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In a study conducted at the van 't Hoff Institute for Molecular Sciences at the University of Amsterdam (the Netherlands), researchers developed poly(acrylamide-co-N,N-methylene-bis(acrylamide) monolithic HILIC columns optimized for protein separation.LCGC International spoke to Annika van der Zon and Andrea Gargano, both from the van 't Hoff Institute and corresponding authors of the paper, to learn more about their research

Recent developments in lipidomics and metabolomics have highlighted persistent challenges in data processing, statistical analysis, and visualization—areas that often hinder reproducibility, transparency, and accessibility within the field. A newly published guideline addresses these issues by presenting a comprehensive, code-based framework for the statistical treatment and graphical representation of omics data using R and Python. LCGC International spoke to Michal Holcapek and Jakub Idkowiak about the rationale behind this research and the benefits it offers separation scientists.