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一测多评法同时测定养阴镇静片中8种成分 被引量:8

Simultaneous determination of eight constituents in Yangyin Zhenjing Tablets by QAMS
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摘要 目的建立一测多评法同时测定养阴镇静片(麦冬、地黄、茯苓等)中麦冬甲基黄烷酮A、甲基麦冬二氢高异黄酮B、梓醇、去氢土莫酸、去氢茯苓酸、茯苓酸、丹参素、丹参酮ⅡA的含有量。方法该药物70%甲醇提取液的分析采用Hypersil ODS-C18色谱柱(4.6 mm×250 mm,5μm);流动相乙腈-0.1%磷酸,梯度洗脱;体积流量0.8 mL/min;柱温30℃;检测波长210、280、296 nm。以丹参酮ⅡA为内标,计算其他7种成分的相对校正因子,测定其含有量。结果 8种成分在各自范围内线性关系良好(r>0.999 0),平均加样回收率96.89%~100.05%,RSD 0.60%~1.34%。一测多评法所得结果与外标法接近。结论该方法稳定可靠,可用于养阴镇静片的质量控制。 AIM To establish a quantitative analysis of multi-components by single-marker(QAMS) method for the simultaneous content determination of methylophiopogonanone A, methylophiopogonanone B, catalpol, dehydrotumulosic acid, dehydropachymic acid, pachymic acid, danshensu and tanshinoneⅡA in Yangyin Zhenjing Tablets(Ophiopogonis Radix, Rehmanniae Radix, Poria, etc.).METHODS The analysis of 70% methanol extract of this drug was performed on a 30 ℃ thermostatic Hypersil ODS-C18 column(4.6 mm×250 mm, 5 μm), with the mobile phase comprising of acetonitrile-0.1% phosphoric acid(B) flowing at 0.8 mL/min in a gradient elution manner, and the detection wavelengths were set at 210, 280, 296 nm. TanshinoneⅡA was used as an internal standard to calculate the relative correction factors of the other seven constituents, after which the content determination was made.RESULTS Eight constituents showed good linear relationships within their own ranges(r>0.999 0), whose average recoveries were 96.89%-100.05% with the RSDs of 0.60%-1.34%. The results obtained by QAMS approximated those obtained by external standard method.CONCLUSION This stable and reliable method can be used for the quality control of Yangyin Zhenjing Tablets.
作者 沈静琳 丁莹 SHEN Jing-lin;DING Ying(Department of Pharmacy, Jiangxi Medical College, Shangrao 334000, China;Medical Institute for Chemical Industry, GuangdongPharmaceutical University,Zhongshan 528458,China)
出处 《中成药》 CAS CSCD 北大核心 2019年第6期1227-1232,共6页 Chinese Traditional Patent Medicine
关键词 养阴镇静片 化学成分 一测多评 Yangyin Zhenjing Tablets chemical constituents quantitative analysis of multi-components by single-marker
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