摘要
目的建立枸杞HPLC指纹图谱,利用LC-MS对主要共有峰进行鉴定,并对4个主产地的枸杞样品进行聚类分析和产地判别分析。方法采用Waters Atlantis T3 C18(5μm,10 mm×250 mm)色谱柱,流动相为乙腈-0.5%磷酸,梯度洗脱;利用中药指纹图谱相似度评价软件及SPSS 22.0软件对数据分别进行相似度评价、聚类分析、判别分析。结果选取12个批次的枸杞样品建立对照指纹图谱,各批次的相似度均大于0.9,可以用于枸杞质量评价。4个产地枸杞的对照指纹图谱彼此之间具有较高的相似度,其中宁夏和新疆的相似度最高为0.95,聚类分析也将两个产地的枸杞聚在一起。利用枸杞色谱图中共有峰的相对峰面积进行判别分析,获得了区分枸杞各产地的指标色谱峰,分别为峰2、峰8、峰18和峰20,该模型对另外隐去产地信息的12个批次的枸杞样品进行了预测,未知产地预测正确率为83.3%。结论本试验建立了枸杞对照指纹图谱,可以作为枸杞药材的质量评价方法。聚类分析及判别分析也取得了较好的结果,为枸杞的产地判别和质量评价提供了新的思路和模式。
Objective To establish an HPLC fingerprints of Lyciumbarbarum L. and identify the main common peaks by LC-MS, and to perform the cluster analysis and discriminant analysis of 4 main origins of Lyciumbarbarum L.. Methods Waters Atlantis T3 C18 （5 μm, 10 mm×250 mm） column was used, with the mobile phase of acetonitrile and 0.5% phosphoric acid. Fingerprints of Lyciumbarbarum L. from 4 main producing areas were established and common peaks were indentified by HPLC-MS/MS. Similarity evaluation software and SPSS 22.0 software were used to evaluate the similarity, clustering and discriminant respectively. Results The control fingerprints of 12 batches of Lyciumbarbarum L. were established and the similarity of each batch was higher than 0.9, suggesting good consistency in the chemical composition of each batch of Lyciumbarbarum L. and it could be used to evaluate the quality of Lyciumbarbarum L.. There was high similarity among the control fingerprints of the Lyciumbarbarum L. from 4 areas, and the similarity between Ningxia and Xinjiang was as high as 0.95. The two areas were also brought together by cluster analysis. The relative peak area of the common peaks were used for the discriminant analysis and index peaks were obtained, including peak 2, 8, 18 and 20. Another 12 batches ofLyciumbarbarum L. samples with hidden origin information were predicted by the model, and the correct rate was 83.3%. Conclusion Fingerprints of Lyciumbarbarum L. may be used to evaluate the quality ofLyciumbarbarum L.. Good results arc achieved from cluster analysis and discriminant analysis, which provide new ideas and models for the production and quality evaluation of Lyeiumbarbarum L..
作者
白光灿
李娅琦
张泽坤
郭慧清
王梓轩
李月
董玲
裴纹萱
马长华
BAI Guang-can;LI Ya-qi;ZHANG Ze-kun;GUO Hui-qing;WANG Zi-xuan;LI Yue;DONG Ling;PEI Wen-xuan;MA Chang-hua(School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100102;School of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029)
出处
《中南药学》
CAS
2018年第6期725-730,共6页
Central South Pharmacy
基金
国家中药标准化项目(No.ZYBZH-Y-GS-10-B)
关键词
枸杞
指纹图谱
聚类分析
产地判别分析
Lyciumbarbarum L.
fingerprint
cluster analysis
discriminant analysis
