Welcome to the website of the Chemometrics & Advanced Separations Team (CAST) of Bob Pirok and Saer Samanipour, with researchers from the University of Amsterdam and VU University Amsterdam. The team comprises enthusiastic researchers from both universities who devote a bit of their time to developing guides and tools for use by the community. Here, you will be able to find useful, information, software and tools for use in mass spectrometry and (multi-dimensional) chromatography.
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.
PhD candidate Mimi den Uijl has together with her co-workers reviewed recent applications of retention modelling in LC. In the review, den Uijl furthermore identified key application areas where retention modelling received a significant degree of interest.
What are the latest developments around detection techniques for (polymer) LC? Where are the opportunities? Our talented PhD candidate and colleague Wouter Knol answers these and more questions in his open-access review published in Journal of Separation Sciences together with polymer expert Prof. Ron Peters.
We maintain a searchable database containing all 2D-LC methods published since the 1978 paper by Erni and Frei. The database, which contains over 550 methods, is part of a collaboration between the University of Amsterdam (Pirok) and Gustavus Adolphus College (Stoll).