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Int. J. Mol. Sci. 2016, 17(1), 136; doi:10.3390/ijms17010136

Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters

Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland
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Author to whom correspondence should be addressed.
Academic Editor: David Arráez-Román
Received: 8 October 2015 / Revised: 11 January 2016 / Accepted: 13 January 2016 / Published: 21 January 2016
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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Abstract

This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis. View Full-Text
Keywords: column classification system; Katholieke Universiteit Leuven method; high-performance liquid chromatography; moclobemide and its two metabolites; human plasma; factor analysis column classification system; Katholieke Universiteit Leuven method; high-performance liquid chromatography; moclobemide and its two metabolites; human plasma; factor analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Plenis, A.; Rekowska, N.; Bączek, T. Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters. Int. J. Mol. Sci. 2016, 17, 136.

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Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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