目的 建立不同产地珍珠透骨草Speranskia tuberculata多指标定量及质量差异评价方法。方法 采用HPLC法建立珍珠透骨草药材中绿原酸、对香豆酸、阿魏酸、香草酸、穗花杉双黄酮、香叶木素、木犀草素、山柰酚、槲皮素、忍冬苷、芦丁、β-谷甾醇、豆甾醇含量检测方法，以乙腈-0.4%磷酸为流动相，320 nm和210 nm为检测波长，体积流量为1.0 mL/min，进样量10 μL，柱温30℃，同时检查水溶性浸出物、总灰分和酸不溶性灰分。采用SPSS 26.0和SIMCA 14.1软件对18批珍珠透骨草进行主成分分析（principal component analysis，PCA）和正交偏最小二乘法-判别分析（orthogonal partial least squares-discriminant analysis，OPLS-DA），结合变量重要性投影值确定质量差异标志物；采用CRITIC-TOPSIS法构建珍珠透骨草综合质量评价模型。结果 经方法学考察，各成分呈现良好的线性关系，准确度良好。定量分析结果显示不同产地珍珠透骨草中13个化学成分质量分数分别为（0.867±0.198）、（0.586±0.187）、（1.454±0.324）、（0.347±0.070）、（8.262±1.486）、（3.247±0.547）、（2.397±0.545）、（4.464±0.744）、（3.224±0.979）、（0.266±0.101）、（1.153±0.216）、（0.706±0.164）、（0.079±0.011）mg/g，水溶性浸出物、总灰分和酸不溶性灰分的量分别为（25.2±6.4）%、（12.0±2.5）%、（2.2±1.1）%；多元统计分析结果表明18批珍珠透骨草明显分为3类，筛选出贡献度较大的8个质量差异标志物，按贡献度依次为穗花杉双黄酮、槲皮素、山柰酚、阿魏酸、木犀草素、香叶木素、绿原酸和β-谷甾醇；CRITIC-TOPSIS法分析结果显示样品S6（产地为江苏）、S5（产地为河南）、S2（产地为山东）、S4（产地为河南）、S3（产地为山东）、S1（产地为山东）、S7（产地为江苏）的综合质量相对较好。结论 不同产地珍珠透骨草药材质量存在差异。建立的多指标定量、化学计量学及CRITIC-TOPSIS法为完善珍珠透骨草质量评价体系提供了实验依据。

ObjectiveTo establish the method of multi-index quantification and quality difference evaluation of Zhenzhutougucao (S. tuberculata) from different producing areas. Methods HPLC method was used to establish the content determination method of chlorogenic acid, p-coumaric acid, ferulic acid, vanillic acid, amentoflavone, diosmetin, luteolin, kaempferol, quercetin, lonicerin, rutoside, β-sitosterol and stigmasterol in S. tuberculata. The mobile phase was acetonitrile-0.4 % phosphoric acid, the flow rate was 1.0 mL/min , the detection wavelength was 320 nm and 210 nm, the injection volume was 10 μL, and the column temperature was 30 ℃, water-soluble extract, total ash and acid-insoluble ash were also examined. Principal component analysis and orthogonal partial least squares discriminant analysis were performed on 18 batches of S. tuberculata by SPSS 26.0 and SIMCA14.1 software, and the quality difference markers were determined by the values of variable importance for projection. The CRITIC-TOPSIS method was used to construct the comprehensive quality evaluation model of S. tuberculata. Results The methodological investigation showed that each component showed a good linear relationship and good accuracy.The results of quantitative analysis showed that the contents of 13 chemical components in S. herba from different habitats were (0.867 ± 0.198), (0.586 ± 0.187), (1.454 ± 0.324), (0.347 ± 0.070), (8.262 ± 1.486), (3.247 ± 0.547), (2.397 ± 0.545), (4.464 ± 0.744), (3.224 ± 0.979), (0.266 ± 0.101), (1.153 ± 0.216), (0.706 ± 0.164), (0.079 ± 0.011) mg /g, respectively. The contents of water-soluble extract, total ash and acid-insoluble ash were (25.2 ± 6.4) %, (12.0 ± 2.5) % and (2.2 ± 1.1) %, respectively. The results of multivariate statistical analysis showed that 18 batches of S. herba were obviously divided into three categories. Eight quality difference markers with great contribution were screened and mentioned. According to the contribution degree, they were amentoflavone, quercetin, kaempferol, ferulic acid, luteolin, diosmetin, chlorogenic acid and β-sitosterol. The results of CRITIC-TOPSIS analysis showed that the comprehensive quality of samples S6 (from Jiangsu), S5 (from Henan), S2 (from Shandong), S4 (from Henan), S3 (from Shandong), S1 (from Shandong) and S7 (from Jiangsu) was relatively good. Conclusion There are differences in the quality of S. herba from different producing areas. The established multi-index quantification, chemometrics and CRITIC-TOPSIS method provide experimental basis for improving the quality evaluation system of S. tuberculata.

R286.2

河南省卫生健康委医学科技攻关计划联合共建项目（LHGJ20230771）