Abstract:In this study, poinsettias and Russian red beet roots were used as the raw materials, and the flavonoids in the two kinds of red beet roots were detected and the composition and differences of their metabolites were analyzed using the UPLC-MS/MS detection platform and the self-built Metware database. Multivariate statistical analysis was used to screen the differential metabolites based on the data of the detected flavonoid metabolites. Then, the KEGG website was used to analyze the synthetic pathways involved in differential metabolites. The results showed that a total of 69 flavonoid metabolites were detected in two kinds of beet roots, which were divided into six types: flavonoids, flavonols, chalcones, dihydroflavones, auronoids and other flavonoids. There were 29 kinds of differential metabolites, with 12 kinds of differential metabolites having higher contents in poinsettia than in Russian red, and 17 kinds having lower contents in poinsettia than in Russian red. According to the metabolite, log2FC, the components with relatively large differences were mainly pentahydroxy chalcones, isorhamnetin, dimethoxy-flavone, anthrone, polymethoxy-flavone, quercetin, kaempferol, geranyl, and hyperplantin derivatives. There were seven metabolites annotated to the KEGG pathway: 3-O-methylquercetin, luteolin, 3'-o-methylluteolin, rutin, isoquercetin, isovitexin, and trilobin. These results indicated that there were significantly different flavonoid metabolites in two kinds of beet substances, which could be used as characteristic metabolites for further analysis.
