MS/MS similarity networking accelerated target profiling of triterpene saponins in Eleutherococcus senticosus leaves
| Autor: | Kayo Yoshimatsu, Yue-Wei Ge, Shu Zhu, Katsuko Komatsu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
chemistry.chemical_classification Chromatography Chemistry Plant Extracts Eleutherococcus senticosus 010401 analytical chemistry Eleutherococcus General Medicine Saponins 01 natural sciences Triterpenes 0104 chemical sciences Analytical Chemistry Plant Leaves 03 medical and health sciences 030104 developmental biology Triterpene Tandem Mass Spectrometry Food Science |
| Zdroj: | Food chemistry. 227 |
| ISSN: | 1873-7072 |
| Popis: | The targeted mass information of compounds accelerated their discovery in a large volume of untargeted MS data. An MS/MS similarity networking is advanced in clustering the structural analogues, which benefits the collection of mass information of similar compounds. The triterpene saponins extracted from Eleutherococcus senticosus leaves (ESL), a kind of functional tea, have shown promise in the relief of Alzheimer's disease. In this work, a target-precursor list (TPL) generated using MS/MS similarity networking was employed to rapidly trace 106 triterpene saponins from the aqueous extracts of ESL, of which 49 were tentatively identified as potentially new triterpene saponins. Moreover, a compound database of triterpene saponins was established and successfully applied to uncover their distribution features in ESL samples collected from different areas. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect