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Poster De Conférence Année : 2023

Enhancing structural elucidation of the lipidome through optimized SFC-HRMS/MS hyphenation

Résumé

SFC separation on packed column for lipids analysis is well adapted thanks to the interclass lipid species separation as normal phase liquid chromatography1. The characterization of the lipidome typically requires the use of Data Dependent Acquisition (DDA) MS/MS method, which is limited to the fragmentation to the most intense signals during a cycle time2. Considering this issue, the strategy involving the iterative ion exclusion consisted of automatically placing prior fragmented ions on a list along sequential repetitive injections seems well adapted3. However, some MS/MS spectra at lower intensity present fragment ions of interest with weak signal-to-noise ratio. In this context, MS/MS acquisition method parameters are critical to ensure a short cycle time that meets this minimum requirements for an optimal coverage of lipid species in complex biological matrices. SFC gradient and MS/MS parameters of the Q/TOF were optimized to address this issue. A mix of lipid standards representing of 27 lipid classes were injected to determine the optimized parameters for the highly confident structural elucidation of lipid species present in complex biological matrices

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Dates et versions

hal-04647490 , version 1 (14-07-2024)

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  • HAL Id : hal-04647490 , version 1

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Marie Valmori, Vincent Marie, François Fenaille, Benoit Colsch, David Touboul. Enhancing structural elucidation of the lipidome through optimized SFC-HRMS/MS hyphenation. 39th French Days of Mass Spectrometry, Sep 2023, Gif-sur-Yvette, France. . ⟨hal-04647490⟩
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