Researchers at Auburn University are seeking ways to identify unknown compounds using collision cross section (CCS) measurements paired with prediction methods including computational models and machine learning. Their study in the Journal of Mass Spectrometry discusses different types of technologies for the determination of CCS values.
Click here for original story, Measuring and predicting collision cross section values for unknown compounds
Source: Phys.org