采用HPLC指纹图谱技术及数据分析方法对不同产地枸杞进行质量评价研究
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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 of Lyciumbarbarum 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 of Lyciumbarbarum L.. Good results are achieved from cluster analysis and discriminant analysis, which provide new ideas and models for the production and quality evaluation of Lyciumbarbarum L..
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 of Lyciumbarbarum 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 of Lyciumbarbarum L.. Good results are achieved from cluster analysis and discriminant analysis, which provide new ideas and models for the production and quality evaluation of Lyciumbarbarum L..
引文
[1]李建学,樊祥富,刘学龙,等.枸杞化学成分及其药理作用的研究进展[J].食品安全导刊,2016,12(24):75-75.
[2]吴有锋,马世震,谭亮,等.柴达木枸杞化学成分的测定[J].中成药,2017,39(5):984-989.
[3]刘莹玉.枸杞化学成分与生理作用的研究现状[J].农村经济与科技,2017,28(8):339-344.
[4]周晶,李光华.枸杞的化学成分与药理作用研究综述[J].辽宁中医药大学学报,2009,11(6):93-95.
[5]冯彦.枸杞多糖药理作用与临床应用[J].中国现代药物应用,2016,10(6):278-279.
[6]侯学谦,祝婉芳,曲玮,等.枸杞化学成分及药理活性研究进展[J].海峡药学,2016,28(8):1-7.
[7]甄汉深,范秀春,丘琴,等.中药指纹图谱研究的一些问题探讨[J].时珍国医国药,2015,26(8):1960-1961.
[8]孙国祥,闫波,侯志飞,等.中药色谱指纹图谱评价方法研究进展[J].中南药学,2015,13(7):673-681.
[9]卫亚洁,张泽坤,关彦玲,等.护肝片高效液相色谱指纹图谱及多成分定量分析研究[J].中南药学,2018,16(1):31-34.
[10]张自萍,廖国玲,李弘武.宁夏枸杞黄酮类化合物HPLC指纹图谱研究[J].中草药,2008,39(1):103-105.
[11]邓洁雄,卢讯聪,颜惠芳.枸杞子极性成分HPLC指纹图谱的研究[J].中国中医药现代远程教育,2015,13(15):142-144.
[12]Liu CX,Cheng YY,Guo DA,et al.A new concept on quality marker for quality assessment and process control of Chinese medicines[J].Chinese Herbal Medicines,2017,9(1):3-13.
[2]吴有锋,马世震,谭亮,等.柴达木枸杞化学成分的测定[J].中成药,2017,39(5):984-989.
[3]刘莹玉.枸杞化学成分与生理作用的研究现状[J].农村经济与科技,2017,28(8):339-344.
[4]周晶,李光华.枸杞的化学成分与药理作用研究综述[J].辽宁中医药大学学报,2009,11(6):93-95.
[5]冯彦.枸杞多糖药理作用与临床应用[J].中国现代药物应用,2016,10(6):278-279.
[6]侯学谦,祝婉芳,曲玮,等.枸杞化学成分及药理活性研究进展[J].海峡药学,2016,28(8):1-7.
[7]甄汉深,范秀春,丘琴,等.中药指纹图谱研究的一些问题探讨[J].时珍国医国药,2015,26(8):1960-1961.
[8]孙国祥,闫波,侯志飞,等.中药色谱指纹图谱评价方法研究进展[J].中南药学,2015,13(7):673-681.
[9]卫亚洁,张泽坤,关彦玲,等.护肝片高效液相色谱指纹图谱及多成分定量分析研究[J].中南药学,2018,16(1):31-34.
[10]张自萍,廖国玲,李弘武.宁夏枸杞黄酮类化合物HPLC指纹图谱研究[J].中草药,2008,39(1):103-105.
[11]邓洁雄,卢讯聪,颜惠芳.枸杞子极性成分HPLC指纹图谱的研究[J].中国中医药现代远程教育,2015,13(15):142-144.
[12]Liu CX,Cheng YY,Guo DA,et al.A new concept on quality marker for quality assessment and process control of Chinese medicines[J].Chinese Herbal Medicines,2017,9(1):3-13.