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Updated: Feb 2, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
In Silico Screening of Comprehensive Two-Dimensional Centrifugal Partition Chromatography × Liquid Chromatography for
Léa Marlot1, Magali Batteau1, Dalene De Beer2,3
1Université de Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon , Institut des Sciences Analytiques, UMR 5280 , 5 rue de la Doua , F-69100 Villeurbanne , France.
Abstract:
Isolation of unknown compounds for structural identification and the collection of target molecules to generate unavailable standards remain a challenge when dealing with complex samples. While tedious multistep purification is commonly used, it is not appropriate for a limited amount of sample or when a full recovery of expensive molecules is required. Two-dimensional preparative chromatography in a comprehensive mode provides an effective means to collect a large number of molecules in such a case. However, there is currently a lack of metrics to estimate preparative performances with a minimal number of experiments. An in silico comparative study of various pairs of chromatographic systems is proposed, focusing on the occupation rate and the homogeneity of peak spreading in the 2D separation space. Off-line combination of centrifugal partition chromatography (CPC) with liquid chromatography (LC) exhibits numerous advantages for 2D preparative separation. Our in silico approach was illustrated through the isolation of eight bioactive compounds with very similar structures from Cyclopia genistoides plant by CPC×LC. The column screening was performed considering predictive 2D plots in light of the preparative performance descriptors and compared to real 2D preparative separations.
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