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基于指纹图谱结合化学计量学方法评价荆芥穗质量 被引量:4

Evaluation of spike quality of Schizonepeta tenuifolia based on fingerprint and chemometrics
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摘要 建立HPLC指纹图谱、多指标成分含量测定及化学模式识别的荆芥穗药材质量控制评价方法,为药材的质量控制提供依据。采用高效液相色谱法对收集得到的25批次荆芥穗药材进行化学成分分析,建立指纹图谱共有模式,共标定22个共有色谱峰,其相似度均在0.9以上。通过聚类分析将样品按不同产地分为3类;主成分分析与聚类分析结果一致;最后采用正交偏最小二乘-判别分析筛选出了不同批次荆芥穗药材的5个差异标志物,通过对照品指认,确定了9号峰为橙皮苷、10号峰为迷迭香酸、13号峰为金合欢素-7-O-葡萄糖、14号峰为槲皮素、20号峰为胡薄荷酮。本研究建立的质量评价方法稳定可靠,适用于荆芥穗药材的质量控制。 The quality control and evaluation methods of Schizonepeta tenuifolia were established by HPLC fingerprint,multi index component content determination and chemical pattern recognition to provide basis for the quality control of medicinal materials.The chemical components of 25 batches of Schizonepeta tenuifolia panicle medicinal materials and decoction pieces collected were analyzed by high performance liquid chromatography,and the common pattern of fingerprint was established.A total of 22 common chromatographic peaks were calibrated,and their similarity was more than 0.9.The samples were divided into three categories according to different producing areas by cluster analysis.The results of principal component analysis and cluster analysis were consistent.Finally,five differential markers of different batches of Schizonepeta tenuifolia were selected by orthogonal partial least squares discriminant analysis.Through the identification of the reference substance,it was determined that peak 9 was hesperidin,peak 10 was rosmarinic acid,peak 13 was tilianin,peak 14 was quercetin,and peak 20 was pulegone.The quality evaluation method established in this study is stable and reliable,and is suitable for the quality control of Schizonepeta tenuifolia.
作者 张群 罗沙 李洁 李贝 牛文意 谭睿 ZHANG Qun;LUO Sha;LI Jie;LI Bei;NIU Wen-yi;TAN Rui(School of Life Science and Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处 《药学学报》 CAS CSCD 北大核心 2022年第7期2146-2152,共7页 Acta Pharmaceutica Sinica
基金 国家自然科学基金面上项目(82074003) 国家重点研发计划中医药现代化研究(2018YFC1706200) 四川省重点研发项目(2020ZDYF3291)。
关键词 荆芥穗 HPLC 指纹图谱 多成分测定 化学模式识别 Schizonepeta tenuifolia HPLC fingerprint multicomponent determination chemical pattern recognition
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