Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/168071
Title: Interlaboratory Coverage Test on Plant Food Bioactive Compounds and their Metabolites by Mass Spectrometry-Based Untargeted Metabolomics.
Author: Koistinen, Ville Mikael
Bento da Silva, Andreia
Abrankó, László
Low, Dorrain Yanwen
Garcia Villalba, Rocio
Tomas-Barberan, F. A. (Francisco A.)
Landberg, Rikard
Savolainen, Otto
Alvarez-Acero, Inmaculada
Pascual-Teresa, Sonia de
Van Poucke, Christof
Almeida, Conceição
Petrásková, Lucie
Valentová, Kateřina
Durand, Stephanie
Wiczkowski, Wiesław
Szawara-Nowak, Dorota
González-Domínguez, Raúl
Llorach, Rafael
Andrés Lacueva, Ma. Cristina
Aura, Anna-Marja
Seppänen-Laakso, Tuulikki
Hanhineva, Kati
Manach, Claudine
Bronze, Maria Rosario
Keywords: Espectrometria de masses
Fitoquímica
Metabolòmica
Plantes comestibles
Compostos bioactius vegetals
Dieta
Mass spectrometry
Botanical chemistry
Metabolomics
Edible plants
Plant bioactive compounds
Diet
Issue Date: 24-Aug-2018
Publisher: MDPI
Abstract: Bioactive compounds present in plant-based foods, and their metabolites derived from gut microbiota and endogenous metabolism, represent thousands of chemical structures of potential interest for human nutrition and health. State-of-the-art analytical methodologies, including untargeted metabolomics based on high-resolution mass spectrometry, are required for the profiling of these compounds in complex matrices, including plant food materials and biofluids. The aim of this project was to compare the analytical coverage of untargeted metabolomics methods independently developed and employed in various European platforms. In total, 56 chemical standards representing the most common classes of bioactive compounds spread over a wide chemical space were selected and analyzed by the participating platforms (n = 13) using their preferred untargeted method. The results were used to define analytical criteria for a successful analysis of plant food bioactives. Furthermore, they will serve as a basis for an optimized consensus method.
Note: Reproducció del document publicat a: https://doi.org/10.3390/metabo8030046
It is part of: Metabolites, 2018, vol. 8, num. 3, p. 46
URI: http://hdl.handle.net/2445/168071
Related resource: https://doi.org/10.3390/metabo8030046
ISSN: 2218-1989
Appears in Collections:Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

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