LCGC TV: Gérard Hopfgartner on Advances in Ion Mobility Mass Spectrometry
Performing liquid chromatography–mass spectrometry (LC–MS) analysis on tissue samples requires sample homogenization, which destroys the sample and loses its spatial resolution. Gérard Hopfgartner from the University of Geneva, University of Lausanne, Switzerland, presents an alternative method coupling liquid extraction surface analysis with modifier-assisted differential ion mobility spectrometry, describes other application areas, and gives his opinion on whether this is the beginning of the end for chromatography.
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?
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–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.