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Retention Database for Prediction, Simulation, and Optimization of GC Separations
[Image: see text] 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 dev...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249385/ https://www.ncbi.nlm.nih.gov/pubmed/37305293 http://dx.doi.org/10.1021/acsomega.3c01348 |
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author | Brehmer, Tillman Duong, Benny Marquart, Manuela Friedemann, Luise Faust, Peter J. Boeker, Peter Wüst, Matthias Leppert, Jan |
author_facet | Brehmer, Tillman Duong, Benny Marquart, Manuela Friedemann, Luise Faust, Peter J. Boeker, Peter Wüst, Matthias Leppert, Jan |
author_sort | Brehmer, Tillman |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-10249385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102493852023-06-09 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 ACS Omega [Image: see text] 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. American Chemical Society 2023-05-23 /pmc/articles/PMC10249385/ /pubmed/37305293 http://dx.doi.org/10.1021/acsomega.3c01348 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Brehmer, Tillman Duong, Benny Marquart, Manuela Friedemann, Luise Faust, Peter J. Boeker, Peter Wüst, Matthias Leppert, Jan Retention Database for Prediction, Simulation, and Optimization of GC Separations |
title | Retention Database
for Prediction, Simulation, and
Optimization of GC Separations |
title_full | Retention Database
for Prediction, Simulation, and
Optimization of GC Separations |
title_fullStr | Retention Database
for Prediction, Simulation, and
Optimization of GC Separations |
title_full_unstemmed | Retention Database
for Prediction, Simulation, and
Optimization of GC Separations |
title_short | Retention Database
for Prediction, Simulation, and
Optimization of GC Separations |
title_sort | retention database
for prediction, simulation, and
optimization of gc separations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249385/ https://www.ncbi.nlm.nih.gov/pubmed/37305293 http://dx.doi.org/10.1021/acsomega.3c01348 |
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