Abstract
A principal-component technique that maps highly correlated data by the use of non-orthogonal vectors has been described by Geiser et al. [ J. Chromatogr. 631 (1993) 1–13]. As many as 35 chromatographic variables were simultaneously visualized in a single three-dimensional map, using cosines of the correlation coefficients as vector angles. Applications included the validation of system-suitability parameters and the elucidation of biomolecular structure-activity relationships. In this paper, the mapping technique was extended to the chemometric analysis of data for the size-exclusion chromatography of biological samples. The study was to characterize protein-packing interactions for 25 molecules at nine mobile phase concentrations. Using this chemometric technique, the relationships between all of the data points could be viewed in a single graph. Analysis of the graph revealed mapping regions for proteins demonstrating hydrophobic characteristics, ionic characteristics, a combination of hydrophobic and ionic characteristics, or little interaction with the packing. The optimal mobile phase concentration for ideal size-exclusion chromatography in this system could also be identified from the graph.
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