Development of a New Binary Matrix for the Comprehensive Analysis of Lipids and Pigments in Micro- and Macroalgae Using MALDI-ToF/ToF Mass Spectrometry
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Published:2024-05-29
Issue:11
Volume:25
Page:5919
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ISSN:1422-0067
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Container-title:International Journal of Molecular Sciences
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language:en
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Short-container-title:IJMS
Author:
Bianco Mariachiara1ORCID, Ventura Giovanni12ORCID, Coniglio Davide1, Monopoli Antonio1ORCID, Losito Ilario12ORCID, Cataldi Tommaso R. I.12ORCID, Calvano Cosima D.12ORCID
Affiliation:
1. Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy 2. Centro Interdipartimentale di Spettrometria di MAssa per Ricerche Tecnologiche (SMART), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy
Abstract
While edible algae might seem low in fat, the lipids they contain are crucial for good health and preventing chronic diseases. This study introduces a binary matrix to analyze all the polar lipids in both macroalgae (Wakame—Undaria pinnatifida, Dulse—Palmaria palmata, and Nori—Porphyra spp.) and microalgae (Spirulina—Arthrospira platensis, and Chlorella—Chlorella vulgaris) using matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). The key lies in a new dual matrix made by combining equimolar amounts of 1,5-diaminonaphthalene (DAN) and 9-aminoacridine (9AA). This combination solves the limitations of single matrices: 9AA is suitable for sulfur-containing lipids and acidic phospholipids, while DAN excels as an electron-transfer secondary reaction matrix for intact chlorophylls and their derivatives. By employing the equimolar binary matrix, a wider range of algal lipids, including free fatty acids, phospholipids, glycolipids, pigments, and even rare arsenosugarphospholipids were successfully detected, overcoming drawbacks related to ion suppression from readily ionizable lipids. The resulting mass spectra exhibited a good signal-to-noise ratio at a lower laser fluence and minimized background noise. This improvement stems from the binary matrix’s ability to mitigate in-source decay effects, a phenomenon often encountered for certain matrices. Consequently, the data obtained are more reliable, facilitating a faster and more comprehensive exploration of algal lipidomes using high-throughput MALDI-MS/MS analysis.
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