不同基原羌活标准汤剂的指纹图谱建立及其化学计量学分析

Fingerprint establishment of Notopterygii Rhizoma et Radix standard decoction from different origins and their chemometrics analysis

关键词:  羌活  宽叶羌活  标准汤剂  指纹图谱  化学计量学  UHPLC  聚类分析  主成分分析  正交偏最小二乘-判别分析  紫花前胡苷  6′-O-(反式阿魏酰基)-紫花前胡苷  阿魏酸  异绿原酸B  绿原酸

Key words:  Notopterygium inchum ting ex H. T. Chang  notopterygium franchetii H. de Boiss.  standard decoction  fingerprint  chemometrics  UHPLC  cluster analysis  principal component analysis  orthogonal partial least squares-discriminant analysis  nodakenin  6′-feruloylnodakenin  ferulic acid  isochlorogenic acid B  chlorogenic acid

摘要:

目的 建立不同基原羌活Notopterygii Rhizoma et Radix标准汤剂UHPLC指纹图谱分析方法，为其质量评价提供依据。方法 通过UHPLC法构建26批羌活Notopterygium incisum标准汤剂和宽叶羌活Notopterygium franchetii标准汤剂的指纹图谱，采用中药色谱指纹图谱相似度评价系统（2012A版）对指纹图谱进行相似度评价，并采用SPSS 20.0、SIMCA-P软件进行聚类分析（cluster analysis，CA）、主成分分析（principal component analysis，PCA）及正交偏最小二乘-判别分析（orthogonal partial least squares-discriminant analysis，OPLS-DA）。结果 选取了14个共有峰，指认其中11个成分；羌活、宽叶羌活标准汤剂的相似度分别为0.939～0.988、0.943～0.989；CA、PCA及OPLS-DA均能将26批样品分为2类，并筛选出紫花前胡苷、6′-O-(反式阿魏酰基)-紫花前胡苷、阿魏酸、异绿原酸B、绿原酸5个对组分差异影响较大的成分，能够反映26批次不同基原羌活标准汤剂特征性质量差异。结论 建立的方法可快速区分和评价不同基原羌活标准汤剂和鉴别其相关伪品，为羌活相关中药制剂质量控制提供参考。

Abstract:

OBJECTVE To establish a UHPLC fingerprint analysis method for different origins of standard decoction of Qianghuo (Notopterygii Rhizoma et Radix, NRR), so as to provide a theoretical basis for its quality evaluation. METHODS The fingerprints of 26 batches of Qianghuo (Notopterygium incisum Ting ex H. T. Chang, NI) and Kuanye Qianghuo (Notopterygium franchetii H. de Boiss., NF) standard decoction samples were established by UHPLC, and the similarity evaluation of UHPLC fingerprints of standard decoction of NRR was carried out using the traditional Chinese medicine chromatographic fingerprint similarity evaluation system (2012A version). SIMCA-P and SPSS 20.0 software were used for cluster analysis (CA), principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). RESULTS Fourteen chromatographic peaks were selected as common peaks, and 11 components were identified. The similarity of standard decoction samples of NI and NF were 0.939—0.988 and 0.943—0.989, respectively. The CA, PCA and OPLS-DA showed that 26 batches of NRR standard decoction samples were clustered into 2 types and 5 components with large differences in composition were screened out including nodakenin, 6′-O-trans-feruloylnodakenin, ferulic acid, isochlorogenic acid B and chlorogenic acid. CONCLUSION The established methods can quickly identify and evaluate the origins of standard decoction of NRR and counterfeits, it provided reference for the quality control of Chinese medicinal preparation related to NRR