1998
DOI: 10.1016/s0021-9673(97)01301-0
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Separation of barbiturates with micellar liquid chromatography and optimization by a second order mathematical design

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Cited by 20 publications
(4 citation statements)
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“…For better understanding of the typical factors which govern the retention, a complementary set of experiments as fold-over design was performed (Table II, experiments [13][14][15][16][17][18][19][20]. This represents a fold-over of the previous design and is obtained by changing the sign of the three last columns of the fractional design.…”
Section: Fold-over Fractional Factorial Designmentioning
confidence: 99%
See 1 more Smart Citation
“…For better understanding of the typical factors which govern the retention, a complementary set of experiments as fold-over design was performed (Table II, experiments [13][14][15][16][17][18][19][20]. This represents a fold-over of the previous design and is obtained by changing the sign of the three last columns of the fractional design.…”
Section: Fold-over Fractional Factorial Designmentioning
confidence: 99%
“…Variations of the experimental conditions affect both the retention of the analytes and the extent of the surfactant monomers adsorbed onto the stationary phase. As a result, the effect of these factors on retention can be interdependent and nonlinear [14][15][16]. Therefore, methods of multivariate analysis are usually used.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, due to the dependence on a large number of factors including the mobile phase composition, percentage of organic modifier, flow rate and temperature, optimization of the chromatographic conditions is a complicated process in RP-HPLC. On the other hand, since the effect of these factors on retention can be interdependent and nonlinear the systematic approach for optimization of chromatographic separations is more expedient for such complicated method [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…As a result, the effect of these factors on retention can be interdependent and nonlinear. Therefore, prediction of chromatographic behavior, which should lead to an improved separation, is a complicated process in MLC [10][11][12][13][14][15][16][17]. For this purpose, methods of multivariate analysis are usually used.…”
Section: Introductionmentioning
confidence: 99%