Matrix phase fractionation: Investigating the compromise between dynamic range of analyte extraction and spatial resolution in mass spectrometry imaging.


Journal

Rapid communications in mass spectrometry : RCM
ISSN: 1097-0231
Titre abrégé: Rapid Commun Mass Spectrom
Pays: England
ID NLM: 8802365

Informations de publication

Date de publication:
15 Jun 2021
Historique:
revised: 26 02 2021
received: 08 11 2020
accepted: 31 03 2021
pubmed: 17 4 2021
medline: 17 4 2021
entrez: 16 4 2021
Statut: ppublish

Résumé

Matrix-assisted laser desorption ionisation with mass spectrometry imaging (MSI) has seen rapid development in recent years and as such is becoming an important technique for the mapping of biomolecules from the surface of tissues. One key area of development is the optimisation of analyte extraction by using modified matrices or mixes of common ones. A series of serial sections were prepared for lipid MSI by either dry coating (sublimation) or by wet spray application of several matrices. These samples were then evaluated for analyte extraction, delocalisation and dynamic range. We have shown that the spraying and sublimation methods of matrix application can be used complementarily. This creates large datasets, with each preparation method applied narrowly and then interpreted as a 'fraction' of the whole. Once combined, the dynamic range is significantly increased. We have dubbed this technique 'matrix phase fractionation'. We have found that, by utilising matrix phase fractionation for the detection of lipids in brain tissue, it is possible to create a significantly more comprehensive dataset than would otherwise be possible with traditional 'single-run' workflows.

Identifiants

pubmed: 33860568
doi: 10.1002/rcm.9106
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e9106

Informations de copyright

© 2021 John Wiley & Sons Ltd.

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Auteurs

Matthew B O'Rourke (MB)

Northern Clinical School, Bowel Cancer & Biomarker Lab, Faculty of Medicine and Health, The University of Sydney Level 8, Kolling Institute, Royal North Shore Hospital, NSW, 2065, Australia.

Barney Viengkhou (B)

School of Life and Environmental Sciences, Charles Perkins Centre and The Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, NSW, 2006, Australia.

Caine C Smith (CC)

Neuropathology Group, Discipline of Pathology, School of Medical Sciences and Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, NSW, 2006, Australia.

Lorenz Sonderegger (L)

Shimadzu Australasia, Unit F, 10-16 South Street, Rydalmere, NSW, 2116, Australia.

Matthew P Padula (MP)

School of Life Science and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo, 2007, Australia.

Greg T Sutherland (GT)

Neuropathology Group, Discipline of Pathology, School of Medical Sciences and Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, NSW, 2006, Australia.

Markus J Hofer (MJ)

School of Life and Environmental Sciences, Charles Perkins Centre and The Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, NSW, 2006, Australia.

Ben Crossett (B)

Sydney Mass Spectrometry, Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia.

Classifications MeSH