Analytical scientists are faced with the task of finding the right column from an almost unmanageable range of products. This paper focuses on columns that enable protein analysis under native conditions through size exclusion, hydrophobic interaction, and ion exchange chromatography. It will highlight the different column characteristics—pore size, particle size, base matrices, column dimensions, ligands—and which questions will help decide which columns to use.
Nano-liquid chromatography-high-resolution tandem mass spectrometry (nano-LC-HRMS/MS) reveals saliva protein shifts before and after multiple sclerosis therapy.
Max Besenhard explains how hybrid mechanistic and machine learning models can make HPLC method development quicker, more robust and ready for autonomous digital twins.