Objective: Based on the combination of HPLC fingerprint and chemical pattern recognition,to compare the fingerprint of three species of akebiaquinata,and to provide the basis for its further development and utilization and rational use. Methods: 27 batches of Akebia quinata(Thunb.)Decne,Akebia trifoLiata(Thunb.) Koidz and Akebia trifoLiata(Thunb.)Koidz. Van Australis(Diels)Rehd. The HPLC fingerprints of 27 batches of akebiaquinata were established and the similarity evaluation was conducted by using the software of“ Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System”(2012 version). The principal component analysis(PCA) and partial least square discrimination analysis(PLS-DA) were performed by SPSS 23.0 and SIMCA 14.1 software. Results: 7 common peaks and 23 characteristic peaks were identified by establishing the fingerprint for three different akebiaquinata. The similarities of 27 batches of samples ranged from 0.837 to 0.995. According to PCA and PLS-DA,the samples were obviously clustered into 3 groups according to their origin,and 3 components were identified as the distinguishing markers. Conclusion: The established method can effectively distinguish the three kinds of akebiaquinata from different sources,and provides a reference for quality control, quality evaluation and identification of akebiaquinata.
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Chp 2020.Vol Ⅰ[S]. 2020:65
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