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A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules
This paper describes an approach to rapidly and easily calculate the linear solvent strength parameters, namely log k (0) and S, under reversed‐phase liquid chromatography conditions. This approach, which requires two preliminary gradient experiments to determine the retention parameters, was applie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543774/ https://www.ncbi.nlm.nih.gov/pubmed/35562641 http://dx.doi.org/10.1002/jssc.202200161 |
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author | Guillarme, Davy Bouvarel, Thomas Rouvière, Florent Heinisch, Sabine |
author_facet | Guillarme, Davy Bouvarel, Thomas Rouvière, Florent Heinisch, Sabine |
author_sort | Guillarme, Davy |
collection | PubMed |
description | This paper describes an approach to rapidly and easily calculate the linear solvent strength parameters, namely log k (0) and S, under reversed‐phase liquid chromatography conditions. This approach, which requires two preliminary gradient experiments to determine the retention parameters, was applied to various representative compounds including small molecules, peptides, and proteins. The retention time prediction errors were compared to the ones obtained with a commercial HPLC modeling software, and a good correlation was found between the values. However, two important constraints have to be accounted for to maintain good predictions with this new approach: i) the retention factor at the initial composition of the preliminary gradient series have to be large enough (i.e., log k (i) above 2.1) and ii) the retention models have to be sufficiently linear. While these two conditions are not always met with small molecules or even peptides, the situation is different with large biomolecules. This is why our simple calculation method should be preferentially applied to calculate the linear solvent strength parameters of protein samples. |
format | Online Article Text |
id | pubmed-9543774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95437742022-10-14 A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules Guillarme, Davy Bouvarel, Thomas Rouvière, Florent Heinisch, Sabine J Sep Sci Liquid Chromatography This paper describes an approach to rapidly and easily calculate the linear solvent strength parameters, namely log k (0) and S, under reversed‐phase liquid chromatography conditions. This approach, which requires two preliminary gradient experiments to determine the retention parameters, was applied to various representative compounds including small molecules, peptides, and proteins. The retention time prediction errors were compared to the ones obtained with a commercial HPLC modeling software, and a good correlation was found between the values. However, two important constraints have to be accounted for to maintain good predictions with this new approach: i) the retention factor at the initial composition of the preliminary gradient series have to be large enough (i.e., log k (i) above 2.1) and ii) the retention models have to be sufficiently linear. While these two conditions are not always met with small molecules or even peptides, the situation is different with large biomolecules. This is why our simple calculation method should be preferentially applied to calculate the linear solvent strength parameters of protein samples. John Wiley and Sons Inc. 2022-05-26 2022-09 /pmc/articles/PMC9543774/ /pubmed/35562641 http://dx.doi.org/10.1002/jssc.202200161 Text en © 2022 The Authors. Journal of Separation Science published by Wiley‐VCH GmbH. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Liquid Chromatography Guillarme, Davy Bouvarel, Thomas Rouvière, Florent Heinisch, Sabine A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title | A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title_full | A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title_fullStr | A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title_full_unstemmed | A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title_short | A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules |
title_sort | simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: application to biomolecules |
topic | Liquid Chromatography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543774/ https://www.ncbi.nlm.nih.gov/pubmed/35562641 http://dx.doi.org/10.1002/jssc.202200161 |
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