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Intact lipid imaging of mouse brain samples: MALDI, nanoparticle-laser desorption ionization, and 40 keV argon cluster secondary ion mass spectrometry

Artikel i vetenskaplig tidskrift
Författare Amir Saeid Mohammadi
Nhu TN Phan
John S. Fletcher
Andrew G Ewing
Publicerad i Analytical and Bioanalytical Chemistry
Volym 408
Nummer/häfte 24
Sidor 6857-6868
ISSN 1618-2642
Publiceringsår 2016
Publicerad vid Institutionen för kemi och molekylärbiologi
Sidor 6857-6868
Språk en
Länkar link.springer.com/article/10.1007/s...
Ämnesord Mass spectrometry imaging; Gas cluster; SIMSMALDI; Nanoparticle-LDI; Lipids; BIOLOGICAL TISSUE; TOF-SIMS; ALZHEIMERS-DISEASE; DROSOPHILA BRAIN; MATRIX; DESORPTION/IONIZATION; MS; RESOLUTION; CELLS; BEAMS
Ämneskategorier Radiologi och bildbehandling, Analytisk kemi, Atom- och molekylfysik och optik

Sammanfattning

We have investigated the capability of nanoparticle-assisted laser desorption ionization mass spectrometry (NP-LDI MS), matrix-assisted laser desorption ionization (MALDI) MS, and gas cluster ion beam secondary ion mass spectrometry (GCIB SIMS) to provide maximum information available in lipid analysis and imaging of mouse brain tissue. The use of Au nanoparticles deposited as a matrix for NP-LDI MS is compared to MALDI and SIMS analysis of mouse brain tissue and allows selective detection and imaging of groups of lipid molecular ion species localizing in the white matter differently from those observed using conventional MALDI with improved imaging potential. We demonstrate that high-energy (40 keV) GCIB SIMS can act as a semi-soft ionization method to extend the useful mass range of SIMS imaging to analyze and image intact lipids in biological samples, closing the gap between conventional SIMS and MALDI techniques. The GCIB SIMS allowed the detection of more intact lipid compounds in the mouse brain compared to MALDI with regular organic matrices. The 40 keV GCIB SIMS also produced peaks observed in the NP-LDI analysis, and these peaks were strongly enhanced in intensity by exposure of the sample to trifluororacetic acid (TFA) vapor prior to analysis. These MS techniques for imaging of different types of lipids create a potential overlap and cross point that can enhance the information for imaging lipids in biological tissue sections.

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