Tips and tricks for LC–MS-based metabolomics and lipidomics analysis

Application Note Metabolomics/ Clinical Research Long-Term Robustness of Agilent LC/Q-TOF Systems for Untargeted Lipidomics In large plasma cohort studies for clinical research Authors Abstract Tomas Cajka, Brian DeFelice, Gert Wohlgemuth, Tong Shen, and Oliver Fiehn University of California, Davis Genome…

Review article https://doi.org/10.1038/s41467-025-63751-1 Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data Received: 27 July 2024 1234567890():,; 1234567890():,; Accepted: 25 August 2025 Check for updates Jakub Idkowiak1,2, Jonas Dehairs 2, Jana…

English Hong Kong | Application Note A Rapid, Workflow Driven Approach to Discovery Lipidomics Using Ion Mobility DIA UPLC/MS and Lipostar™ Nyasha Munjoma, Lee A. Gethings, Robert S. Plumb, Graham Mullard, Paolo Tiberi, Laura Goracci Waters Corporation, University of Perugia,…

Application Note Life Science Research An End-to-End Untargeted LC/MS Workflow for Metabolomics and Lipidomics Authors Sierra D. Durham, Karen E. Yannell, Cate Simmermaker, Genevieve Van de Bittner, Lee Bertram, Daniel Cuthbertson, and Chris Klein Agilent Technologies, Inc. Abstract Untargeted metabolomics…