基于模式识别分析方法的木鳖子皂苷部位超高液相色谱指纹图谱研究
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摘要
目的建立木鳖子药材皂苷部位超高液相色谱(UPLC)指纹图谱的模式识别分析方法,综合评价其质量。方法采用UPLC-BEH C18色谱柱(2.1 mm×100 mm,1.7μm),流动相为乙腈-0.1%磷酸水溶液,线性梯度洗脱,流速0.25 mL/min,柱温30℃,检测波长203 nm,分别对21批木鳖子样品指纹图谱进行相似度分析、聚类分析和偏最小二乘判别分析(PLS-DA)。结果提取了指纹图谱中的14个共有色谱峰,确认了1个色谱峰;21批木鳖子样品指纹图谱的相似度均大于0.9,其中11批相似度>0.99;聚类分析和PLS-DA可将21批样品分为四大类,PLS-DA色谱峰变量重要性投影(VIP)得分>1.0的有7个。结论本研究建立的模式识别分析方法简便可行,可用于木鳖子药材指纹图谱研究及其质量评价。
Objective To establish a pattern recognition analysis method to analyze UPLC fingerprints of saponin part in Momordicae Semen; To comprehensively evaluate its quality. Methods The UPLC fingerprints were performed on BEH C18 column(2.1 mm × 100 mm, 1.7 μ m), at 30 ℃. The mobile phases were composed of 0.1% phosphoric acid and acetonitrile, gradient elution. The flow rate was 0.25 mL/min, and the detection wavelength was set at 203 nm. The similarity comparison, hierarchical cluster analysis and partial least squares discriminate analysis(PLS-DA) were applied to study UPLC fingerprints of 21 batches of samples. Results Toally 14 chromatographic peaks were extracted as the common peaks of fingerprints, and one peak was identified. The results showed that similarity degrees of 21 batches of samples were above 0.9, and 11 batches of samples were above 0.99. Cluster analysis and PLS-DA could divide 21 batches of samples into 4 categories, and there were 7 PLS-DA chromatographic peak variable importance projection(VIP) scores >1.0. Conclusion The established pattern recognition analysis method is feasible and simple, and it can be used to evaluate UPLC fingerprints and quality evaluation of Momordicae Semen.
Objective To establish a pattern recognition analysis method to analyze UPLC fingerprints of saponin part in Momordicae Semen; To comprehensively evaluate its quality. Methods The UPLC fingerprints were performed on BEH C18 column(2.1 mm × 100 mm, 1.7 μ m), at 30 ℃. The mobile phases were composed of 0.1% phosphoric acid and acetonitrile, gradient elution. The flow rate was 0.25 mL/min, and the detection wavelength was set at 203 nm. The similarity comparison, hierarchical cluster analysis and partial least squares discriminate analysis(PLS-DA) were applied to study UPLC fingerprints of 21 batches of samples. Results Toally 14 chromatographic peaks were extracted as the common peaks of fingerprints, and one peak was identified. The results showed that similarity degrees of 21 batches of samples were above 0.9, and 11 batches of samples were above 0.99. Cluster analysis and PLS-DA could divide 21 batches of samples into 4 categories, and there were 7 PLS-DA chromatographic peak variable importance projection(VIP) scores >1.0. Conclusion The established pattern recognition analysis method is feasible and simple, and it can be used to evaluate UPLC fingerprints and quality evaluation of Momordicae Semen.
引文
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[6]韩燕全,洪燕,夏伦祝,等.姜炭超高效液相色谱指纹图谱研究[J].安徽中医药大学学报,2016,35(1):86-89.
[7]韩燕全,洪燕,夏伦祝,等.UPLC指纹图谱技术结合毒性成分含量优选苍耳子的炮制工艺[J].中国中药杂志,2014,39(7):1248-1254.
[8]夏伯候,严东,曹艺,等.不同剂型夏桑菊颗粒HPLC指纹图谱及其模式识别分析[J].中国中药杂志,2016,41(3):416-420.
[9]周喜丹,唐力英,周国洪,等.HPLC指纹图谱鉴别葶苈子与车前子[J].中国中药杂志,2015,40(2):275-279.
[2]ZHANG L X,ZHANG W.Resolving co-eluting chromatographic patterns by means of dissimilarity analysis in iterative target transformation factor analysis[J].Chromatogr A,2011,1218(40):7219-7225.
[3]FUKUNAGA K.Introduction to statistical pattern recognition[M].New York:Academic Press,2013.
[4]顾志荣,师富贵,金岩.化学模式识别在中药分析中的应用研究[J].甘肃中医学院学报,2014,31(3):108-111.
[5]国家药典委员会.中华人民共和国药典:一部[M].北京:中国医药科技出版社,2015:65.
[6]韩燕全,洪燕,夏伦祝,等.姜炭超高效液相色谱指纹图谱研究[J].安徽中医药大学学报,2016,35(1):86-89.
[7]韩燕全,洪燕,夏伦祝,等.UPLC指纹图谱技术结合毒性成分含量优选苍耳子的炮制工艺[J].中国中药杂志,2014,39(7):1248-1254.
[8]夏伯候,严东,曹艺,等.不同剂型夏桑菊颗粒HPLC指纹图谱及其模式识别分析[J].中国中药杂志,2016,41(3):416-420.
[9]周喜丹,唐力英,周国洪,等.HPLC指纹图谱鉴别葶苈子与车前子[J].中国中药杂志,2015,40(2):275-279.