Retention-time prediction for polycyclic aromatic compounds in reversed-phase capillary electro-chromatography

Verfasser / Beitragende:
[Peter Feenstra, Heidrun Gruber-Wölfler, Michael Brunsteiner, Johannes Khinast]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Molecular Modeling, 21/5(2015-05-01), 1-9
Format:
Artikel (online)
ID: 605513260
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024 7 0 |a 10.1007/s00894-015-2668-3  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00894-015-2668-3 
245 0 0 |a Retention-time prediction for polycyclic aromatic compounds in reversed-phase capillary electro-chromatography  |h [Elektronische Daten]  |c [Peter Feenstra, Heidrun Gruber-Wölfler, Michael Brunsteiner, Johannes Khinast] 
520 3 |a Log Po/w based models are often used for the retention time prediction of reversed phase liquid chromatography. Here, we present the investigation of the applicability of log Po/w based retention time predictions for the separation in capillary electro-chromatography (CEC). A test set of five polycyclic aromatic hydrocarbons was separated using two different stationary phases with three different mobile phases each. The resulting retention times were correlated with the experimental log Po/w values as well as with calculated log Po/w values. The used methods include quantitative structure property relationship (QSPR) models as well as molecular dynamic methods such as the linear interaction energy (LIE) or the Bennett acceptance ratio (BAR). The results indicate that rigorous simulation models are capable of accurately reproducing experimental results and that the electrophoretic mobility of analytes in CEC separations leads to significant deviations in the retention time prediction. 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a Electro-chromatography  |2 nationallicence 
690 7 |a Log P  |2 nationallicence 
690 7 |a Molecular dynamics  |2 nationallicence 
690 7 |a Partition coefficient  |2 nationallicence 
690 7 |a Simulation  |2 nationallicence 
700 1 |a Feenstra  |D Peter  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
700 1 |a Gruber-Wölfler  |D Heidrun  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
700 1 |a Brunsteiner  |D Michael  |u Research Center Pharmaceutical Engineering, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
700 1 |a Khinast  |D Johannes  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
773 0 |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/5(2015-05-01), 1-9  |x 1610-2940  |q 21:5<1  |1 2015  |2 21  |o 894 
856 4 0 |u https://doi.org/10.1007/s00894-015-2668-3  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00894-015-2668-3  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Feenstra  |D Peter  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Gruber-Wölfler  |D Heidrun  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Brunsteiner  |D Michael  |u Research Center Pharmaceutical Engineering, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Khinast  |D Johannes  |u Institute of Process and Particle Engineering, NAWI Graz, Graz University of Technology, TU Graz, Inffeldgasse 13, 8010, Graz, Austria  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/5(2015-05-01), 1-9  |x 1610-2940  |q 21:5<1  |1 2015  |2 21  |o 894