彝族药姜味草指纹图谱的建立和化学模式识别分析及含量测定  

Fingerprint Establishment,Chemistry Pattern Recognition Analysis and Content Determination of Multi-component of Yi Medicine Micromeria biflora(Buch.-Ham.ex D.Don)Benth

作　　者：王梦[1,2,3] 田伟 王鑫国[1,2,3] 甄亚钦 支雅婧[1] 牛丽颖 WANG Meng;TIAN Wei;WANG Xin-guo;ZHEN Ya-qin;ZHI Ya-jing;NIU Li-ying(He-bei University of Chinese Medicine,Shijiazhuang 050020,China;Hebei TCM Formula Granule Innovation Center,Shijiazhuang 050091,China;Hebei TCM Quality Evaluation and Standardization Engineering Research Center,Shijiazhuang 050091,China)

机构地区：[1]河北中医学院,石家庄050200 [2]河北省中药配方颗粒技术创新中心,石家庄050091 [3]河北省中药材品质评价与标准化工程研究中心,石家庄050091

出　　处：《中国药学杂志》2022年第5期342-349,共8页Chinese Pharmaceutical Journal

基　　金：中央引导地方科技发展资金项目资助(206Z2501G);河北省重点研发计划项目资助(20372502D);河北省自然科学基金项目资助(H2019423050);河北省中医药管理局项目资助(2022363)。

摘　　要：目的 建立彝族药姜味草的高效液相色谱法(HPLC)指纹图谱分析方法,结合化学模式识别,对其质量进行分析,并测定其中4种成分的含量。方法 采用Agilent-C_(18)色谱柱(4.6 mm×250 mm, 4μm),以乙腈-0.2%磷酸水为流动相,梯度洗脱,以迷迭香酸为参照,建立15批不同来源样品的HPLC特征图谱,结合相似度评价、聚类分析(HCA)、主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)等方法,进行药材质量评价,并测定4种成分的含量。结果 建立了15批彝族药姜味草HPLC指纹图谱,标定20个共有峰,经与对照品比对指认出4个,其相似度都在0.960以上。通过HCA分析可将样品分为2类,结合PCA和OPLS-DA方法,发现其中5个影响质量的差异性组分。对15批样品中的咖啡酸、野黄芩苷、迷迭香酸和蒙花苷含量进行测定,显示4种成分在不同批次样品中的含量存在差异,且迷迭香酸和蒙花苷对区别不同来源样品贡献较大,与化学计量学方法分析结果一致。结论 本研究所建立的HPLC指纹图谱方法简便、科学、稳定性好,为不同产地姜味草质量评价和定量分析提供了依据。OBJECTIVE To establish the HPLC fingerprint of Yi Medicine Micromeria biflora(Buch.-Ham. ex D. Don) Benth, analyze its quality with chemical pattern recognition technology, and determine the contents of four components. METHODS The chromatographic analysis was conducted on Agilent-C_(18) column(4.6 mm×250 mm, 4 μm). The mobile phase was acetonitrile-0.2% phosphoric acid eluted in gradient mode. Using rosmarinic acid as reference substance, the HPLC fingerprints of 15 batches of Yi Medicine Micromeria biflora(Buch.-Ham. ex D. Don) Benth from different sources were drawn. Then, further quality assessment of the drug was carried out by similarity evaluation, cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares discriminant analysis(OPLS-DA). Meanwhile, the contents of four components were determined. RESULTS The fingerprints of 15 batches of Yi Medicine Micromeria biflora(Buch.-Ham. ex D. Don) Benth were established. There were 20 common peaks in the fingerprints and four common peaks were identified by reference substances. The fingerprint similarity of the samples was greater than 0.960. The samples were classified into two groups by hierarchical cluster analysis combined with principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), and five components were the main markers that cause differences in the different batches of samples.The contents of trans-caffeic acid, scutellarin, rosmarinic acid and linarin in 15 batches of samples were determined. The results showed that the contents of four components in different batches of samples were different, in addition, rosmarinic acid and linarin contributed significantly to the difference of samples from different sources, which was consistent with the analysis results of chemometrics. CONCLUSION The HPLC fingerprint established in this paper is simple, scientific and stable, which can provide a basis for the quality evaluation and quantitative analysis of Yi Medicine Micromeria bi

关 键 词：姜味草 高效液相色谱法 指纹图谱 主成分分析 聚类分析 正交偏最小二乘法判别分析 含量测定 

分 类 号：R284[医药卫生—中药学]