Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/80669
Título
MALDI mass spectrometry and imaging for lipid analysis in food matrices: A review of analytical principles and perspectives
Autor
Año del Documento
2025
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Analytica Chimica Acta, 2025, p. 344934
Zusammenfassung
Background: Lipids play essential roles in food systems, and their study through lipidomics offers insights into
biochemical processes and issues such as food fraud and adulteration. Among lipid classes, glycerolipids (GLs),
particularly triacylglycerols (TAGs), are the most frequently analysed in food-related studies.
Results: Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and MALDI mass spec-
trometry imaging (MSI) have emerged as powerful tools for lipidomic investigations. While traditionally applied
in biological research, their use in food science is expanding to diverse matrices, including oils, dairy, cereals,
algae, and meat. In terms of MALDI matrices, 2,5-dihydroxybenzoic acid (DHB) is most commonly used in
positive ion mode, whereas 9-aminoacridine (9-AA) is typically employed in negative mode. MALDI-MS has
advanced lipid characterization, and MALDI-MSI now enables mapping of lipid spatial distributions, revealing
processes such as lipid degradation.
Significance: This review underscores the growing utility of MALDI-MS and MALDI-MSI for lipid analysis in food
science. We highlight their analytical capabilities, workflows, and limitations, it demonstrates how these tech-
niques can enhance understanding of food composition, quality, and authenticity.
Materias Unesco
2301 Química Analítica
Palabras Clave
Lipids
Food
Mass spectrometry
MALDI imaging
MALDI-MSI
MALDI-TOF MS
ISSN
0003-2670
Revisión por pares
SI
Patrocinador
This study is part of the action “PID2022-141679OR-C33”, funded by MICIU/AEI750 /10.13039/501100011033 and by FEDER, EU
Version del Editor
Propietario de los Derechos
© 2025 The Author(s)
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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Dateien zu dieser Ressource
Tamaño:
3.575Mb
Formato:
Adobe PDF
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