基于UPLC指纹图谱和多成分定量评价不同产地升麻药材质量  

Quality evaluation of Cimicifuga Rhizoma from different producing areas based on fingerprint and multi-components determination

作　　者：周湘媛 陈万发 丁青 马懿飞 曹斯琼 霍文杰 魏梅 秦升 李振雨 ZHOU Xiang-yuan;CHEN Wan-fa;DING Qing;MA Yi-fei;CAO Si-qiong;HUO Wen-jie;WEI Mei;QIN Sheng;LI Zhen-yu(Guangdong E-fong Pharmaceutical Co.Ltd,Foshan 528244,China;Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Formula,Foshan 528244,China;China Traditional Chinese Medicine Holdings Co.Ltd.,Foshan 528303,China)

机构地区：[1]广东一方制药有限公司,广东佛山528244 [2]广东省中药配方颗粒企业重点实验室,广东佛山528244 [3]中国中药控股有限公司,广东佛山528303

出　　处：《中草药》2022年第17期5497-5503,共7页Chinese Traditional and Herbal Drugs

基　　金：广东省省级科技计划项目(2018B030323004);广东特支计划科技创业领军人才项目(2017TY04R197)。

摘　　要：目的 采用超高效液相色谱法(UPLC)建立升麻药材指纹图谱,并同时测定3种有效成分的含量,评价不同产地升麻药材质量的差异。方法 采用UPLC法进行测定,色谱柱为Agilent SB C18(100 mm×2.1 mm,1.8μm);流动相为乙腈-0.05%磷酸溶液,梯度洗脱,体积流量为0.3 mL/min,波长为320 nm,柱温为35℃,进样量为1μL;建立15批升麻药材指纹图谱,通过对照品比对并结合质谱分析,对共有峰进行鉴定,并对3种成分的含量进行测定;对15批升麻药材指纹图谱进行相似度评价及主成分分析(principal component analysis,PCA),利用正交偏最小二乘法-判别分析(orthogonal partial least squares discriminant analysis,OPLS-DA)寻找不同产地升麻药材的差异性成分。结果 升麻药材指纹图谱有16个共有峰,指认出其中3个峰,分别为咖啡酸、阿魏酸和异阿魏酸;除辽宁产区的3批样品外,其余12批相似度均大于0.95;PCA将15批升麻药材划分为2类,OPLS-DA法确定7个差异标志物,差异显著性排序,分别为峰7>峰11>峰9>峰8>峰10>咖啡酸>峰4。辽宁产区咖啡酸、阿魏酸和异阿魏酸总含量明显高于其它产地。结论 该方法能有效地分析不同产地升麻药材质量的差异性,为不同产地升麻药材质量的评价提供参考。Objective To evaluate the difference of Cimicifuga Rhizoma from different producing areas by establishing UPLC fingerprint and determining contents of three effective components of Cimicifuga Rhizoma. Method UPLC Method was adopted.The determination was performed on a column of Agilent SB C18(100 mm × 2.1 mm,1.9 μm) with acetonitrile-0.05% phosphoric acid solution as the mobile phase by gradient elution at a flow rate of 0.3 mL/min. The detective wavelength was 320 nm, the column temperature was 35 ℃, the injection volume was 1 μL. The UPLC fingerprints of 15 batches of Cimicifuga Rhizoma were established and the common peaks were identificated by reference substances and mass spectrometry. The contents of three components were determined. Similarity evaluation and principal component analysis(PCA) were carried out on the fingerprints and orthogonal partial least squares discriminant analysis(OPLS-DA) was used to find the different components of Cimicifuga Rhizoma from different producing areas. Result There were 16 common peaks in the fingerprints of Cimicifuga Rhizoma by comparing with the reference substances, three common peaks were identified, namely, caffeic acid, ferulic acid and isoferulic acid. Except for three batches of samples from Liaoning Province, the similarity of the other 12 batch was greater than 0.95. According to the analysis of PCA, 15 batches of Cimicifuga Rhizoma were divided into two categories;Seven kinds of biomarkers were determined by OPLS-DA method. The order of significance was peak 7 > peak 11 > peak 9 > peak 8 > peak 10 > caffeic acid > peak 4, respectively. The total contents of caffeic acid, ferulic acid and isoferulic acid.in Liaoning were obviously higher than those in other areas. Conclusion This method can effectively analyze the quality differences of Cimicifuga Rhizoma from different producing areas and provide reference for the quality evaluation.

关 键 词：升麻药材 UPLC指纹图谱 多成分定量 差异标志物 咖啡酸 阿魏酸 异阿魏酸 

分 类 号：R286.2[医药卫生—中药学]