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

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-C18色谱柱(4.6 mm×250 mm,4 μm),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...

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

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-C₁₈ 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 biflora (Buch.-Ham. ex D. Don) Benth in different producing areas.