Multidimensional Liquid Chromatography Theory and by Steven A. Cohen, Mark R. Schure

By Steven A. Cohen, Mark R. Schure

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Calculating the optimal modulation periods to maximize the peak capacity in twodimensional HPLC. Anal. Chem. 79, 3764–3770. R. (1967). Peak capacity in chromatography. Anal. Chem. 39, 1893– 1893. , Reich, G. (1979). Quantification of the information content of multi-dimensional gas chromatography and low resolution mass spectrometry in the identification of doping drugs. J. Chromatogr. 172, 15–30. , Horvath, C. (1973). An Introduction to Separation Science. WileyInterscience, New York, Chapter 19, pp.

This compares with the dilution factor for 2DLC of 2500 when the split ratio and finite peak sampling is factored in. Other techniques like LC/FFF give dilution factors of nearly half a million. While researchers are enthusiastic about the gain in peak capacity given by 2DLC, this comes at a price for detection limits. This is a critical aspect in applications like biomarker research in proteomics, where many biomarker molecules are thought to be present at trace concentration levels. For these cases extremely sensitive detectors are required.

C. (1987). Concepts and Comparisons in Multidimensional Separation. J. High Resolut. Chromatogr. Chromatogr. Commun. 319–323. C. (1990). Use of Multiple Dimensions in Analytical Separations, in Multidimensional Chromatography: Techniques and Applications. , editor. Marcel Dekker, New York, Chapter 1. C. (1991). Unified Separation Science. , New York. C. (1995). Sample dimensionality: a predictor of order–disorder in component peak distribution in multidimensional separation. J. Chromatogr. A 703, 3–15.

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