Application of multivariate mathematical-statistical methods for the comparison of the retention behaviour of porous graphitized carbon and octadecylsilica columns

Abstract

The retention of sixteen ring-substituted aniline derivatives on porous graphitized carbon (PGC) column (eluents: acetonitrilewater and methanolwater mixtures) and on octadecylsilica (ODS) column (eluents: methanol-0.025 M K 2HPO 4 mixtures) was determined, and the relationship between retention characteristics and physico-chemical parameters were evaluated by principal component analysis followed by two-dimensional non-linear mapping and by cluster analysis and also by canonical correlation analysis. Calculations proved that marked differences can be detected between the retention characteristics of PGC and ODS columns, and the electronic and steric parameters of aniline derivatives have a great impact on their retention. The comparison of various multivariate mathematical-statistical methods indicated that principal component analysis followed by two-dimensional non-linear mapping is the most appropriate method for evaluation of large data matrices in reversed-phase liquid chromatography.