| 高婧,王领弟,李艳荣,等.不同产地山楂叶HPLC指纹图谱比较分析[J].安徽医药,2018,22(1):38-42. |
| 不同产地山楂叶HPLC指纹图谱比较分析 |
| HPLC fingerprint comparative analysis of the hawthorn leaf from different regions |
| 投稿时间：2017-02-16 |
| DOI： |
| 中文关键词: 山楂叶提取物 指纹图谱 含量测定 |
| 英文关键词: |
| 基金项目:河北省高等学校科学技术研究重点项目(ZD2015097);河北省中医药管理局课题(2017216)；承德市科学技术研究与发展计划项目(201601A043)；承德市科学技术研究与发展计划项目(201606A016) 作者简介:高婧,女,硕士研究生 |
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| 摘要点击次数: 5774 |
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| 中文摘要: |
| 目的 建立不同产地的山楂叶50%乙醇提取物的HPLC指纹图谱,并对其中5种主要成分进行含量测定,结合聚类分析评价不同产地的山楂叶药材质量。方法 采用Diamonsil C18(4.6 mm×250 mm,5 μm)色谱柱；以乙腈-0.1%冰醋酸-四氢呋喃体系梯度洗脱；检测波长320 nm；流速0.9 mL·min-1；柱温30 ℃；应用中药色谱指纹图谱相似度评价系统建立HPLC指纹图谱进行评价,用SPSS 19.0统计软件进行聚类分析。结果 标定出山楂叶HPLC指纹图谱共有峰7个,相似度0.09~0.90；聚类分析后,可以区分不同产地山楂叶,最终以19批主产地的山楂叶为样本,重新建立山楂叶50%乙醇提取物HPLC指纹图谱,标定出共有峰11个,相似度均大于0.85；对25批山楂叶提取物5种主要成分进行含量测定,结果显示主产区山楂叶的质量比较稳定。结论 建立的山楂叶HPLC指纹图谱重现性和特征性较好,能够快速鉴别山楂叶。应用SPSS 19.0聚类分析软件,可以较全面的反映不同产地山楂叶化学成分的差异,为其质量控制提供实验依据。 |
| 英文摘要: |
| Objective To establish HPLC fingerprints of 50% ethanol extract from hawthorn leaves from different regions,to determine five kinds of main composition content,and to evaluate the qualities of hawthorn leaves from different regions combining with clustering analysis. Methods The method was performed on a Diamonsil C18 column(4.6 mm×250 mm,5 μm).The mobile phase was set in a gradient elution model consisting of acetonitrile,0.1% glacial acetic acid and tetrahydrofuran at a flow rate of 0.9 mL·min-1.The detection wavelength was 320 nm,and the column temperature was 30 ℃.HPLC fingerprint was established for evaluation with the similarity evaluation system for chromatographic fingerprint of TCM and clustering analysis was made by SPSS 19.0 software. Results Seven peaks were selected as the common peaks in the fingerprint and the similarity of samples was 0.09 to 0.90.The result of clustering analysis could be used to distinguish hawthorn leaves from different regions,and eventually 19 batches of hawthorn leaves from main producing areas were chosen as samples and HPLC fingerprints of 50% ethanol extract from hawthorn leaves were re-established.Calibration of 11 common peaks were determined,and the similarity was greater than 0.85.The results of the determination of five kinds of main components showed that the qualities of hawthorn leaves from main producing areas were stable. Conclusions HPLC fingerprint of hawthorn leaf is good in repeatability and characterization,which can be used for rapid identification of hawthorn leaf.The clustering analysis with SPSS 19.0 software can demonstrate the differences in chemical composition of hawthorn leaves from different regions and provide reference for the quality control. |
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