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.
|Articles|July 25, 2023
Merck Simplifies and Streamlines Method Development with In Silico Modeling
Author(s)ACD/Labs
Retention modeling has proven to be a successful technique in accelerating method development and optimization. This case study gives a more detailed insight into how scientists at Merck use computer-assisted modeling to develop robust methods faster.
Related to this article
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.
Trending on LCGC International
1
LC–MS/MS Dried Blood Spot Test for Galactosemia
2
GLP-1 Peptide Analysis: Challenges and Solutions
3
AI/ML Now: Uncertainty-Driven Model-Based Search Methods for Method Development in Liquid Chromatography (Part One)
4
Industry Roundup: Waters Posts Strong Third Quarter as LC–MS and Chromatography Consumables Drive Growth, Acquires Ion Mobility Pioneer MOBILion
5