The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

At Pittcon 2026, Dal Nogare Award winner André Striegel discusses unresolved chromatography fundamentals and outlines research paths for progress. At Pittcon 2026, LCGC International spoke with André ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

General anesthesia remains necessary in ~5–10% of cesarean deliveries, yet uncertainties persist regarding how end-tidal ...

Discover how a unified GC platform can help laboratories improve uptime, streamline workflows, and stay prepared for evolving ...

Hans-Gerd Janssen reflects on the importance of the Riva Conference conference to advance his expertise in separation science ...

The desirable goals to achieve a sustainable process are approaches such as supercritical fluid chromatography (SFC), low ...

Top articles published this week include a two part discussion on slalom chromatography, a look at the current analytical ...

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Researchers using gas chromatography–mass spectrometry (GC-MS) to study the gases released from heat-treated spruce wood ...

Peter Tranchida is a full professor at the University of Messina in Italy. He is also on the organizing committee for the ...

Food is one of the most challenging matrices to analyze in terms of complexity. The panelists explore the role that ...