Olomouc, Hněvotínská 5, 779 00 Olomouc, Czech Republic; Department of Clinical Chemistry, University Hospital Olomouc, I. P. Pavlova 6, 779 00 Olomouc, Czech Republic.

Summary

A new Whole Separation Space Scaling (WOSEL) method improves orthogonality assessment in two-dimensional chromatography. This sample-independent approach provides more reliable evaluation of separation systems, crucial for analytical method development.

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