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Updated: Jul 15, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Automated compound classification for ambient aerosol sample separations using comprehensive two-dimensional gas
Leslie Vogt1, Thomas Gröger, Ralf Zimmermann
1Analytical Chemistry, Institute of Physics, University of Augsburg, D-86159 Augsburg, Germany.
Abstract:
Comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOF-MS) is useful in analyzing complex samples, such as the semi-volatile organic compounds (SVOC) in daily aerosol samples collected in Augsburg, Germany. For efficient routine analysis, a partial classification system based on mass spectra has been proposed to group compounds into substance classes. Classifiers based on fragmentation patterns, retention time, and spectral transformations are incorporated into software scripts for automated classification. Fragmentation pattern rules are also applied to an aerosol sample analyzed using direct thermal desorption (DTD)-GCxGC-TOF-MS and a non-traditional column combination.
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