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Updated: Feb 23, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Human odor and forensics. Optimization of a comprehensive two-dimensional gas chromatography method based on
Vincent Cuzuel1, Audrey Sizun2, Guillaume Cognon2
1UMR CBI 8231, CNRS, Laboratoire Sciences Analytiques Bioanalytiques et Miniaturisation, ESPCI Paris, PSL Research University, 10 rue Vauquelin, Paris, France; Institut de Recherche Criminelle de la Gendarmerie Nationale, Caserne Lange, 5 Boulevard de l'Hautil, BP 20312 PONTOISE, 95037 Cergy Pontoise Cedex, France.
Abstract:
The use of comprehensive two-dimensional gas chromatography coupled with mass spectrometry would be a real asset for the forensic profiling of human hand odor. This paper focuses on the optimization of a comprehensive gas chromatography method using a synthetic mixture of 80 compounds representative of human hand odor composition. In order to rank the candidate column sets, instead of using a unique criterion, we used a chemometric tool called desirability which is based on Derringer functions and enables to consider several criteria simultaneously and hence to get the best compromise. Nine criteria including six orthogonality criteria were used to evaluate the quality and the efficiency of the separation. The desirability analysis lead to a straightforward ranking and an accurate overview of the results in two situations, with an objective of routine analysis and without. In both cases, the DB-1MS×DB-1701 set was found to be best suited for the separation of the considered mixture, however with different gradients.
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