基于化学计量学和指纹图谱的辽宁道地药材北五味子质量评价研究

Study on Quality Evaluation of Geo-authentic Traditional Chinese Drug in Liaoning Beiwuweizi(Schisandrae Chinensis Fructus)Based on Chemometrics and Fingerprint

目的 采用指纹图谱与化学计量学相结合的方法,评价辽宁岫岩产北五味子的质量。方法 采用HPLC法,柱温30℃,流速1 mL/min,流动相采用水-乙腈梯度洗脱,检测波长220 nm,对10批辽宁岫岩五味子基地生产的北五味子建立指纹图谱,运用聚类分析(hierarchical cluster analysis, HCA)、主成分分析(principal component analysis, PCA)及正交偏最小二乘法-判别分析(orthogonal partial least squares-discriminant analysis, OPLS-DA)进行化学模式识别分析。结果 建立了岫岩产北五味子的指纹图谱,相似度为0.970^0.999,共标定了29个共有峰,指认了14个成分;HCA分析10批北五味子可分为2类;PCA共得到6个主要成分,其累计方差贡献率为95.5%;OPLS-DA表明五味子甲素、戈米辛G、五味子丙素、五味子醇乙等11个成分可能是影响北五味子质量的差异性标志物。结论 研究所建立的指纹图谱结合化学模式识别分析,方法准确、稳定、可靠,可用于北五味子药材的质量控制研究。

Objective To evaluate the quality of Beiwuweizi(Schisandrae Chinensis Fructus)from Xiuyan in Liaoning by com-bination of fingerprint and chemometrics.Methods The HPLC was carried out with the column temperature of 30℃and the flow rate was 1 mL/min.The mobile phase was water and acetonitrile by gradient elution.The detective wavelength was 220 nm.The fingerprints of 10 batches of Beiwuweizi(Schisandrae Chinensis Fructus)produced from Xiuyan in Liaoning Province were drawn.Hierarchical cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares discriminant analy-sis(OPLS-DA)were used.Results The fingerprints of 10 batches of Beiwuweizi(Schisandrae Chinensis Fructus)were estab-lished with the similarity values of 0.970^0.999.29 common peaks were identified,of which 14 components were identified.According to HCA analysis,10 batches of Beiwuweizi(Schisandrae Chinensis Fructus)could be divided into two types.The cu-mulative variance contribution rate of the 6 principal components obtained by PCA was 95.5%.OPLS-DA found that the com-ponents corresponding to the 11 peaks including schisandrin A,gomicin G,schisandrin C and and schisandrin B may be the quali-ty related markers of Beiwuweizi(Schisandrae Chinensis Fructus).Conclusion The fingerprint method of Beiwuweizi(Schisandrae Chinensis Fructus)was accurate,stable and reliable.It can be used for identification and quality control of Beiwuweizi(Schisan-drae Chinensis Fructus)combined with chemical pattern recognition.