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Updated: Nov 24, 2025

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Techniques and application in comprehensive multidimensional gas chromatography - mass spectrometry.
Philip J Marriott1, Sung-Tong Chin2, Yada Nolvachai1
1Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, VIC 3800, Australia.
Comprehensive multidimensional gas chromatography (MDGC) offers enhanced sample analysis compared to GC×GC. This method utilizes independent retention in multiple dimensions for superior separation, as demonstrated with crude oil analysis.
Area of Science:
- Analytical Chemistry
- Chromatography
Background:
- Comprehensive two-dimensional gas chromatography (GC×GC) is well-established.
- The definition of comprehensive multidimensional gas chromatography (MDGC) requires further clarification, particularly regarding analysis time on the second dimension column.
- MDGC aims for complete sample analysis using at least two separation stages.
Purpose of the Study:
- To describe implementation protocols for comprehensive MDGC.
- To illustrate the MDGC approach using a crude oil sample.
- To highlight the enhanced separation capabilities of MDGC compared to GC×GC.
Main Methods:
- Development of MDGC protocols involving single or multiple injections.
- Utilizing two Deans switches (DS) and cryogenic trapping.
- Sequential heart-cut (H/C) events with incremental time steps for complete sample analysis (40 injections).
Main Results:
- Achieved independent retention in each chromatographic dimension for enhanced separation.
- Demonstrated higher peak capacity and resolution on the second dimension column compared to GC×GC.
- Tentatively identified chemical classes, including mono- and diaromatics, within the crude oil sample.
Conclusions:
- MDGC provides superior resolution and peak capacity for complex sample analysis.
- The presented MDGC protocol, incorporating DS and cryogenic trapping, is effective for detailed chemical classification.
- While retention indices have limited utility for petroleum hydrocarbons, MDGC facilitates structured grouping of chemical classes.
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