目的 采用化学计量学、加权TOPSIS与灰色关联度融合模型评价不同产地独脚金的质量差异。方法 采用HPLC法测定独脚金中木犀草素、芹菜素、金圣草素、香叶木素、金合欢素、毛蕊花糖苷、异毛蕊花糖苷、桃叶珊瑚苷、β-谷甾醇，同时检测水溶性浸出物、醇溶性浸出物、总灰分和酸不溶性灰分，对结果进行PCA和OPLS-DA分析，挖掘影响产品质量的差异性标志物。建立加权TOPSIS与GRA融合模型，对不同产地独脚金质量进行综合评价。结果 18批独脚金批次间差异较大，PCA结果显示18批独脚金聚为3类，OPLS-DA分析从13个变量中筛选出4个差异性标志物。加权TOPSIS与灰色关联度融合模型显示18批样品的综合相对贴近度在0.293 1～0.665 8，以S14综合相对贴近度最高。结论 所建方法分析用时短，结果准确，可用于独脚金多指标成分定量控制和质量评价。

Objective To evaluate the quality difference of Striga asiatica from different producing areas by chemometrics, weighted TOPSIS, and grey correlation degree fusion model. Methods The contents of luteolin, apigenin, chrysoeriol, diosmetin, acacetin, verbascoside, isoacteoside, aucubin and β-sitosterol in S. asiatica were simultaneously determined by HPLC. At the same time, the water-soluble extract, alcohol-soluble extract, total ash, and acid-insoluble ash were detected. PCA and OPLS-DA were used to analyze the quantitative detection results, and the differential markers affecting product quality were excavated. A weighted TOPSIS and GRA fusion model was established to comprehensively evaluate the quality of S. asiatica from different producing areas. Results There was a large difference among 18 batches of S. asiatica. PCA results showed that S. asiatica were clustered into 3 categories. OPLS-DA analysis screened 4 differential markers from 13 variables. The fusion model of weighted TOPSIS and grey correlation degree showed that the comprehensive relative closeness of 18 batches of samples was between 0.293 1 and 0.665 8, and the comprehensive relative closeness of S14 was the highest. Conclusion The established method is convenient and accurate, and can be used for quantitative control and quality evaluation for S. asiatica.

R286.02

国家中医药管理局全国中药特色技术传承人才培训项目[国中医药人教函（2023）96号]