目的 建立金钱草Lysimachia christinae HPLC指纹图谱及山柰酚-3-O-芸香糖苷、咖啡酸、芦丁、夏佛塔苷、迷迭香酸、碟豆素、异槲皮苷、槲皮苷、槲皮素、山柰酚10种成分含量测定方法，并结合化学模式识别和熵权TOPSIS对其质量进行评价。方法 采用ZORBAX Eclipse Plus C₁₈（250 mm×4.6 mm，5 μm）色谱柱；以乙腈-0.1%磷酸溶液为流动相，梯度洗脱；体积流量为0.9 mL/min；检测波长为360 nm，柱温为30 ℃；进样量为10 μL的HPLC对不同产地金钱草药材进行检测，通过“中国色谱指纹图谱相似度评价系统（2012版）”软件进行相似度评价，使用SIMCA-14.1和SPSS27.0软件进行主成分分析（principal component analysis，PCA）和正交偏最小二乘判别分析（orthogonal partial least squares discriminant analysis，OPLS-DA）和聚类分析（hierarchical cluster analysis，HCA）；通过与对照品进行比对指认10种指标成分并进行含量测定，采用化学模式识别和熵权TOPSIS对结果进行综合评价。结果 15批金钱草HPLC指纹图谱匹配出19个共有峰，指认了山柰酚-3-O-芸香糖苷、咖啡酸、芦丁、夏佛塔苷、迷迭香酸、碟豆素、异槲皮苷、槲皮苷、槲皮素、山柰酚，指纹图谱的相似度0.703～0.965；HCA将15批金钱草聚为4类；PCA分析得到6个主成分的累积方差贡献率为88.149%；OPLS-DA分析表明有11种成分可作为区分金钱草质量的差异标志物；15批金钱草中山柰酚-3-O-芸香糖苷、咖啡酸、芦丁、夏佛塔苷、迷迭香酸、碟豆素、异槲皮苷、山柰酚、槲皮苷、槲皮素的质量分数分别为0.056～0.611、0.006～0.086、0.165～1.008、0.091～0.521、0.016～0.581、0.146～0.797、0.045～0.450、0.026～0.100、0.052～0.483、0.026～0.088 mg/g；熵权TOPSIS分析表明四川和江西产地的金钱草质量较优。结论 建立的金钱草HPLC指纹图谱及多成分含量测定方法准确、稳定、分离度和重复性好，为其质量控制提供依据。

Objective To establish the HPLC fingerprint of Lysimachia christinae and determination method of ten components such as kaempferol-3-O-rutinoside, caffeic acid, rutin, schaftoside, rosmarinic acid, clitorin, coumarin, isoquercitrin, quercitrin, quercetin and kaempferol, then, evaluate its quality by combining chemical pattern recognition and entropy weight TOPSIS. Methods This experiment used ZORBAX Eclipse Plus C₁₈ (250 mm×4.6 mm, 5 μm) chromatographic column; Acetonitrile-0.1% phosphoric acid solution was served as the mobile phase, gradient elution; The flow rate was 0.9 mL/min; The detection wavelength was 360 nm and the column temperature was 30 ℃; The high-performance liquid chromatography (HPLC) method with an injection volume of 10 μL was used to detect L. christinae from different origins, the “Chinese Chromatographic Fingerprint Similarity Evaluation System” (2012 Edition) was used for similarity evaluation, SPSS27.0 software was performed for cluster analysis, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to evaluate the quality of L. christinae. By comparing with the reference substance, ten indicator components were identified and their contents were determined. Chemical pattern recognition and entropy weight TOPSIS were used to comprehensively evaluate the results.Results The HPLC fingerprint spectra of 15 batches of L. christinae were matched with 19 common peaks, identified kaempferol-3-O-rutinoside, caffeic acid, rutin, rosmarinic acid, coumarin, clitorin, isoquercitrin, quercitrin, quercetin, and kaempferol. The similarity range of the fingerprint spectra was 0.703—0.965; Systematic clustering divided 15 batches of goldenrod into four categories, the cumulative variance contribution rate of the six principal components obtained from PCA was 88.149%, OPLS-DA showed that 11 components were differential markers for distinguishing the quality of L. christinae; The contents of caffeic acid, kaempferol, coumarin, rutin, isoquercitrin, kaempferol-3-O-rutinoside, clitorin, quercitrin, rosmarinic acid, quercetin, and kaempferol in 15 batches of L. christinae are 0.006—0.086 mg/g, 0.091—0.521 mg/g, 0.146—0.797 mg/g, 0.165—1.008 mg/g, 0.045—0.450 mg/g, 0.056—0.611 mg/g, 0.052—0.483 mg/g, 0.016—0.581 mg/g, 0.026—0.088 mg/g, 0.026—0.100 mg/g, respectively; Entropy weight TOPSIS analysis demonstrated that the qualities of L. christinae from Sichuan and Jiangxi regions were superior. Conclusion The established HPLC fingerprint and multiple constituent content determination method for L. christinae are accurate, stable, with good separation and repeatability, which can be used for the quality evaluation of L. christinae and provide the basis for its quality control.

R282.2

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