Working with comprehensive 2D-LC (LC×LC) data can be highly challenging. This is particularly true for complex samples. Together with the group of Dwight Stoll, Stef Molenaar developed a pack-tracking algorithm to solve this.
We all know gradient data is less reliable than isocratic data for modelling retention. But to what extend? We investigated this together with the group of Dwight Stoll.
Tijmen Bos and other CAST members collaborated with Agilent Technologies to investigate means to minimize the effect of gradient deformation to retention modelling in LC.