Koistinen Ville Mikael, da Silva Andreia Bento, Abrankó László, Low Dorrain, Villalba Rocio Garcia, Barberán Francisco Tomás, Landberg Rikard, Savolainen Otto, Alvarez-Acero Inmaculada, de Pascual-Teresa Sonia, Van Poucke Christof, Almeida Conceição, Petrásková Lucie, Valentová Kateřina, Durand Stephanie, Wiczkowski Wiesław, Szawara-Nowak Dorota, González-Domínguez Raúl, Llorach Rafael, Andrés-Lacueva Cristina, Aura Anna-Marja, Seppänen-Laakso Tuulikki, Hanhineva Kati, Manach Claudine, Bronze Maria Rosário
Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211 Kuopio, Finland.
Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa (ITQB NOVA), Av. da República, 2780-157 Oeiras, Portugal.
Metabolites. 2018 Aug 24;8(3):46. doi: 10.3390/metabo8030046.
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 ( = 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.
植物性食物中存在的生物活性化合物及其源自肠道微生物群和内源性代谢的代谢产物,代表了数千种对人类营养和健康具有潜在意义的化学结构。对于在包括植物性食品原料和生物流体在内的复杂基质中分析这些化合物而言,需要采用包括基于高分辨率质谱的非靶向代谢组学在内的先进分析方法。本项目的目的是比较在欧洲各平台独立开发和应用的非靶向代谢组学方法的分析覆盖范围。总共挑选了56种代表广泛化学空间中最常见生物活性化合物类别的化学标准品,并由参与的平台(n = 13)使用其首选的非靶向方法进行分析。这些结果用于确定成功分析植物性食品生物活性成分的分析标准。此外,它们将作为优化的共识方法的基础。