Abstract
Publisher Summary This chapter discusses the multivariate characterization of reversed phase high-performance liquid chromatography (RP-HPLC) stationary phases. With the use of multivariate statistical techniques, retention values of one chromatographic system are transferred to another chromatographic system. A univariate characterization of a stationary phase can be done by the measurement of a retention value (retention time or capacity factor) of a solute. However, such measurement gives a limited characterization of a stationary phase. Therefore, it is better to measure the retention value of a solute in duplo or triplo. The mean of the retention values can characterize the stationary phase. The standard deviation is a measure of the random variance or repeatability of the measurement. Measuring a number of solutes at different mobile phases is a multivariate characterization of the stationary phase, and the data (the retention values) are called “multivariate data.” With multivariate statistical techniques, it is possible to find the structure in the data matrices that causes the systematic variance.
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