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In mass spectrometry-based lipidomics, complex lipid mixtures undergo chromatographic separation, ionization, and detection using high resolution, accurate mass (HRAM) mass spectrometry to simultaneously quantify and structurally characterize eluting species. The reported structural variety of identified lipids is strongly reliant on the analytical techniques utilized.
This webcast will present a novel lipidomics Real-Time Library Search (RTLS) approach on an Orbitrap Tribrid mass spectrometer that uses real-time lipid class identifications to trigger class-targeted MSn to improve the structural characterization of glycerophospholipids and sphingomyelins in the positive ion mode. This class-based RTLS method demonstrates improved selectivity compared to current methodology, enhancing lipid characterization applications.
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