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Journal of Separation Science|November 7, 2018
Guidelines for tuning the macropore structure of monolithic columns for high-performance liquid chromatographyJosé Luís Dores-Sousa, Alejandro Fernández-Pumarega, Jelle De Vos, et al.Journal of Chromatography. A|July 23, 2015
High-speed isocratic and gradient liquid-chromatography separations at 1500barJelle De Vos, Mauro De Pra, Gert Desmet, et al.Analytical Chemistry|July 16, 2004
Theoretical comparison of the band broadening in nonretained electrically and pressure-driven flows through an ordered chromatographic pillar packingAchim Van Theemsche, Piotr Gzil, Calin Dan, et al.Journal of Chromatography. A|December 18, 2013
Detailed characterization of the kinetic performance of first and second generation silica monolithic columns for reversed-phase chromatography separationsDeirdre Cabooter, Ken Broeckhoven, Roman Sterken, et al.The Analyst|August 23, 2013
Exploring the speed limits of liquid chromatography using shear-driven flows through 45 and 85 nm deep nano-channelsSelm De Bruyne, Wim De Malsche, Veronika Fekete, et al.Journal of Chromatography. A|November 29, 2023
Comprehensive analysis of the effective and intra-particle diffusion of weakly retained compounds in silica hydrophilic interaction liquid chromatography columnsLídia Redón, Xavier Subirats, Soraya Chapel, et al.Journal of Separation Science|October 7, 2016
Comprehensive study of the macropore and mesopore size distributions in polymer monoliths using complementary physical characterization techniques and liquid chromatographySam Wouters, Tom Hauffman, Marjo C Mittelmeijer-Hazeleger, et al.Journal of Separation Science|August 24, 2010
Use of kinetic plots for the optimization of the separation time in ultra-high-pressure LCSebastiaan Eeltink, Wim M C Decrop, Frank Steiner, et al.Journal of Separation Science|March 5, 2013
High-resolution peptide separations using nano-LC at ultra-high pressureLucie Nováková, Axel Vaast, Catherine Stassen, et al.Journal of Chemical Information and Modeling|October 14, 2017
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships StudiesRuth I J Amos, Eva Tyteca, Mohammad Talebi, et al.Pageof 34