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Soil chromatography reveals how fluridone herbicide persists in cotton farmland.

The experts compare direct injection and solid-phase extraction for handling PFAS in complex matrices.

Gas chromatography-mass spectrometry (GC-MS) reveals how alcohol and acidity shape climate-linked wine aroma compounds.

The panel tackles the paradox of background contamination: the lower detection limits go, the more PFAS turn up everywhere.

Gas chromatography (GC) shows ultrasound-treated pea starch reduces oil in fried corn starch foods.

Daniel Vik from Amgen Research Copenhagen, Denmark discusses the motivation behind applying machine learning to chromatographic retention time prediction and its growing importance in modern pharmaceutical research. He shares insights into the challenges of developing robust predictive models, their role in supporting high-throughput drug discovery workflows, and the potential of artificial intelligence to make analytical chemistry more efficient and scalable.

Bryan Vining, David Megson, and Pasquale Avino examine why ultrashort-chain PFAS like TFA are reshaping analytical priorities.

Low-pressure gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) quantifies 37 volatile PFAS in food packaging in 8 minutes.

Jie Du of Cardinal Health discusses with LCGC International how switching from reversed-phase to hydrophilic interaction liquid chromatography (HILIC) can unmask a hidden excipient artifact mistaken for a true leachable.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS reveals antibiotics, PFAS, and toxic metals in cat kibble.

This week, Chromatography Online featured conversations from ASMS 2026 on untargeted MS/MS quantitation, RPLC-HRMS analysis of PLGA copolymers, and AI/ML predictions for non-targeted LC–ESI–HRMS workflows, alongside expert debate on harmonizing PFAS analytical methods and a sensor GC study examining whether water chasers affect alcohol metabolism.

Atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry (AP-MALDI-MS screens black pepper for fraud with minimal preparation.