2007
DOI: 10.1016/j.jpba.2007.04.015
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Column selection for pharmaceutical analyses based on a column classification using four test parameters

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Cited by 26 publications
(12 citation statements)
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“…Optimization of chromatographic separation is usually based on the change of the mobile phase composition but in this work the stationary phase was changed. Today the market is full of the different columns and there are a lots of computer programs which, based on experimental data, could recommend the best column for the investigated analytes and a given mobile phase . Anyway, in this paper complex and expensive software/programs were not used for choosing the best column.…”
Section: Resultsmentioning
confidence: 99%
“…Optimization of chromatographic separation is usually based on the change of the mobile phase composition but in this work the stationary phase was changed. Today the market is full of the different columns and there are a lots of computer programs which, based on experimental data, could recommend the best column for the investigated analytes and a given mobile phase . Anyway, in this paper complex and expensive software/programs were not used for choosing the best column.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, it was decided to examine the separation on a set of 18 columns, available in our laboratory and which are at least either base-deactivated or end-capped (the latter were included to check their performance). The columns were chosen based on a column ranking system developed in our laboratory [7][8][9]. A list of columns examined in this study is shown in Table 1.…”
Section: Selection Of a Set Of C18 Columnsmentioning
confidence: 99%
“…As in previous studies, three arbitrarily chosen ranges of F-values were distinguished for the columns in Table 1: F < 2, 2 < F < 6 and F > 6 [7][8][9][10][11][12].…”
Section: Correlation Between the Column Classification And The Separamentioning
confidence: 99%
See 1 more Smart Citation
“…In application of Snyder and Dolan's [29][30][31][32][33] hydrophobic-subtraction model, the measure for column ranking was the column selectivity function, (F s ) [34] constructed out of five selectivity parameters [29], while in the KUL column selection system (CSS) introduced by Hoogmartens et al [2,[35][36][37][38][39][40][41] the measure was the F metric [38] based on four selectivity parameters.…”
Section: Introductionmentioning
confidence: 99%