A simple procedure for the rapid optimization of reversed-phase separations with ternary mobile phase mixtures

Optimization of mobile phase for separation of carbohydrates in honey by high performance liquid chromatography using a mixture design

“…22 The solvent strength that characterizes the isocratic ternary mixtures tested was adjusted obtaining k' values in the acceptable retention range of 0.5 < k' < 20. 22,24,25,30 To optimize the mobile phase composition a simplex centroid design with axial points was used. The design permits the determination of linear, quadratic and special cubic models.…”

“…Two chromatographic functions were adopted to evaluate peak separation quality and model analysis, the ΠRs function proposed by Schoenmakers et al 25 and Drouen et al 24 and the COF defined por Glajch et al 30 In optimization studies these response functions are adequate to evaluate the quality of peak separation for multicomponent mixtures, since they furnish a unique numerical value to describe the chromatogram of each miscible phase mixture. 30 The values of ΠRs and COF functions for the chromatograms of the nine mixtures and their replicates are given in Table 2.…”

“…3, 2006 Many methods have been developed to optimize chromatographic parameters (mobile phase composition, column length, temperature and composition of stationary phase). [21][22][23][24][25][26] The optimization of the mobile phase to improve separation in HPLC can be done using multivariate statistical designs. [21][22][23][26][27][28][29] One of the most commonly used methods is presented by Glajch et al 30 This method is based on modeling retention time and resolution of the seven chromatograms corresponding to simplex centroid design by a second order polynomial in three mobile phase solvent proportions.…”

Evolution from univariate to multivariate optimization methods in liquid chromatography

“…One of the most important goals in chromatography is to maximize the resolution between adjacent solutes 1), which may be calculated from the following equation ) (1) where N is the number of theoretical plates and k is the capacity factor. Several quality criteria have been developed based on resolution alone, ranging from simple functions such as the limiting resolution of the least-resolved solute pair [4-61 to more complex functions such as the sum or product of the resolution for all adjacent solute pairs, without or with weighting factors [7,8]. In addition to resolution, other goals have been incorporated or applied in either a simultaneous or sequential manner [l].…”

Application of uniform design and genetic algorithm in optimization of reversed-phase chromatographic separation

“…Many methods have been developed in order to optimize the parameters of interest in chromatography [1][2][3][4][5][6][7], which can be divided into two categories [1]. One is the sequential method, in which experiments are performed without consideration of the solute retention before the design of the experiments, such as simplex [2], complex [3], and iterative design [4]. The optimization results obtained with these methods have high accuracy, but the optimum is not global and many experiments are required.…”