In this paper, the feasibility and advantages of employing high performance liquid chromatographic-photodiode array detection (HPLC-DAD) fingerprint combined with chemical pattern recognition for quality consistency e...In this paper, the feasibility and advantages of employing high performance liquid chromatographic-photodiode array detection (HPLC-DAD) fingerprint combined with chemical pattern recognition for quality consistency evaluation of widely used Rhizoma rodgersiae (RR) were investigated and demonstrated for the first time. The Similarity Evaluation System was employed to evaluate the similarities of 10 batches of RR sample;moreover, hierarchical clustering analysis (HCA) and principal component analysis (PCA) were also successfully applied to discriminate RR samples of different regions and seasons. Our results indicated that the seasonal variation had some influence on the chemical fingerprints of this herbal drug. This approach allowed the discrimination of RR samples from different sources. The current study demonstrated that fingerprint profiling coupled with chemical pattern recognition offered a reliable and efficient way to comprehensively assess the quality consistency of the tested samples.展开更多
文摘In this paper, the feasibility and advantages of employing high performance liquid chromatographic-photodiode array detection (HPLC-DAD) fingerprint combined with chemical pattern recognition for quality consistency evaluation of widely used Rhizoma rodgersiae (RR) were investigated and demonstrated for the first time. The Similarity Evaluation System was employed to evaluate the similarities of 10 batches of RR sample;moreover, hierarchical clustering analysis (HCA) and principal component analysis (PCA) were also successfully applied to discriminate RR samples of different regions and seasons. Our results indicated that the seasonal variation had some influence on the chemical fingerprints of this herbal drug. This approach allowed the discrimination of RR samples from different sources. The current study demonstrated that fingerprint profiling coupled with chemical pattern recognition offered a reliable and efficient way to comprehensively assess the quality consistency of the tested samples.
文摘目的建立不同产地批次大青叶Isatidis Folium的HPLC指纹图谱及指标成分含量测定方法,结合化学模式识别法评价不同产地大青叶质量。方法建立大青叶HPLC指纹图谱,应用中药色谱指纹图谱相似度评价系统(2012.130723版本)、IBM SPSS Statistics 27.0、SIMCA14.1软件,结合聚类分析(hierarchical cluster analysis,HCA)、主成分分析(principal component analysis,PCA)、正交偏最小二乘法-判别分析(orthogonal partial least squares discrimination analysis,OPLS-DA)对不同产地大青叶质量进行评价,根据变量重要性投影(variable importance for projection,VIP)值,对差异性成分异牡荆素、靛玉红进行定量分析,基于含量测定结果建立熵权逼近理想排序法(technique for order preference by similarity to ideal solution,TOPSIS)-灰色关联度(grey relation analysis,GRA)融合模型进一步分析评价。结果建立的大青叶HPLC指纹图谱中,识别共有峰19个,指认峰6个,分别为峰4(丁香酸)、峰9(阿魏酸)、峰12(异牡荆素)、峰16(色胺酮)、峰18(靛蓝)、峰19(靛玉红)。指纹图谱相似度在0.871~0.989;HCA将15批大青叶分为2类;PCA共提取4个成分,累积方差贡献率为91.745%;OPLS-DA筛选出异牡荆素、靛玉红等6个差异性成分。大青叶中异牡荆素、靛玉红的质量分数在0.781~4.385 mg/g、0.134~0.921 mg/g,熵权TOPSIS-GRA融合模型结果显示15批不同产地大青叶样品含量存在差异,编号为S1、S2、S3的样品质量较优。结论建立的HPLC指纹图谱和含量测定结果可为大青叶的质量控制和整体性评价提供参考。
