Sam Whitmarsh explores how retention-time models handle interlaboratory data, novel chemotypes, unusual phases and ionisable compounds, and what labs need to do to build useful in-house models.
Sam Whitmarsh describes a practical workflow for predicting reversed-phase LC retention times using ensemble machine learning and open chromatographic data.
Optimized preparation and data-independent acquisition (DIA) liquid chromatography–mass spectrometry (LC-MS) detect up to 6500 proteins in laboratory-grown duck.