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刊物信息

期刊名称:药物分析杂志
主管单位:中国科学技术协会
主办单位:中国药学会
承办:中国食品药品检定研究院
主编:金少鸿
地址:北京天坛西里2号
邮政编码:100050
电话:010-67012819,67058427
电子邮箱:ywfx@nicpbp.org.cn
国际标准刊号:ISSN 0254-1793
国内统一刊号:CN 11-2224/R
邮发代号:2-237
 

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人工栽培与野生白及化学成分差异的多元统计分析

Multivariate statistical analysis of chemical diversity between cultivated and wild Bletilla striata

分类号:R917
出版年·卷·期(页码):2020,40 (6):1045-1049
DOI: 10.16155/j.0254-1793.2017.01.01
-----摘要:-------------------------------------------------------------------------------------------

目的: 通过对人工栽培与野生白及进行的主成分含量测定、特征图谱与PLS-DA相结合的多元统计分析,揭示了两者之间的化学成分存在差异。方法: 采用Thermo Hypersil Gold Aq色谱柱(4.6 mm×250 mm,5 μm),以乙腈为流动相A,0.05%磷酸水溶液为流动相B,梯度洗脱,流速1.0 mL·min-1,柱温30℃,检测波长为280 nm,进样量20 μL。对白及的主要成分四裂红门兰素进行含量测定,并建立其特征图谱,通过ChemPattern软件确立共有峰,将共有峰面积信息导入Simca-P软件进行多元统计分析。结果: 人工栽培白及的四裂红门兰素含量高于野生,通过特征图谱确定7个共有峰,在PLS-DA得分图第一主成分上两者能够明显区分开。结论: 人工栽培与野生白及存在化学成分的差异,并且能通过多元统计分析加以区分。

-----英文摘要:---------------------------------------------------------------------------------------

Objective: To reveal the different chemical components between the cultivated and wild Bletillae Rhizoma,the principal component analysis,characteristic chromatogram and PLS-DA coupled with multivariate statistical analysis were conducted. Methods: Separation was performed on a Thermo Hypersil Gold Aq (4.6 mm×250 mm,5 μm)column with gradient elution of acetonitrile and 0.05% phosphate acid at a flow rate of 1.0 mL·min-1. The column temperature was 30℃ and the injection volume was 20 μL. Common peaks were analyzed by ChemPattern software,and the multivariate statistical analysis of common peak area was performed by Simca-P. Results: The results showed that the contents of militarine in cultivated Bletillae Rhizoma were higher than those of the wild group. In the characteristic chromatogram,7 common peaks were confirmed. In the PLS-DA score plot,the cultivated Bletillae Rhizoma could be clearly separated from wild group in the PC1 direction. Conclusion: Our findings reveal the obvious differences of chemical components among the cultivated and wild Bletillae Rhizoma,which can be distinguished by multivariate statistical analysis.

-----参考文献:---------------------------------------------------------------------------------------
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