Leon Niezen and Gert Desmet describe how predictive uncertainty can make automated LC method development more reliable.

Liquid chromatography–mass spectrometry (LC–MS) serum profiling ties lysine compounds to lupus kidney disease.

Liquid chromatography-mass spectrometry (LC–MS) growth lifts Waters Q3; MOBILion ion mobility buy expands proteomics.

Liquid chromatography–tandem mass spectrometry (LC–MS/MS) measures galactose-1-phosphate in dried blood spots to monitor galactosemia.

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.

Dual-column ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) reveals urine markers of apple intake lasting 24 hours.

Sam Whitmarsh describes a practical workflow for predicting reversed-phase LC retention times using ensemble machine learning and open chromatographic data.