目的 建立多指标成分定量检测方法，联合化学计量学、加权逼近理想解排序（TOPSIS）与灰色关联度 分析（GRA）融合模型对不同产地飞扬草药材质量进行综合评价。方法 采用高效液相色谱（HPLC）法，以 BetaMax Base C18柱为色谱柱，乙腈-0.2%磷酸为流动相梯度洗脱，检测波长分别为280 nm（没食子酸、香草酸、 丁香酸、松脂素）、360 nm（杨梅苷、异槲皮苷、槲皮苷、阿福豆苷）和210 nm（β-香树脂醇、β-谷甾醇、豆甾 醇），同时检测16批飞扬草中没食子酸、香草酸、丁香酸、松脂素、杨梅苷、异槲皮苷、槲皮苷、阿福豆苷、 β-香树脂醇、β-谷甾醇和豆甾醇含量，并按照《中国药典》方法检测16批飞扬草浸出物和总灰分含量。采用 化学计量学、加权TOPSIS与GRA融合技术对检测数据进行分析，综合评价不同产地飞扬草药材质量差异。结 果 HPLC 多指标成分定量检测方法操作便捷，专属性强，精密度、重复性及供试品溶液 24 h 内稳定性良好 （RSD＜2.0%）；没食子酸、香草酸、丁香酸、松脂素、杨梅苷、异槲皮苷、槲皮苷、阿福豆苷、β-香树脂醇、 β-谷甾醇和豆甾醇的线性关系良好（R2＞0.999）；相对校正因子耐用性良好（RSD＜2.0%），一测多评（QAMS）法 与外标（ESM）法结果接近（P＞0.05）；16批飞扬草中上述 11个成分含量范围分别为 0.315~0.540、0.382~0.731、 0.127~0.245、0.055~0.114、2.605~4.368、0.164~0.390、0.956~1.603、0.090~0.155、0.024~0.071、0.038~0.104、 0.041~0.079 mg·g-1；浸出物和总灰分范围分别为11.4%～19.1%、4.12%～9.33%。化学计量学结果显示16批飞 扬草样品分3类，呈现一定产地差异；杨梅苷、香草酸、槲皮苷和异槲皮苷是影响飞扬草质量的主要差异性标 志物。加权TOPSIS与灰色关联度融合模型相对贴近度0.304 8~0.639 4，产品质量优劣分类结果与化学计量学分 类结果基本一致。结论 基于多指标成分定量联合化学计量学、加权TOPSIS与GRA融合模型能有效地评价不 同产地飞扬草的药材质量。

Objective To establish the quantitative detection method of multi-index component content of Euphorbia hirta，and comprehensive evaluate the quality of Euphorbia hirta from different producing areas using fusion model of chemometrics，weighted technique for order preference by similarity to an ideal solution（TOPSIS）and grey relationa analysis（GRA）. Methods The HPLC method was used with BetaMax Base C18 column. Acetonitrile-0.2% phosphoric acid was used as the mobile phase for gradient elution. The detection wavelengths were 280 nm（gallic acid，vanillic acid， syringic acid and pinoresinol）， 360 nm（myricitrin， isoquercitrin， quercitrin and afzelin）， and 210 nm （β-amyrin，β-sitosterol and stigmasterol）. At the same time，the contents of gallic acid，vanillic acid，syringic acid， pinoresinol，myricitrin，isoquercitrin，quercitrin，afzelin，β-amyrin，β-sitosterol and stigmasterol in 16 batches of Euphorbia hirta were detected. The contents of extract and total ash in Euphorbia hirta were detected according to Chinese pharmacopoeia. Fusion technology of chemometrics，weighted TOPSIS and GRA was used to analyze the test data， and the quality differences of Euphorbia hirta from different producing areas were comprehensively evaluated. Results The quantitative HPLC method of multi-index component was convenient and specific. The precision， repeatability and stability of the test solution within 24 h were good（RSD<2.0%）. The linear relationship of gallic acid， vanillic acid， syringic acid， pinoresinol， myricitrin， isoquercitrin， quercitrin， afzelin， β -amyrin， β -sitosterol and stigmasterol were good（R2>0.999）. The relative correction factor showed good durability（RSD<2.0%）. The results of quantitative analysis of multi-components by single-marker （QAMS）method and external standard method （ESM）were close（P>0.05）. The content ranges of the above 11 components in 16 batches of Euphorbia hirta were 0.315～0.540，0.382～0.731，0.127～0.245，0.055～0.114，2.605～4.368，0.164～0.390，0.956～1.603，0.090～ 0.155，0.024～0.071，0.038～0.104，0.041～0.079 mg·g-1. The content ranges of extract and total ash were 11.4%～ 19.1% and 4.12%～9.33%，respectively. The results of chemometrics showed that 16 batches of samples were divided into three categories，showing a certain difference in origin. Myricetin，vanillic acid，quercetin and isoquercetin were the main differential markers affecting the quality of Euphorbia hirta. The relative closeness of the fusion model of weighted TOPSIS and GRA was 0.304 8～0.639 4， and the classification results of product quality were basically consistent with those of chemometrics. Conclusion Fusion model of multi-index component quantification combined with chemometrics， weighted TOPSIS and GRA can be used for quality evaluation of Euphorbia hirta in different producing areas.

R284.1

湖北省卫生健康委员会中医药科研项目（ZY2019Q014）