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三维同步荧光光谱结合主成分分析用于天麻的鉴别

Discrimination of Rhizoma Gastrodiae (Tianma) using 3D synchronous fluorescence spectroscopy coupled with principal component analysis.

作者信息

Fan Qimeng, Chen Chaoyin, Huang Zaiqiang, Zhang Chunmei, Liang Pengjuan, Zhao Shenglan

机构信息

Faculty of Chinese Traditional Medicine, Yunnan University of Traditional Chinese Medicine, Yunnan 650500, PR China.

Faculty of Life Science and Technology, Kunming University of Science and Technology, Yunnan 650500, PR China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2015 Feb 5;136 Pt C:1621-5. doi: 10.1016/j.saa.2014.10.056. Epub 2014 Oct 28.

DOI:10.1016/j.saa.2014.10.056
PMID:25459724
Abstract

Rhizoma Gastrodiae (Tianma) of different variants and different geographical origins has vital difference in quality and physiological efficacy. This paper focused on the classification and identification of Tianma of six types (two variants from three different geographical origins) using three dimensional synchronous fluorescence spectroscopy (3D-SFS) coupled with principal component analysis (PCA). 3D-SF spectra of aqueous extracts, which were obtained from Tianma of the six types, were measured by a LS-50B luminescence spectrofluorometer. The experimental results showed that the characteristic fluorescent spectral regions of the 3D-SF spectra were similar, while the intensities of characteristic regions are different significantly. Coupled these differences in peak intensities with PCA, Tianma of six types could be discriminated successfully. In conclusion, 3D-SFS coupled with PCA, which has such advantages as effective, specific, rapid, non-polluting, has an edge for discrimination of the similar Chinese herbal medicine. And the proposed methodology is a useful tool to classify and identify Tianma of different variants and different geographical origins.

摘要

不同变种及不同地理来源的天麻在品质和生理功效上存在显著差异。本文聚焦于运用三维同步荧光光谱法(3D-SFS)结合主成分分析(PCA)对六种类型(来自三个不同地理来源的两个变种)的天麻进行分类和鉴别。通过LS-50B发光分光荧光计测量了六种类型天麻水提取物的3D-SF光谱。实验结果表明,3D-SF光谱的特征荧光光谱区域相似,但特征区域的强度差异显著。将这些峰强度差异与PCA相结合,六种类型的天麻能够被成功鉴别。总之,3D-SFS结合PCA具有有效、特异、快速、无污染等优点,在鉴别相似中药材方面具有优势。所提出的方法是对不同变种及不同地理来源天麻进行分类和鉴别的有用工具。

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