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Issue 18, 2019
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Workflow for fast lipid tissue screening using LESA-FT-ICR-MS

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Abstract

Lipid screening of biological substrates is an important step 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) samples, 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.

Graphical abstract: Workflow for fast lipid tissue screening using LESA-FT-ICR-MS

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Supplementary files

Article information


Submitted
15 Dec 2018
Accepted
06 Apr 2019
First published
10 Apr 2019

Anal. Methods, 2019,11, 2385-2395
Article type
Paper
Author version available

Workflow for fast lipid tissue screening using LESA-FT-ICR-MS

J. R. N. Haler, E. K. Sisley, Y. L. Cintron-Diaz, S. N. Meitei, H. J. Cooper and F. Fernandez-Lima, Anal. Methods, 2019, 11, 2385
DOI: 10.1039/C8AY02739K

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