期刊
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 412, 期 8, 页码 1807-1816出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-020-02426-w
关键词
Anemone flaccida; DNA barcoding; UPLC-QTOF-MS; MS; Profile; Quality evaluation
资金
- Wuhan Yellow Crane Talent Program Talent Project
- Central Government Guides Local Science and Technology Development Fund in Hubei Province [2019ZYYD063]
Herbal materials have both medicinal and commercial values. As such, accurate species and content identification and verification are necessary to ensure the safe and effective use for medical and commodity purposes. Herein, we introduce a two-step approach for systematic identification and quality evaluation of wild and introduced Anemone flaccida Fr. Schmidt (aka Di Wu) using DNA barcode and ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS). To begin, a precise and rapid identification method based on internal transcribed spacer 2 (ITS2) sequence was developed to ensure the authenticity of 'Di Wu' species. Next, the major active components were fully characterized utilizing a targeted profile of oleanane-type triterpenoid saponins, which was established via UPLC-QTOF-MS/MS. As a result, 34 oleanane-type triterpenoid saponins were identified or characterized in 'Di Wu.' The qualitative and relative quantitative analysis showed obvious differences between wild and introduced 'Di Wu.' Furthermore, dynamic changes in the contents of triterpenoid saponins throughout various harvesting periods were clearly explained and mid-April was identified as the appropriate harvest time. Moreover, results indicate that the contents of five main saponins (anhuienoside E, glycosideSt-I4a, hemsgiganoside B, flaccidoside II, and hederasaponin B) are more appropriate as a quality evaluation indicator than the current quality standard. The two-step approach provides a suitable strategy to evaluate the genuine quality of wild and introduced 'Di Wu,' and can be applied to the targeted analysis of other triterpenoid saponin analogues for quality evaluation. Graphical .
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