Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography

There are several different approaches for LC method development; beside traditional, different software programs for method development and optimization are available. The solvatic retention model of reversed-phase LC was applied for prediction of retention in the gradient elution mode for aripipra...

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Main Authors: Tina Snoj Ekmečič, Irena Kralj Cigic
Format: Article
Language:English
Published: Slovenian Chemical Society 2019-12-01
Series:Acta Chimica Slovenica
Subjects:
Online Access:https://journals.matheo.si/index.php/ACSi/article/view/5189
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spelling doaj-c07b4d7f47ef44fe920c5d8008c676052020-11-25T02:02:16ZengSlovenian Chemical SocietyActa Chimica Slovenica1318-02071580-31552019-12-0166495897010.17344/acsi.2019.5189748Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid ChromatographyTina Snoj Ekmečič0Irena Kralj Cigic1Krka d.d., R&D, Novo MestoUniversity of Ljubljana Faculty of Chemistry and Chemical TechnologyThere are several different approaches for LC method development; beside traditional, different software programs for method development and optimization are available. The solvatic retention model of reversed-phase LC was applied for prediction of retention in the gradient elution mode for aripiprazole and its related substances described in European Pharmacopoeia. As some of these compounds have very similar and others quite different chemical structure, their separation is challenge. Prediction was suitable on examined stationary phases (C18, C8 and phenyl-hexyl) with 0.1% phosphoric acid as aqueous mobile phase and acetonitrile or methanol as organic modifier. Predicted retention times take into account structural formulae of compounds and properties of stationary and mobile phases result in average difference of 14-17% compared to experimental ones on phenyl-hexyl stationary phase, where the highest matching was obtained. After utilisation of the retention models with data from one experimental run, the average difference decrease to maximal 7% and after contribution of data from two experimental runs, to maximal 2%. For majority of studied compounds difference between predicted and experimental values on all examined stationary phases is lower than 3%.https://journals.matheo.si/index.php/ACSi/article/view/5189high-performance liquid chromatographyquantitative structure-retention relationships (qsrrs)solvatic retention modelrp stationary phasesgradient elutionaripiprazole
collection DOAJ
language English
format Article
sources DOAJ
author Tina Snoj Ekmečič
Irena Kralj Cigic
spellingShingle Tina Snoj Ekmečič
Irena Kralj Cigic
Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
Acta Chimica Slovenica
high-performance liquid chromatography
quantitative structure-retention relationships (qsrrs)
solvatic retention model
rp stationary phases
gradient elution
aripiprazole
author_facet Tina Snoj Ekmečič
Irena Kralj Cigic
author_sort Tina Snoj Ekmečič
title Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
title_short Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
title_full Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
title_fullStr Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
title_full_unstemmed Application of Solvatic Model for Prediction of Retention at Gradient Elution in Reversed-Phase Liquid Chromatography
title_sort application of solvatic model for prediction of retention at gradient elution in reversed-phase liquid chromatography
publisher Slovenian Chemical Society
series Acta Chimica Slovenica
issn 1318-0207
1580-3155
publishDate 2019-12-01
description There are several different approaches for LC method development; beside traditional, different software programs for method development and optimization are available. The solvatic retention model of reversed-phase LC was applied for prediction of retention in the gradient elution mode for aripiprazole and its related substances described in European Pharmacopoeia. As some of these compounds have very similar and others quite different chemical structure, their separation is challenge. Prediction was suitable on examined stationary phases (C18, C8 and phenyl-hexyl) with 0.1% phosphoric acid as aqueous mobile phase and acetonitrile or methanol as organic modifier. Predicted retention times take into account structural formulae of compounds and properties of stationary and mobile phases result in average difference of 14-17% compared to experimental ones on phenyl-hexyl stationary phase, where the highest matching was obtained. After utilisation of the retention models with data from one experimental run, the average difference decrease to maximal 7% and after contribution of data from two experimental runs, to maximal 2%. For majority of studied compounds difference between predicted and experimental values on all examined stationary phases is lower than 3%.
topic high-performance liquid chromatography
quantitative structure-retention relationships (qsrrs)
solvatic retention model
rp stationary phases
gradient elution
aripiprazole
url https://journals.matheo.si/index.php/ACSi/article/view/5189
work_keys_str_mv AT tinasnojekmecic applicationofsolvaticmodelforpredictionofretentionatgradientelutioninreversedphaseliquidchromatography
AT irenakraljcigic applicationofsolvaticmodelforpredictionofretentionatgradientelutioninreversedphaseliquidchromatography
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