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Nov 06, 2026 | News
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LCGC International September/October Issue
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Separation Science in 2025–2026: The Products Shaping Analytical Workflows
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The Column September Issue
A Look at the Latest Applications, Articles, and Interviews from the World of Chromatography
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A Look at Recent Updates
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Gabriel Vivó-Truyols from the Spanish Council for Scientific Research, Madrid, Spain. discusses his work on using graph theory and Bayesian statistics for peak assignment and chromatographic alignment.
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
Published: | Updated:
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.
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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)
Published: | Updated:
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.
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