| Popis: |
Selection of best approach for detection, annotation, and throughput for lipidomics of biofluids is still complicated. To maximize the lipid detection, serum lipid profiling was performed on CSH-C18 and EVO-C18 column. The different column chemistries revealed better detection in CSH-C18 (2671 MS/MS) as compared to EVO-C18 (1574 MS/MS) with enhanced resolution of lipid-categories except glycerolipids (Triacylglycerols) and sphingolipids (sphingomyelin). For annotation, open-source (LIPIDMAPS®, LipidBlast) and SCIEX-provided (LipidView™) library softwares were compared. Conclusively, LIPIDMAPS® identified majority molecules (409, CSH-C18 and 279, EVO-C18). LipidBlast and LipidView™ however provided confirmatory annotation based on fragmentation patterns. The study reveals an optimized untargeted Lipidomics-workflow with comprehensive lipid-profiling and confirmatory annotated features. |
