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Updated: May 8, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Comprehensive two-dimensional gas chromatography with a multi-capillary second dimension: a new column-set format for
Daniela Peroni1, Andjoe A S Sampat, Wil van Egmond
1University of Amsterdam, van't Hoff Institute for Molecular Sciences, Analytical-Chemistry Group, P.O. Box 94157, 1090 GD Amsterdam, The Netherlands.
Comprehensive two-dimensional gas chromatography (GC×GC) can now operate both dimensions at optimum velocity simultaneously. This is achieved using multiple parallel columns in the second dimension (GC×multi-GC), improving separation efficiency.
Area of Science:
- Analytical Chemistry
- Chromatography
Background:
- Comprehensive two-dimensional gas chromatography (GC×GC) faces challenges in optimizing carrier gas velocity in both dimensions due to differing column inner diameters.
- This limitation can lead to suboptimal separation efficiency and band broadening.
Purpose of the Study:
- To investigate the use of multiple parallel capillary columns in the second dimension (GC×multi-GC) to enable simultaneous optimum-velocity operation in both dimensions.
- To develop a method for calculating and selecting the optimal number of columns for the second dimension.
Main Methods:
- A Microsoft Excel program was developed to calculate the efficiency of GC×multi-GC for varying numbers of second-dimension columns.
- Specially manufactured columns with high repeatability were used to minimize inter-column band broadening.
- One-dimensional gas chromatography (1D-GC) experiments were performed on individual and parallel column sets.
Main Results:
- The parallel column set demonstrated performance consistent with individual columns, achieving over 9100 plates (approximately 10,000 plates/m).
- A GC×multi-GC setup was successfully implemented.
- Model experiments confirmed simultaneous optimum linear velocity operation in both dimensions.
Conclusions:
- GC×multi-GC effectively overcomes the velocity optimization limitations of traditional GC×GC.
- The novel GC×multi-GC configuration is suitable for multidimensional separations across various applications.
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