Dual-retention mechanism of dopamine-related compounds on monolithic stationary phase with zwitterion functionality

被引:3
|
作者
Komendova, Martina [1 ]
Urban, Jiri [1 ]
机构
[1] Masaryk Univ, Fac Sci, Dept Chem, Kamenice 5, Brno 62500, Czech Republic
关键词
Dopamine; Dual-retention; Polymer monolith; Regression analysis; Retention model; PERFORMANCE LIQUID-CHROMATOGRAPHY; PARKINSONS-DISEASE; CAPILLARY COLUMNS; SEPARATION; NEUROTRANSMITTERS; SOLVENT; OPTIMIZATION; MOLECULES; ANALYTES; BEHAVIOR;
D O I
10.1016/j.chroma.2020.460893
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Seven retention models have been selected to describe a dual-retention behavior of ten dopamine-related compounds on polymer-based monolithic stationary phase with zwitterion sulfobetaine functionality. Regression quality, as well as a statistical significance of individual regression parameters, have been evaluated. Better regression performance showed two four-parameter models when compared to threeparameter models. On the other hand, limited number of experimental points disqualified statistical robustness of four-parameter models. Among three-parameter models, retention description introduced by Horvath and Liang provided comparable quality of regression at significantly improved robustness. Multivariate analysis of the best three-parameter models provided the description of physicochemical properties of dopamine precursors and metabolites. Principal component analysis and logistic regression allowed structural characterization of dopamine-related compounds based solely on regression parameters extracted from an isocratic elution data. Both polarity and type of functional groups has been correctly assigned for 3-methoxytyramine that has not been part of an evaluation study. Among applied dual-retention models, Horvath ' s model, initially developed to describe a retention of ionic compounds on nonpolar stationary phases, provided robust regression of experimental data and allowed an extraction of structural characteristics of dopamine-related compounds (C) 2020 Elsevier B.V. All rights reserved.
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页数:8
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