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Updated: May 19, 2026

Curtain Flow Column: Optimization of Efficiency and Sensitivity
Published on: June 12, 2016
Design and evaluation of various methods for the construction of kinetic performance limit plots for supercritical
Sander Delahaye1, Ken Broeckhoven, Gert Desmet
1Separation Science Group, Department of Organic Chemistry, Universiteit Gent, Krijgslaan 281 S4-bis, 9000 Gent, Belgium.
Abstract:
Supercritical fluid chromatography (SFC) is attributed many advantages over high performance liquid chromatography (HPLC). Next to the fact that SFC is greener than HPLC, which is especially important for preparative separations, SFC is claimed to be able to deliver faster separations at higher efficiencies (N) than HPLC. This is due to the higher diffusitivity of analytes in supercritical fluids compared to liquids (higher optimum mobile phase velocity) and to the lower viscosity of the mobile phases in SFC compared to HPLC, which results in smaller pressure drops allowing the use of longer columns and/or columns packed with smaller particles at higher velocities. In order to quantify this claimed kinetic performance advantage, it is essential to construct unbiased kinetic plots to make the comparison between HPLC and SFC. The high compressibility of the mobile phase in SFC however makes this problematic. A variable column length (L) kinetic plot method is therefore developed in this work. Because the pressure history in the column is kept constant for every data point in this method, this way of working definitely delivers exact values for the kinetic performance limits in SFC. It is shown that the traditional way of measuring the performance as a function of flow rate (fixed back pressure and column length) cannot deliver the same correct results as this variable L method. However, the isopycnic way of working on a fixed column length has also been proven to be a good alternative for the expensive and time consuming variable L method. Finally, isopycnic kinetic plots are used to compare SFC and HPLC performance in a quantitative way.
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