中国中药杂志

2017, v.42(11) 2117-2122

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人工牛黄薄层指纹图谱多元图像分析及化学计量学研究
The analysis of multivariate image and chemometrics in TLC fingerprinting of artificial cow-bezoar

姚令文;石岩;孙冬梅;程显隆;魏锋;马双成;
YAO Ling-wen;SHI Yan;SUN Dong-mei;CHENG Xian-long;WEI Feng;MA Shuang-cheng;National Institutes for Food and Drug Control;Jilin Institute for Food and Drug Control;

摘要(Abstract):

建立了人工牛黄薄层指纹图谱,对其图像进行数字化和化学计量学研究。首先采用以环己烷-乙酸乙酯-乙酸-甲醇(2∶7∶1∶2)为展开剂,10%硫酸乙醇溶液为显色剂,105℃加热至斑点清晰,并在366 nm下采集数码图像。然后将该图像转换成为灰度图像,得到指纹图谱的灰度曲线图多元数据,并采用主成分分析法对多元数据进行分析。结果表明薄层指纹图谱可表征不同生产企业生产的人工牛黄,并且分析得到图谱上表征来源的特征区域。该方法简便,快速,适合用于不同来源的人工牛黄质量差异的评价。
A method of thin-layer fingerprinting chromatogram of artificial cow-bezoar was established with the developing solvent consisting of cyclohexane,ethyl acetate,acetic acid and methanol( 2 ∶ 7 ∶ 1 ∶ 2),and 10 % sulfuric acid ethanol solution sprayed as colour-developing agent. After heated at 105 ℃,TLC was recorded as an image in ultraviolet light at 366 nm which was converted into grayscale. By the gray value extracted from the grayscale,the multivariate data obtained from TLC of samples could be analyzed by chemometric method. The results indicated that samples from different manufacturers could be distinguished by this method and some specific bands were found out. All in one,this simple and practical method was suitable for the evaluation of quality difference.

关键词(KeyWords): 人工牛黄;薄层色谱;指纹图谱;胆汁酸;化学计量学;主成分分析
artificial cow-bezoar;TLC;fingerprinting;bile acids;chemometrics;principle component analysis

Abstract:

Keywords:

基金项目(Foundation): 国家“重大新药创制”科技重大专项(2014ZX09304307-002)

作者(Author): 姚令文;石岩;孙冬梅;程显隆;魏锋;马双成;
YAO Ling-wen;SHI Yan;SUN Dong-mei;CHENG Xian-long;WEI Feng;MA Shuang-cheng;National Institutes for Food and Drug Control;Jilin Institute for Food and Drug Control;

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DOI: 10.19540/j.cnki.cjcmm.20170223.026

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