Stationary-Phase Optimized Selectivity Liquid Chromatography: Development of a Linear Gradient Prediction Algorithm

Beer, Maarten De; Lynen, Frédéric; Chen, Kai; Ferguson, Paul; Hanna-Brown, Melissa; Sandra, Patrick

doi:10.1021/ac902287v

Cited by 54 publications

(26 citation statements)

References 48 publications

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“…In reversed-phase liquid chromatography, selectivity can be obtained by varying many adjustable parameters: stationary phase chemistry, mobile phase composition, temperature, pH and of course by imposing a gradient mobile phase program [1][2][3][4][5][6][7][8][9][10]. Most gradient programs used in practice are simply linear.…”

Section: Introductionmentioning

confidence: 99%

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

Tyteca

Vanderlinden

Favier

et al. 2014

Journal of Chromatography A

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a b s t r a c tLinear gradient programs are very frequently used in reversed phase liquid chromatography to enhance the selectivity compared to isocratic separations. Multi-linear gradient programs on the other hand are only scarcely used, despite their intrinsically larger separation power. Because the gradient-conformity of the latest generation of instruments has greatly improved, a renewed interest in more complex multisegment gradient liquid chromatography can be expected in the future, raising the need for better performing gradient design algorithms. We explored the possibilities of a new type of multi-segment gradient optimization algorithm, the so-called "one-segment-per-group-of-components" optimization strategy. In this gradient design strategy, the slope is adjusted after the elution of each individual component of the sample, letting the retention properties of the different analytes auto-guide the course of the gradient profile. Applying this method experimentally to four randomly selected test samples, the separation time could on average be reduced with about 40% compared to the best single linear gradient. Moreover, the newly proposed approach performed equally well or better than the multi-segment optimization mode of a commercial software package. Carrying out an extensive in silico study, the experimentally observed advantage could also be generalized over a statistically significant amount of different 10 and 20 component samples. In addition, the newly proposed gradient optimization approach enables much faster searches than the traditional multi-step gradient design methods.

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Section: Introductionmentioning

confidence: 99%

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

Tyteca

Vanderlinden

Favier

et al. 2014

Journal of Chromatography A

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“…The use of multiple solid stationary phases in stationary phase-optimized selectivity liquid chromatography (SOSLC) furnishes another approach to enhance separation [22][23][24][25]. In DMCC, separation can be enhanced by the use of multiple liquid stationary phases.…”

Section: Discussionmentioning

confidence: 99%

Dispersed Mobile-Phase Countercurrent Chromatography

Xue

2016

Separations

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Countercurrent distribution based on liquid-liquid partition is a powerful separation method with minimal incurrence of loss of solutes, but its industrial application has been limited by cumbersome shifting of immiscible solvents. Although centrifugation has been employed to facilitate equilibration between phases, process scaling-up remains difficult. In this study, a dispersed mobile-phase countercurrent chromatography (DMCC) method has been developed to adapt the countercurrent distribution principle to a continuous column chromatography format. Continuous solute exchange between two immiscible phases within a series of separation columns is achieved by mechanical dispersion of an influx of mobile phase into an upward stream of small droplets travelling through the columns filled with stationary phase. The diameter, length, and number of columns, and the number of stationary phases employed in the different columns can be varied to match the requisite scale and resolution of operation. Illustrations of DMCC were provided by examples of solute separations where the fractionated solutes could be collected either from the eluate of the series of columns, or from drainage of the stationary phases in the individual columns at the end of a chromatographic run.

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“…However, HPLC with a single column still presents challenges in terms of resolution, analysis time and baseline drift in gradient elution, due to the limited chemistry of conventional stationary phases. The combination of retention mechanisms by coupling two or more columns in mono- [4][5][6][7][8][9][10][11][12], or multi-dimensional [13][14][15][16] configurations, is currently the best solution to solve this drawback, which has opened enormously the range of resolutions. It is possible to achieve almost continuous transitions between the selectivity of two or more stationary phases by combining columns.…”

Section: Introductionmentioning

confidence: 99%

“…It is possible to achieve almost continuous transitions between the selectivity of two or more stationary phases by combining columns. However, being the combination of different columns in multi-column HPLC, a highly powerful tool to resolve complex samples, its success requires the assistance of an interpretive optimisation of the separation conditions [7,9,12,17].…”

Section: Introductionmentioning

confidence: 99%

Serial versus parallel columns using isocratic elution: A comparison of multi-column approaches in mono-dimensional liquid chromatography

Alvarez-Segura

Ortiz-Bolsico

Torres-Lapası́o

et al. 2015

Journal of Chromatography A

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Stationary-Phase Optimized Selectivity Liquid Chromatography: Development of a Linear Gradient Prediction Algorithm

Cited by 54 publications

References 48 publications

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

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

Dispersed Mobile-Phase Countercurrent Chromatography

Serial versus parallel columns using isocratic elution: A comparison of multi-column approaches in mono-dimensional liquid chromatography

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