Literature DB >> 26497150

Chromatographic methods enabling the characterization of stationary phases and retention prediction in high-performance liquid chromatography and supercritical fluid chromatography.

David Sykora1, Jiri Vozka1,2, Eva Tesarova2.   

Abstract

In the scope of the present review, the current status of high-performance liquid chromatography/ultra-high performance liquid chromatography and supercritical fluid chromatography is briefly provided. These techniques and their retention mechanisms are compared. Various alternative approaches utilized for the determination and description of the retention processes in these two systems are mapped. Two frequently used concepts, linear-free energy relationships, and hydrophobic subtraction models, used for the characterization of the retention interactions, are discussed. Principles and selected applications of the both methods are also covered. Then the models applied for the prediction of retention behavior of solutes on stationary phases are outlined. The procedures utilized for the sorbent/column classification are also covered. Simple chromatographic tests frequently used for the basic characterization and mutual comparison of stationary phases are summarized and briefly commented on. The importance of a statistical evaluation of complex retention data obtained from the chromatographic measurements is outlined. Finally, computer simulations aiming at the facilitation of the quest to optimize separation conditions for a given mixture of analytes are touched upon.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Characterization; Retention mechanisms; Retention models; Stationary phases

Year:  2015        PMID: 26497150     DOI: 10.1002/jssc.201501023

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  3 in total

1.  Evaluation of an amide-based stationary phase for supercritical fluid chromatography.

Authors:  Amaris C Borges-Muñoz; Luis A Colón
Journal:  J Sep Sci       Date:  2016-08-26       Impact factor: 3.645

2.  Using LC Retention Times in Organic Structure Determination: Drug Metabolite Identification.

Authors:  William L Fitch; Cyrus Khojasteh; Ignacio Aliagas; Kevin Johnson
Journal:  Drug Metab Lett       Date:  2018

Review 3.  Recent applications of retention modelling in liquid chromatography.

Authors:  Mimi J den Uijl; Peter J Schoenmakers; Bob W J Pirok; Maarten R van Bommel
Journal:  J Sep Sci       Date:  2020-11-03       Impact factor: 3.645

  3 in total

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