April 3rd 2025
Radenkovic is a PhD candidate at KU Leuven and a member of FeMS. Her research focuses on inborn metabolic disorders (IMD), like congenital disorders of glycosylation (CDG), omics techniques such as tracer metabolomics, and different disease models.
UHPLC–MS Method Used to Detect Purine Metabolites and Study Severe Biological Disorders
December 5th 2023A recent study published in the Journal of Separation Science reveals how ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC–MS/MS) could be used to detect and quantify purine metabolites.
Untargeted Analysis in Petroleomics
December 1st 2023LCGC spoke to Leandro Wang Hantao from the University of Campinas in São Paulo, Brazil, about his work investigating the influence of ion management parameters on the data produced by comprehensive gas chromatography–high-resolution mass spectrometry (GC×GC–HRMS) equipped with a fourier transform-orbital ion trap mass analyzer, and his investigation into employing channel occlusion for sample preparation in untargeted analysis in petroleomics.
Machine Learning Models Help Researchers Predict the Ages of Ginseng
November 9th 2023To combat fraudulent sales of low-aged ginseng disguised as high-aged ginseng, scientists from Shanghai University of Traditional Chinese Medicine created machine learning models to predict the ages of ginseng samples.
The Evolution of Breath Analysis
November 3rd 2023The Column spoke with Ilaria Belluomo from Imperial College London, UK, about her research in breath analysis. She details her work into a noninvasive breath test that can be used to detect colorectal cancer using GC–MS. She also discusses the use of SIFT-MS for the analysis of VOCs in breath.