Title: Enhanced selectivity and search speed for method development using one-segment-per-component optimization strategies
Authors: Tyteca, Eva ×
Vanderlinden, Kim
Favier, Maxime
Clicq, David
Cabooter, Deirdre
Desmet, Gert #
Issue Date: Sep-2014
Publisher: Elsevier
Series Title: Journal of Chromatography A vol:1358 pages:145-54
Article number: 10.1016/j.chroma.2014.06.097
Abstract: Linear 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 multi-segment 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.
ISSN: 0021-9673
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Pharmaceutical Analysis
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science