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羚羊清肺丸HPLC指纹图谱建立及6种成分测定 被引量:2

Establishment of HPLC fingerprints and determination of six constituents for Lingyang Qingfei Pills
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摘要 目的建立羚羊清肺丸HPLC指纹图谱,并测定黄芩苷、黄芩素、汉黄芩苷、汉黄芩素、异绿原酸A、丹皮酚的含量。方法该药物70%甲醇提取液的分析采用Diamonsil C 18色谱柱(250 mm×4.6 mm,5μm);流动相水(含0.1%甲酸)-乙腈(含25%甲醇),梯度洗脱;体积流量1.0 mL/min;柱温30℃;检测波长260 nm。聚类分析、主成分分析、正交偏最小二乘判别分析进行化学模式识别。结果22批样品指纹图谱中有30个共有峰,相似度均大于0.970,归属于11种药材,指认出14个。各批样品聚为2类,组间差异化合物有11个。6种成分在各自范围内线性关系良好(r≥0.9994),平均加样回收率96.9%~102.7%,RSD 1.8%~3.7%。结论该方法简便,重复性好,可用于羚羊清肺丸的质量控制。 AIM To establish the HPLC fingerprints for Lingyang Qingfei Pills,and to determine the contents of baicalin,baicalein,wogonoside,wogonin,isochlorogenic acid A,paeonol.METHODS The 70%methanol extract of this drug was performed on a 30℃thermostatic Diamonsil C 18 column(250 mm×4.6 mm,5μm),with the mobile phase comprising of water(containing 0.1%formic acid)-acetonitrile(containing 25%methanol)flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 260 nm.Cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were adopted in chemical pattern recognition.RESULTS There were thirty common peaks in the fingerprints for twenty-two batches of samples with the similarities of more than 0.970,which belonged to eleven medicinal materials,and fourteen of them were identified.Various batches of samples were clustered into two categories,and eleven differential compounds between groups were found.Six constituents showed good linear relationships within their own ranges(r≥0.9994),whose average recoveries were 96.9%-102.7%with the RSDs of 1.8%-3.7%.CONCLUSION This simple and reproducible method can be used for the quality control of Lingyang Qingfei Pills.
作者 王凤丽 针涛 魏岚 孙立新 WANG Feng-li;ZHEN Tao;WEI Lan;SUN Li-xin(College of Pharmacy,Shenyang Pharmaceutical University,Benxi 117004,China)
出处 《中成药》 CAS CSCD 北大核心 2023年第6期1781-1787,共7页 Chinese Traditional Patent Medicine
基金 辽宁省教育厅“辽宁特聘教授滚动支持项目”(辽教函[2018]35号)。
关键词 羚羊清肺丸 HPLC指纹图谱 化学成分 聚类分析 主成分分析 正交偏最小二乘判别分析 Lingyang Qingfei Pills HPLC fingerprints chemical constituents cluster analysis principal component analysis orthogonal partial least squares discriminant analysis
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