|LIN, LONG-ZE - University Of Maryland|
|ZHANG, REN-WEI - Kunming Longjin Pharmaceutical Co, Ltd|
|FAN, XIAO-E - Kunming Longjin Pharmaceutical Co, Ltd|
|LI, LAI-WEI - Kunming Longjin Pharmaceutical Co, Ltd|
|Harnly, James - Jim|
Submitted to: Journal of Agricultural and Food Chemistry
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/3/2014
Publication Date: 6/3/2014
Citation: Lin, L., Sun, J., Chen, P., Zhang, R., Fan, X., Li, L., Harnly, J.M. 2014. UHPLC-DAD-ESI/HRMSn method to identify the glucosinolates and flavonoids of Rorippa montana (Wall) Small.. Journal of Agricultural and Food Chemistry. 62:6118-6129.
Interpretive Summary: Identification and quantification of dietary polyphenols and glucosinolates in an herb is necessary in order to understand its biological activity and to use it more effectively. In this study, 33 glucosinolates, 40 flavonoids, and 19 other compounds were detected, identified, and the main components were quantified. Many of these compounds are reported for the first time in this plant, and 24 of the glucosinolates have never been reported before in any plant. The results will assist in characterizing the health promoting properties of the herb.
Technical Abstract: An UHPLC-DAD-ESI/HRMSn profiling method was used to identify the glucosinolates and flavonoids of Rorippa montana (Cruciferae), a Chinese herb used to treat cough, diarrhea and rheumatoid arthritis. Thirty three glucosinolates, over 40 flavonol glycosides, and more than 20 other phenolic and common organic compounds were identified. The glucosinolates and polyphenols were separated by ultra high performance liquid chromatography (UHPLC). The fragments from multi-stage mass spectrometry (MSn) were used to elucidate the structures. High resolution (HR) molecular ions provided formulas that were used for putative identification of the glucosinolates and other compounds. The concentrations of the main components were based UV peak areas and molar relative response factors (MRRFs) with a single calibration standard. This is study found 42 glucosinolates, putatively identified 33 of them, identified 24 for the first time in any plant material, and found 14 of them to be glycosylated. The results show this method is suitable for on-line identification of the glucosinolates in plants.