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Retention Database for Prediction, Simulation, and Optimization of GC Separations.
Brehmer, Tillman; Duong, Benny; Marquart, Manuela; Friedemann, Luise; Faust, Peter J; Boeker, Peter; Wüst, Matthias; Leppert, Jan.
Affiliation
  • Brehmer T; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Duong B; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Marquart M; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Friedemann L; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Faust PJ; Department for Applied Sciences, Hochschule Bonn-Rhein-Sieg, Von-Liebig-Straße 20, 53359 Rheinbach, Germany.
  • Boeker P; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Wüst M; HyperChrom GmbH Germany, Endenicher Allee 11-13, 53115 Bonn, Germany.
  • Leppert J; Institute of Nutritional and Food Sciences, Food Chemistry, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany.
ACS Omega ; 8(22): 19708-19718, 2023 Jun 06.
Article in En | MEDLINE | ID: mdl-37305293
This work presents an open source database with suitable retention parameters for prediction and simulation of GC separations and gives a short introduction to three common retention models. Useful computer simulations play an important role to save resources and time in method development in GC. Thermodynamic retention parameters for the ABC model and the K-centric model are determined by isothermal measurements. This standardized procedure of measurements and calculations, presented in this work, have a useful benefit for all chromatographers, analytical chemists, and method developers because it can be used in their own laboratories to simplify the method development. The main benefits as simulations of temperature-programed GC separations are demonstrated and compared to measurements. The observed deviations of predicted retention times are in most cases less than 1%. The database includes more than 900 entries with a large range of compounds such as VOCs, PAHs, FAMEs, PCBs, or allergenic fragrances over 20 different GC columns.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: ACS Omega Year: 2023 Document type: Article Affiliation country: Germany Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: ACS Omega Year: 2023 Document type: Article Affiliation country: Germany Country of publication: United States