Mass Spectrometry

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Researchers have introduced MCnebula, a new framework for untargeted LC–MS/MS data analysis. MCnebula focuses on critical chemical classes and utilizes visualization techniques to streamline the analysis process, enabling efficient pathway analysis, biomarker discovery, and classification of unknown compounds beyond the limits of spectral libraries.

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In a presentation at HPLC 2023, Kevin Pagel of Freie Universität in Berlin, Germany described methods he has found most effective for better understanding the roles of glycans and glycoconjugates in biological processes.

The Future of Mass Spectrometry 2023

Webinar Date/Time: Day One: Monday, August 7th, 2023 9am EDT | 6am PDT | 2pm BST | 3pm CEST Day Two: Tuesday, August 8th, 2023 9am EDT | 6am PDT | 2pm BST | 3pm CEST

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A new study reveals that real-time library searching significantly improves the structural characterization of glycerophospholipids and sphingomyelins, offering enhanced selectivity and comprehensive analysis. By utilizing real-time identifications to trigger targeted MSn analyses, researchers gain deeper insights into these crucial lipid species.