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Two-Dimensional Liquid Chromatography

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Abstract

State-of-the-art polymeric materials possess property distributions in more than one parameter of molecular heterogeneity. Copolymers, for example, are distributed in molar mass and chemical composition, while telechelics and macromonomers are distributed frequently in molar mass and functionality. It is obvious that n independent properties require n-dimensional analytical methods for accurate (independent) characterization of the different structural parameters. In chromatography, the separation efficiency of any single separation method is limited by the efficiency and selectivity of the separation mode, i.e. the plate count of the column and the phase system selected. Adding more columns will not overcome the need to identify more components in a complex sample, due to the limitation of peak capacities. The peak capacity in an isocratic separation can be described, following Grushka [1], as in Eq. (6.1):

$$ n = 1 + \frac{{\sqrt{N}}}{4} \bullet ln\frac{{\mathop{V}\nolimits_p}}{{\mathop{V}\nolimits_0}} $$

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Pasch, H., Trathnigg, B. (2013). Two-Dimensional Liquid Chromatography. In: Multidimensional HPLC of Polymers. Springer Laboratory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36080-0_6

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