Multi-segment linear gradient optimization strategy based on resolution map in HPLC

Abstract

Based on the mechanism of chromatographic retention (the relationship between the retention of solute and the mobile phase conditions) and method of resolution map, several methods of optimizing multi-segment linear gradient elution conditions were proposed according to the different separation requirements of various samples. These methods were verified using literature data. Moreover, the advantages and disadvantages of these methods were compared. It was proved that the third method is a fast optimization method which is capable of separating all the components with relatively high resolution. © Springer, Part of Springer Science+Business Media [accessed 2013 November 27th

Enhanced selectivity and search speed for method development using one-segment-per-component optimization strategies

“…However, multilinear gradient optimization is mostly done in a trial-and-error fashion using simulation software such as DryLab [17,18]. This approach starts from the best linear gradient, inserting a number of node points, and subsequently dragging and dropping each node and evaluating the corresponding simulated chromatogram until a satisfactory separation is obtained.…”

“…The best "traditional" multi-segment gradient profile (determined by a starting composition 0 and a value for ˇ and t G for each segment) was determined via a similar grid search. Based on our own findings and these of Concha-Herrara et al [12], only 4-segment gradients were considered as these give the best compromise between the achievable selectivity (in gradient elution this is the ratio between the apparent gradient retention factors k eff,1 /k eff,2 [16][17][18][19][20][21][22][23][24][25][26][27]) and the required search time. The grid search was conducted considering different starting concentrations %B between 5 and 95% (step size of 0.5%) and a number of ˇ-and t G -values for each of the 4 segments (ˇ going from 0.001 to 0.2, corresponding to 0.1 to 20%B/min, i.e., ln(ˇ) between −6.9 and −0.70 and t G /t 0 between 1 and 12).…”

Computer-assisted multi-segment gradient optimization in ion chromatography

“…To replace the traditional trial-and-error optimization approach, computational tools such as those used for optimization of mobile phase composition in reversed phase liquid chromatography (RPLC) [10][11][12][13][14][15][16][17] would greatly facilitate the method development (MD) process. Computer simulation of the resulting chromatogram under various gradient conditions can be used to reduce the number of experiments and to speed up the MD process.…”

Use of individual retention modeling for gradient optimization in hydrophilic interaction chromatography: Separation of nucleobases and nucleosides

“…To speed up the method development (MD) process in chromatography, fully or semi-automated MD software programs have been developed for reversed phase liquid chromatography (RPLC) [1][2][3][4][5][6]. These automated MD strategies for RPLC described in literature are either search-based (e.g.…”