Abstract
Edible flowers, as a food ingredient, are rich in bioactive substance and have received a lot of attention. In this study, we have established a pseudo-targeting method based on Multi Reaction Monitoring (MRM) - Enhanced Product Ions (EPI) in the Information Dependent Acquisition (IDA) mode. The results showed that a total of 43 metabolites, including flavonoids, phenolic acids, and terpenes were detected in 27 edible flowers using integrated liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategy. Rutin was measured in all edible flowers, but the levels varied significantly among the different varieties of flowers, with the highest being about 3500 times the lowest. Albiflorin and paeoniflorin are polyphenolic substance unique to Paeonia suffruticosa. The cyanidin 3-O-glucoside chloride content in reddish-purple flowers is higher than that of other colors. Dicoumarin and 4-hydroxycoumarin were discovered in edible flowers for the first time. This study established a pseudo-targeted detection method to reveal the distribution of polyphenolic metabolites and enriched the research on polyphenolic metabolites in edible flowers. It can also serve as a general strategy to detect metabolites in other agricultural products, providing valuable information about potential metabolites for consumers.
Published Version
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