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MALDI Mass Spectrometry Imaging sample preparation with wet-interface matrix deposition for lipid analysis.
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  • Przemyslaw Mielczarek,
  • Piotr Suder,
  • Paulina Kret,
  • Tymoteusz Słowik,
  • Ewa Ewa Gibuła-Tarłowska,
  • Jolanta Kotlinska,
  • Igor Kotsan,
  • Anna Bodzoń-Kułakowska
Przemyslaw Mielczarek
Maj Institute of Pharmacology Polish Academy of Sciences
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Piotr Suder
AGH University of Science and Technology
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Paulina Kret
AGH University of Science and Technology
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Tymoteusz Słowik
Medical University of Lublin
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Ewa Ewa Gibuła-Tarłowska
Medical University of Lublin
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Jolanta Kotlinska
Medical University
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Igor Kotsan
AGH University of Science and Technology
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Anna Bodzoń-Kułakowska
AGH University of Science and Technology

Corresponding Author:[email protected]

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Abstract

RATIONALE: Sample preparation is one of the most crucial steps for MALDI mass spectrometry imaging (MALDI-MSI). The scientists beginning their adventure with this technique may be overwhelmed by the variety of matrices, solvents, concentrations, the ways of their applications, and the lack of widely available knowledge about the influence of these parameters on the results. Here we would like to present our experiences with detailed aspects of matrices deposition, hopefully helpful for the scientific community. METHODS: In our article, we have tested several MALDI matrices applied by the SunCollect® system: wet-interface matrix deposition in the context of lipids analysis. Among them: 2,5-dihydroxybenzoic acid (DHB), norharmane, N-(1-naphthyl) ethylenediamine dihydrochloride (NEDC), 9-aminoacridine (9AA). We have optimized the number of matrix layers and nozzle settings in terms of spectra intensity and the overall quality of obtained ion maps. RESULTS: Our research presents the influence of the number of matrix layers and nozzle settings on the results and allows for choosing the optimal parameters for the analyses. In positive ionization mode, DHB matrix could be chosen as the first selection. In the negative ionization mode, DAN matrix produces higher peak intensity in a lower mass range and seems to provide more information than 9AA. We recommended NEDC for particular tasks such as glucose analysis. Comparably to remaining matrices, norharmane significantly changes received ion maps. CONCLUSIONS: Dealing with such a great amount of data allows us to notice an interesting conclusion: the obtained ion picture for a particular ion could differ dramatically with changing the matrix, the solvent composition, or even the number of matrix layers. This must be considered when interpreting the result and forces us to compare the results obtained with different matrices with extreme caution.
10 Mar 2023Submitted to Rapid Communications in Mass Spectrometry
11 Mar 2023Submission Checks Completed
11 Mar 2023Assigned to Editor
11 Mar 2023Review(s) Completed, Editorial Evaluation Pending
11 Mar 2023Reviewer(s) Assigned
01 Apr 2023Editorial Decision: Revise Minor
24 Apr 20231st Revision Received
25 Apr 2023Submission Checks Completed
25 Apr 2023Assigned to Editor
25 Apr 2023Review(s) Completed, Editorial Evaluation Pending
25 Apr 2023Editorial Decision: Revise Minor
27 Apr 20232nd Revision Received
27 Apr 2023Assigned to Editor
27 Apr 2023Submission Checks Completed
27 Apr 2023Review(s) Completed, Editorial Evaluation Pending
27 Apr 2023Editorial Decision: Accept