| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2539434 | Fitoterapia | 2009 | 6 Pages |
An optimized HPLC-DAD method aided by similarity and hierarchical clustering analysis (HCA) was applied for identification of four species of the roots of Aconitum. The unique properties of this HPLC fingerprints and HCA were validated by analyzing Aconitum kusnezoffii Rchb. (AKR) samples and related herbs including A. karacolicum Rapcs. (AKP) samples, A. austroyunnanense W.T.Wang (AAW) samples and A. contortum Finet & Gagnepain (ACF). The results revealed that the chromatographic fingerprint combining similarity measurement and hierarchical cluster analysis could efficiently identify and distinguish AKR samples from its related species.
Graphical abstractThe chromatographic fingerprint combining similarity measure and hierarchical clustering analysis were developed using HPLC-DAD for the authentication and identification of Aconitum kusnezoffii Rchb. and its related three species herbs.Figure optionsDownload full-size imageDownload as PowerPoint slide
