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0:59
AI/ML Now: What is the Biggest Misconception About AI in Chromatography?
25 minutes ago
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Gert Desmet
0:53
How to Be Your Own Biggest Advocate
5 days ago
by
Amandaa K. Brewer
0:42
Analytics vs. AI
5 days ago
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Tony Edge
0:33
The Key Differences in Academia and Industry
6 days ago
by
Amandaa K. Brewer
1:10
AI/ML Now: AI and Human Intelligence
7 days ago
by
Gert Desmet
1:28
Is AI Eroding Students’ Critical Thinking?
18 days ago
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Isabelle Kohler
0:34
The Evolution of a Career Trajectory
20 days ago
by
Isabelle Kohler
1:45
Are PhD Struggles Gender-Specific?
24 days ago
by
Isabelle Kohler
2:57
AI/ML Now: How Will AI/ML Change Chromatography Within Five Years?
25 days ago
by
Gert Desmet
0:53
The #1 Fear Every PhD Student Has
a month ago
by
Isabelle Kohler
LCGC International September/October Issue
Read the Latest Cutting-Edge Articles from LCGC
Separation Science in 2025–2026: The Products Shaping Analytical Workflows
Read More About the Latest Cutting-Edge Technology on the Market
The Column September Issue
A Look at the Latest Applications, Articles, and Interviews from the World of Chromatography
Peaks & Pioneers: Isabelle Kohler
Isabelle Kohler on Life Beyond the Traditional Academic Track
Advancing Miniaturized Column and Instrument Technologies for Capillary Liquid Chromatography
A Look at Recent Updates
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How feasible is it to integrate this Bayesian graph-theory methodology into existing commercial chromatography software workflows for semi-automated data curation in routine analytical laboratories?
Reversed-phase high-performance liquid chromatography (RP-HPLC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) show frequent milking alters cobra venom toxin makeup.
Gabriel Vivó-Truyols outlines the benefits and challenges of combining graph theory with Bayesian statistics to automate peak assignment and alignment.
This week, Chromatography Online’s coverage spanned lipidomics-based early cancer detection, career paths in separation science, machine learning and uncertainty-driven approaches to LC method development, new EU wastewater rules for pharmaceutical micropollutants, automated Separation Quality Factor (SQF) evaluation in chromatography data systems, and solutions to GLP-1 peptide analysis challenges.
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.
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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.
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.
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