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Workflow for Fast Lipid Tissue Screening using LESA-FT-ICR-MS

Abstract

Lipid screening of biological substrates is an important component during biomarker detection and identification. In this work, a fast workflow is described capable of rapid screening for lipid components from biological tissues at ambient pressure based on liquid microjunction extraction in tandem with nano-electrospray ionization (nESI) with ultra-high resolution mass spectrometry, i.e., liquid extraction surface analysis (LESA) coupled to Fourier-transform ion cyclotron resonance (tandem) mass spectrometry (LESA-FT-ICR-MS/MS). Lipid profiles are presented for thin tissue sections of mouse brain (MB) and liver (ML) sample, analyzed in both positive and negative mode by data-dependent acquisition (DDA) tandem FT-ICR-MS/MS. Candidate assignments were based on fragmentation patterns using mostly SimLipid software and accurate mass using mostly the LipidMaps database (average sub-ppm mass error). A typical, single point surface analysis (< 1 mm spatial sampling resolution) lasted less than 15 minutes and resulted in the assignment of (unique and mulitple) lipid identifications of ~190 (MB) and ~590 (ML) m/z values. Despite the biological complexity, this led to unique identifications of distinct lipid molecules (sub-ppm mass error) from 38 different lipid classes, corresponding to 10-30% of the lipid m/z identifications.

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Supplementary files

Publication details

The article was received on 15 Dec 2018, accepted on 06 Apr 2019 and first published on 10 Apr 2019


Article type: Paper
DOI: 10.1039/C8AY02739K
Citation: Anal. Methods, 2019, Accepted Manuscript

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    Workflow for Fast Lipid Tissue Screening using LESA-FT-ICR-MS

    J. R.N. Haler, E. Sisley, Y. Cintron Diaz , S. Meitei , H. J. Cooper and F. Fernandez-Lima, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C8AY02739K

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