
Latest from LCGC International
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AI/ML Now: Can Bayesian Graph Theory Work in the Routine Laboratory?

RP-HPLC, LC-MS/MS Shows Recovery Time for Cobra Venom Production

AI/ML Now: Peak Assignment and Alignment: Practical Aspects of a Graph Theory and a Bayesian Statistics Approach

Best of the Week: From Cancer Diagnostics to Smarter LC Method Development

AI/ML Now: Using Graph Theory and Bayesian Statistics for Peak Assignment and Chromatographic Alignment

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Gas chromatography (GC) analysis ties prenatal mindfulness to shifts in placental fatty acids.

Gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.

How can advanced separations, inert hardware, orthogonal methods, and AI solve key challenges in reliable GLP-1 peptide analysis workflows?

Liquid chromatography–tandem mass spectrometry (LC–MS/MS) reveals distinct sphingolipid patterns in anorexia and obesity.

Leon Niezen and Gert Desmet discuss uncertainty-driven LC method development, peak overlap, and moving from in silico to real data.

Leon Niezen and Gert Desmet describe how predictive uncertainty can make automated LC method development more reliable.

Liquid chromatography–mass spectrometry (LC–MS) serum profiling ties lysine compounds to lupus kidney disease.

Industry Roundup: Waters Posts Strong Third Quarter as LC–MS and Chromatography Consumables Drive Growth, Acquires Ion Mobility Pioneer MOBILion
Liquid chromatography-mass spectrometry (LC–MS) growth lifts Waters Q3; MOBILion ion mobility buy expands proteomics.

Liquid chromatography–tandem mass spectrometry (LC–MS/MS) measures galactose-1-phosphate in dried blood spots to monitor galactosemia.

Sam Whitmarsh explores how retention-time models handle interlaboratory data, novel chemotypes, unusual phases and ionisable compounds, and what labs need to do to build useful in-house models.

Dual-column ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) reveals urine markers of apple intake lasting 24 hours.

AI/ML Now: Predicting Reversed-Phase LC Retention Using Ensemble Machine Learning and Open Chromatographic Data (Part One)
Sam Whitmarsh describes a practical workflow for predicting reversed-phase LC retention times using ensemble machine learning and open chromatographic data.

This month's LCGC Blog explores the variety of career options that are open to separation scientists.

Optimized preparation and data-independent acquisition (DIA) liquid chromatography–mass spectrometry (LC-MS) detect up to 6500 proteins in laboratory-grown duck.




























