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Updated: Dec 29, 2025

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
Published on: November 5, 2020
A two-step approach for systematic identification and quality evaluation of wild and introduced Anemone flaccida Fr.
1College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Abstract:
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 Abstract .
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