At analytica 2026, Gauthier Eppe described adding ion mobility–HRMS to GC–HRMS workflows to support analysis of environmental ...

Uniform, globally accepted greenness metrics are positioned as essential; inconsistent scoring frameworks would erode ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Pungency levels (capsaicinoid content) are critical traits influencing the quality and commercial value of chili peppers ( ...

A 180-day brain-phantom contact model enabled comparative estimation of potential leachable migration from PU-insulated DBS ...

André Striegel discusses how work in industry, academia, and government has shaped his view of innovation in separation ...

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 ...

Gas chromatography–mass spectrometry (GC–MS) analysis of cotton headspace volatiles showed that plant growth-promoting rhizobacteria consortia alter emission profiles linked to reduced Spodoptera ...

At Pittcon 2026, Mary Ellen McNally discussed sustainable chromatography, highlighting SFC, low-solvent LC, and greener ...

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

Renewed mechanistic understanding of slalom chromatography explains high-resolution DNA/RNA sizing as an out-of-equilibrium ...