4.3 Article

Significant sensitivity improvements by matrix optimization: a MALDI-TOF mass spectrometric study of lipids from hen egg yolk

Journal

CHEMISTRY AND PHYSICS OF LIPIDS
Volume 163, Issue 6, Pages 552-560

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.chemphyslip.2010.04.005

Keywords

Detection limit; Di-FCCA; MALDI-TOF MS; Matrices; Phosphatidylethanolamine; Phosphatidylcholine; Triacylglycerol

Funding

  1. Leipzig Interdisciplinary Research Cluster of Genetic Factors, Clinical Phenotypes and Environment (LIFE Center, University of Leipzig)
  2. European Union
  3. European Regional Development Fund (ERFD)
  4. Free State of Saxony
  5. German Research Council (DFG) [Transregio 67/A2, FU 771/1-1]
  6. LTH bank for infrastructure

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Due to its sensitivity, the tolerance of impurities and the simplicity of performance, matrix-assisted laser desorption and ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) is increasingly used to analyze lipids from biological sources. Although its detailed role is not understood so far, the applied matrix has a pronounced effect on the achievable spectrum quality and particularly how sensitive the individual lipid classes are detectable. Different matrix compounds were recently established in the lipid field including 2,5-dihydroxybenzoic acid (DHB), 9-aminoacridine (9-AA), para-nitroaniline (PNA), 2-mercaptobenzothiazole (MBT), and 2-(2-aminoethylamino)-5-nitropyridine (AAN). It is the aim of this paper to compare the properties of these matrices with the newly synthesized matrix, alpha-cyano-2,4-difluorocinnamic acid (Di-FCCA). An organic extract from hen egg yolk was used as a simple and easily available test system. It will be shown that Di-FCCA is the matrix of choice to detect lipids in the positive-ion mode due to an achievable sensitivity gain of more than one order of magnitude compared to alternative matrices. In contrast, Di-FCCA is not suitable for negative-ion detection of phospholipids. Here, 9-AA is unequivocally the matrix of choice. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

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