[關(guān)鍵詞]
[摘要]
目的 建立金錢草Lysimachia christinae HPLC指紋圖譜及山柰酚-3-O-蕓香糖苷、咖啡酸、蘆丁、夏佛塔苷、迷迭香酸、碟豆素、異槲皮苷、槲皮苷、槲皮素、山柰酚10種成分含量測定方法,并結(jié)合化學模式識別和熵權(quán)TOPSIS對其質(zhì)量進行評價。方法 采用ZORBAX Eclipse Plus C18(250 mm×4.6 mm,5 μm)色譜柱;以乙腈-0.1%磷酸溶液為流動相,梯度洗脫;體積流量為0.9 mL/min;檢測波長為360 nm,柱溫為30 ℃;進樣量為10 μL的HPLC對不同產(chǎn)地金錢草藥材進行檢測,通過“中國色譜指紋圖譜相似度評價系統(tǒng)(2012版)”軟件進行相似度評價,使用SIMCA-14.1和SPSS27.0軟件進行主成分分析(principal component analysis,PCA)和正交偏最小二乘判別分析(orthogonal partial least squares discriminant analysis,OPLS-DA)和聚類分析(hierarchical cluster analysis,HCA);通過與對照品進行比對指認10種指標成分并進行含量測定,采用化學模式識別和熵權(quán)TOPSIS對結(jié)果進行綜合評價。結(jié)果 15批金錢草HPLC指紋圖譜匹配出19個共有峰,指認了山柰酚-3-O-蕓香糖苷、咖啡酸、蘆丁、夏佛塔苷、迷迭香酸、碟豆素、異槲皮苷、槲皮苷、槲皮素、山柰酚,指紋圖譜的相似度0.703~0.965;HCA將15批金錢草聚為4類;PCA分析得到6個主成分的累積方差貢獻率為88.149%;OPLS-DA分析表明有11種成分可作為區(qū)分金錢草質(zhì)量的差異標志物;15批金錢草中山柰酚-3-O-蕓香糖苷、咖啡酸、蘆丁、夏佛塔苷、迷迭香酸、碟豆素、異槲皮苷、山柰酚、槲皮苷、槲皮素的質(zhì)量分數(shù)分別為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;熵權(quán)TOPSIS分析表明四川和江西產(chǎn)地的金錢草質(zhì)量較優(yōu)。結(jié)論 建立的金錢草HPLC指紋圖譜及多成分含量測定方法準確、穩(wěn)定、分離度和重復性好,為其質(zhì)量控制提供依據(jù)。
[Key word]
[Abstract]
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.
[中圖分類號]
R282.2
[基金項目]
湖北恒安芙林藥業(yè)股份有限公司合作項目(SDHZ20240164);湖北省科技廳重點研發(fā)大健康計劃項目(2022BCE017);湖北省科技廳自然科學基金項目(2022CFB357,2022CFB427);湖北省衛(wèi)生健康委員會中醫(yī)藥重點項目(ZY2023Z015);湖北衛(wèi)生健康委員會衛(wèi)生健康科研項目(WJ2023M153);湖北省宜昌市科學技術(shù)局醫(yī)療衛(wèi)生研究項目(A23-1-061)