Since the shortage in the supply of acetonitrile (ACN) began in late 2008, HPLC users suffer under more and more purchasing problems and higher costs. With our Eluent Savings Handbook we give you a range of practical tips and suggestions to help you deal with the acetonitrile shortage. Act now: Our Eluent Savings Handbook offers specific solutions for saving solvent, which will not only reduce the amount of HPLC eluents you use, but also benefit the environment by reducing waste. Learn more about how to save eluent by slimming methods, by UHPLC, by substitution and more.
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.