Literature DB >> 24596023

Chromatographic resolution of closely related species: drug metabolites and analogs.

Erik L Regalado1, Roy Helmy, Mitchell D Green, Christopher J Welch.   

Abstract

In this study, we investigate the separation of a variety of mixtures of drugs, metabolites, and related analogs including representatives of the carbamazepine, methylated xanthine, steroid hormone, nicotine, and morphine families using several automated chromatographic method development screening systems including ultra high performance liquid chromatography, core-shell HPLC, achiral supercritical fluid chromatography (SFC), and chiral SFC. Of the 138 column and mobile phase combinations examined for each mixture, a few chromatographic conditions afford the best overall performance, with a single achiral SFC method (4.6 × 250 mm, 3.0 μm GreenSep Ethyl Pyridine, 25 mM isobutylamine in methanol/CO2) affording good separation for all samples. Four of these mixtures were also resolved by achiral SFC on the Luna HILIC and chiral SFC Chiralpak IB columns using methanol or ethanol with 25 mM isobutylamine as polar modifiers. Modifications of standard chromatography screening conditions afforded fast separation methods (from 1 to 5 min) for baseline resolution of all components of each of these challenging sets of closely related compounds.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Complex mixtures; High-throughput analysis; Method development; Supercritical fluid chromatography; Ultra high performance liquid chromatography

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Year:  2014        PMID: 24596023     DOI: 10.1002/jssc.201400038

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


  1 in total

1.  Analysis of polar urinary metabolites for metabolic phenotyping using supercritical fluid chromatography and mass spectrometry.

Authors:  Arundhuti Sen; Christopher Knappy; Matthew R Lewis; Robert S Plumb; Ian D Wilson; Jeremy K Nicholson; Norman W Smith
Journal:  J Chromatogr A       Date:  2016-04-19       Impact factor: 4.759

  1 in total

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