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[多元图像与化学计量学在人工牛黄薄层色谱指纹图谱中的分析]

[The analysis of multivariate image and chemometrics in TLC fingerprinting of artificial cow-bezoar].

作者信息

Yao Ling-Wen, Shi Yan, Sun Dong-Mei, Cheng Xian-Long, Wei Feng, Ma Shuang-Cheng

机构信息

National Institutes for Food and Drug Control, Beijing 100050, China.

Jilin Institute for Food and Drug Control, Jilin 132001, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2017 Jun;42(11):2117-2122. doi: 10.19540/j.cnki.cjcmm.20170223.026.

DOI:10.19540/j.cnki.cjcmm.20170223.026
PMID:28822157
Abstract

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.

摘要

建立了一种人工牛黄的薄层指纹图谱方法,展开剂为环己烷、乙酸乙酯、乙酸和甲醇(2∶7∶1∶2),显色剂为喷以10%硫酸乙醇溶液,105℃加热后,于366nm紫外光下记录薄层色谱图像并转换为灰度图。通过从灰度图中提取的灰度值,可采用化学计量学方法分析样品薄层色谱得到的多变量数据。结果表明,该方法可区分不同厂家的样品,并找出一些特征斑点。总之,这种简单实用的方法适用于质量差异评价。

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