This study introduces an HDX-MS titration workflow for quantifying protein–ligand affinities at global, peptide, and residue resolution.

This study uses temperature-controlled IM-MS to monitor protein unfolding and oligomer formation in real time, revealing early aggregation pathways.

This study compares ELISA and UHPLC-MS/MS for ergot alkaloid analysis, highlighting the effects of cross-reactivity and sample matrix.

Explore the scientific program of ISC 2026, featuring world-leading experts in chromatography, mass spectrometry, omics, bioanalysis, AI, and separation science across four days in Prague.

ISC 2026 tutorial lectures will feature internationally recognized experts covering chromatography, electrophoresis, mass spectrometry, miniaturized separations, and sample preparation.

RIVA 2026 will honor leading scientists in chromatography and GC×GC, recognizing lifetime achievements and emerging talent across capillary and multidimensional separations.

LCMS-Net is an end-to-end deep learning model for raw LC-HRMS data, improving accuracy, reducing preprocessing, and minimizing batch effects in metabolomics.

This study shows native protein stability in IMS-MS varies with ionization polarity, being higher when ionization matches solution-phase charge.

Explore the future of chromatography at analytica 2026. Discover advances in sustainable LC, GC×GC, SFC, ion mobility and data-driven analytics shaping next-generation separation science workflows.

EU Drinking Water Directive 2020/2184 sets ultra-low limits for pesticides, PFAS, metals and endocrine disruptors. Learn how SPE and nitrogen evaporation enable LC-MS/MS compliance at ng/L levels.