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Structural Lipidomics Using Real-Time Library Search or, how Mass Spectrometry with on-the-fly Software Improves Phospholipid Characterization

RECORD | Already taken place Su, 1.1.2023
In this webinar we describe a novel lipidomics Real-Time Library Search (RTLS) approach on the Orbitrap Ascend™ Tribrid mass spectrometer.
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Thermo Fisher Scientific: Structural Lipidomics Using Real-Time Library Search or, how Mass Spectrometry with on-the-fly Software Improves Phospholipid Characterization
Thermo Fisher Scientific: Structural Lipidomics Using Real-Time Library Search or, how Mass Spectrometry with on-the-fly Software Improves Phospholipid Characterization

In mass spectrometry-based lipidomics, complex lipid mixtures undergo chromatographic separation, ionization, and detection using a high resolution, accurate mass (HRAM) instrument to simultaneously quantify and structurally characterize eluting species. The reported structural variety of identified lipids is strongly reliant on the analytical techniques utilized.

In this webinar we describe a novel lipidomics Real-Time Library Search (RTLS) approach on the Orbitrap Ascend™ Tribrid mass spectrometer which utilizes the lipid class of real-time identifications to trigger class-targeted MSn and to improve the structural characterization of glycerophospholipids and sphingomyelins in positive ion mode. Our class based RTLS method demonstrates improved selectivity compared to current methodology, enhancing lipid characterization applications.

Key learning objectives

  • How recent technology advancements improve lipid analysis
  • What type of samples can be analyzed using on-the-fly mass spectrometry
  • Tips and tricks end users can employ to get more confident lipid annotation
     

Presenter: Dain Brademan, Ph.D. Postdoctoral Fellow (Coon Laboratory, Morgridge Institute for Research, University of Wisconsin–Madison)

Dr. Brademan’s research focuses on how mass spectrometry data can be acquired, analyzed, and disseminated more efficiently. He has developed several software packages and web-based data visualization platforms which facilitate the analysis and interpretation of mass spectrometry data in a secure and intuitive environment.

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