Multivariate curve resolution applied to second order data

Abstract

Application of multivariate curve resolution to second order data from hyphenated liquid chromatography with spectrometric diode array detection is shown. Chromatographic analysis of samples giving unresolved mixtures produces different data structures depending on the reproducibility of the elution process: (a) second order data where elution peaks of the same component in the different chromatographic runs have the same shape and appear at exactly the same elution times (synchronized); (b) second order data where elution peaks of the same component in the different chromatographic runs appear at different elution times (non-synchronized) although they are still of the same shape; and (c) second order data where elution peaks of the same component in the different chromatographic runs have different shapes and appear at different elution times. Multivariate curve resolution is easily adapted to analyze all these situations taking advantage in every case of the particular data structure. Multivariate curve resolution is also easily adapted to those situations where second order data has not a complete trilinear structure.