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High-performance liquid chromatography (HPLC)-verified caffeine dose eased mental fatigue from nap deprivation in a recent pilot study.

Chromatography of tooth layers links prenatal pollutants to autism risk.

Frederic Lynen from the Separation Science Group in the Department of Organic and Macromolecular Chemistry at Ghent University, Belgium discusses why he worked with Gaëlle Spileers to develop a high performance liquid chromatography X-ray fluorescence (HPLC–XRF) technique to analyze brominated flame retardants and other pollutants.

High-pressure liquid chromatography with tandem mass spectrometry (HPLC-MS/MS) was used to determine whether there is a link between serum PFAS and breast density.

Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-olfactometry (GC-O) pinpoint key odorants behind soybean off-flavor profiles.

Asked for one change to ease PFAS analysis, the panel points to better communication and smarter use of AI tools.

Melissa Dunkle, senior research scientist at Dow Benelux BV, The Netherlands, explores practical aspects of using multidimensional pyrolysis gas chromatography (Pyr-GCxGC) to investigate fluoropolymer degradation.

High-resolution liquid chromatography-tandem mass spectrometry (HRLC-MS/MS) reveals how low-oxygen burials preserve ancient brain proteins.

Soil chromatography reveals how fluridone herbicide persists in cotton farmland.

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.