目的: 建立不同产地文王一支笔药材的HPLC指纹图谱,并结合化学模式识别技术对其进行质量评价。方法: 采用Shim-pack GIS C18色谱柱(250 mm×4.6 mm,5 μm),乙腈-0.2%乙酸水溶液为流动相,梯度洗脱,流速1.0 mL·min-1,检测波长320 nm,对各产地文王一支笔进行HPLC分析。采用中药指纹图谱相似度评价系统建立指纹图谱共有模式和相似度计算,SPSS20.0和SIMCA-P14.1软件建立聚类分析、主成分分析和正交偏最小二乘法-判别分析模型对其主成分进行统计分析。结果: 文王一支笔指纹图谱含20个共有峰,经相似度评价,11批次的文王一支笔药材与共有模式比较相似度均达到0.90以上,整体相似度较好。经主成分分析,前5个主成分的累积方差贡献率为88.509%,11批样品的综合得分在-1.52~1.46之间,显示各批药材质量差异相对较小,其中,产自巴东县十二岭的样品综合得分最高,质量最好。结论: 不同产地文王一支笔药材具有较高的相似度,能反映不同产地药材的质量差异,结合化学模式识别技术,可为其质量评价提供参考。
Objective: To establish the HPLC fingerprint of Balanophora involucrata from different habitats, and evaluate the quality through chemical pattern recognition. Methods: Samples were separated by Shim-pack GIS C18 column(250 mm×4.6 mm, 5 μm) with acetonitrile -0.2% acetic acid solution as gradient mobile phase at a flow rate of 1.0 mL·min-1. The detection wavelength was set at 320 nm. The HPLC fingerprint and similarity calculation were performedby traditional Chinese medicine chromatographic fingerprint similarity evaluation system. The cluster analysis, principal component analysis, and orthogonal partial least square discriminate analysis models were established by SPSS20.0 and SIMCA-P14.1 software. Results: A total of 20 common peaks were identified and the similarities of 11 batches of Balanophora involucrata from different habitats were good with the level above 0.90. Five principal components with the characteristic root cumulative contribution rate reaching 88.509% were screened out by PCA results. The comprehensive scores of the 11 batches of samples were between -1.52 and -1.46, indicating that the difference in the quality of each batch of medicinal materials was relatively small. The quality of Balanophora involucrata from twelve ridgesin Badong County was the best with a highest comprehensive score. Conclusion: The HPLC fingerprintcan be used as the identification basis for Balanophora involucrata, and can effectively evaluate the quality difference of Balanophora involucrata from different habitats.
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