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作 者:王东晗 梁宇飞 张欣欣 赵丽艳[1] 李亚鑫 张万明[1] 张丹参[1] WANG Dong-han;LIANG Yu-fei;ZHANG Xin-xin;ZHAO Li-yan;LI Ya-xin;ZHANG Wan-ming;ZHANG Dan-shen(School of Pharmacy,Hebei North University,Zhangjiakou 075000,China)
出 处:《中国实验方剂学杂志》2020年第6期138-143,共6页Chinese Journal of Experimental Traditional Medical Formulae
基 金:国家自然科学基金项目(81274005);河北北方学院基金项目(GZ1405);河北省中医药管理局项目(2017212)。
摘 要:目的:利用UPLC建立五加皮药材的指纹图谱,为五加皮的质量控制和评价提供参考。方法:选用Waters BEH C18色谱柱(2. 1 mm×100 mm,1. 7μm),检测波长282 nm,流动相乙腈-0. 1%冰乙酸水溶液梯度洗脱,流速0. 3 m L·min-1,柱温25℃,进样量2μL。以紫丁香苷峰为参照峰,在相同的色谱条件下测定20批不同产地五加皮药材,运用软件《中药色谱指纹图谱相似度评价系统(2012版)》对20批五加皮进行相关分析,并应用SPSS 21. 0软件进行聚类分析。结果:建立了五加皮药材的UPLC指纹图谱,20批五加皮药材中7批相似度<0. 800,其余药材相似度在0. 800~0. 924,标定了12个共有指纹峰,4个已确认成分,分别为原儿茶酸(1号峰),绿原酸(3号峰),紫丁香苷(4号峰),4-甲氧基水杨醛(12号峰)。聚类结果显示,20批五加皮样品被分为4类,S1,S3,S9,S13,S20聚为一类,S11单独为一类,S14单独为一类,其余样品聚为一类。结论:该方法具有良好的精密度、重复性、稳定性,分析时间短,专属性强,为五加皮的质量评价与控制提供科学依据。Objective: To established fingerprint of Acanthopanacix Cortex by UPLC method,in order to provide reference for quality control and evaluation. Method: UPLC method was performed on Waters BEH C18( 2. 1 mm × 100 mm,1. 7 μm),with acetonitrile-0. 1% glacial acetic acid as the mobile phase for gradient elution. The detection wavelength was 282 nm,the flow rate was 0. 3 m L·min-1,the column temperature was25 ℃,and the injection volume was 2 μL. With syringin as reference substance,the fingerprint of 20 batches Acanthopanacix Cortex were analyzed under the same chromatographic conditions. The Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Media( version 2012) was used to analyze the similarity of 20 batches of Acanthopanacix Cortex,and the SPSS 21. 0 was applied for cluster analysis. Result: The UPLC fingerprint of the Acanthopanacix Cortex was established. The similarity results showed that the 7 batches of the 20 batches of Acanthopanacix Cortex was less than 0. 800,and the remaining medicinal materials were similar within the range from 0. 800 to 0. 924. Besides,12 common fingerprint peaks were calibrated and 4 components were identified,namely protocatechuic acid( peak 1), chlorogenic acid( peak 3), syringin( peak 4), and 4-methoxysalicylaldehyde( peak 12). The clustering results showed that the 20 batches of Acanthopanacix Cortex were divided into four groups. Among these batches, S1, S3, S9, S13 and S20 were clustered into one category,S11 was a category, S14 was a category, and the remaining samples belonged to a category.Conclusion: With a good precision,repeatability and stability,short analysis time as well as superior specificity,the method will provide a scientific basis to evaluate and control the quality of Acanthopanacix Cortex.
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