POSTER
Untargeted lipidomics workflows target the profiling of changes in the lipidome in order to discover relevant lipids as potential biomarkers. This approach relies on robustly identifying a large number of lipids and statistically evaluating their relative abundances.
This poster presents an improved lipidomics identification workflow that is based a combination of LC-MS and TIMS separation together with a very fast data dependent MS/MS fragmentation (PASEF).
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