Abstract

Publisher Summary This chapter explores multicolumn systems in gas chromatography (GC). To separate a complex mixture by chromatography, the first requirement is to achieve a separation performance, which is at least as large as the number of components in a sample. The use of multicolumn systems can solve problems caused by very complex mixtures, as well as the problems related to the analysis of very different concentration levels in real samples. Multicolumn systems are mainly used to improve separating power, shortening analysis time, and trace analysis. These techniques also offer enhanced possibilities for qualitative analysis in two ways: (1) the availability of two more or less independent sets of retention data allows a greater reliability of the identification of individual components in complex mixtures by chromatographic means and (2) the modern hyphenated techniques, such as gas chromatography–mass spectrometry (GC–MS), give the most reliable identification when they deal with pure substances. Multidimensional chromatography is a separation process in which a single sample is subjected to a sequence of chromatographic separations, each of which acts upon all or part of the separated components from a previous chromatographic step and differs in its relative selectivity or capacity.

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