Posters
Characterization of previously unresolved lipids - Vanderbilt University | ASMS 2022
Characterization of Previously Unresolved Lipids with High-Resolution Ion Mobility Mass Spectrometry
Author(s)
Bailey Rose PhD - Vanderbilt University
Abstract
Lipids are structurally and functionally diverse biomolecules important in many biological processes. Here, we demonstrate HRIM of total lipid extracts, elucidating features that are unresolved in drift tube IM (DTIM). We then use a subclass-specific calibration method to assign collision cross section (CCS) values towards comprehensive lipid annotation.
Customer Intro
Problem
Solution
Conclusions
Abstract
- When calibrated with HFAP calibrants and subclass-specific correction, TW-SLIM CCS values had an average absolute bias of 0.38% when compared to DTCCS values.
- The subclass-specific calibration approach provided a straightforward method for CCS calibration of TW-SLIM measurements and allowed for the curation of a HRIM lipid database.
- The low bias and high reproducibility (< 0.5% RSD) observed in this study sets the stage for interlaboratory comparison and standardization for future HRIM database building.
- Complementary dimensions such as LC and MS/MS will be used toward the full annotation of newly resolved features.
- Complete annotation of these features will improve the structural specificity of CCS databases, as well as the efficacy of predictive approaches based on these databases.
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