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七种不同产地仙鹤草原药材及提取物的红外光谱与二维相关红外光谱的分析与鉴定
作者姓名:Wu XD  Jin ZX  Sun SQ  Jin R  Wan CL
摘    要:采用红外光谱、二阶导数红外光谱以及二维相关红外光谱,对七种不同产地的仙鹤草原药材及其总鞣酸提取物进行了鉴别分析。仙鹤草原药材的红外光谱中出现了1 151,1 101,1 032 cm-1的淀粉特征峰,同时还出现了1 618,1 318,780 cm-1的草酸钙特征峰,说明在原药材粉末中同时有淀粉和草酸钙存在。原药材丙酮提取物中所含淀粉等基本成分大为减少,而总鞣酸等有效成分的相对含量增加,因此不同产地仙鹤草丙酮提取物的红外光谱中均出现1 711与1 447 cm-1的鞣酸特征峰。应用红外光谱、二阶导数红外光谱以及二维相关红外光谱技术,不仅可以提供仙鹤草主要化学成分的相关信息,还可以对不同产地的仙鹤草药材进行很好的区分。因此红外光谱法是考察中药资源的一种快速、准确、有效的方法。

关 键 词:仙鹤草  红外光谱  二阶导数谱  二维相关光谱

Discrimination of seven species of Agrimonia pilosa Ledeb and its extracts by FTIR and 2D-IR
Wu XD,Jin ZX,Sun SQ,Jin R,Wan CL.Discrimination of seven species of Agrimonia pilosa Ledeb and its extracts by FTIR and 2D-IR[J].Spectroscopy and Spectral Analysis,2010,30(12):3222-3227.
Authors:Wu Xiao-Dan  Jin Zhe-Xiong  Sun Su-Qin  Jin Rui  Wan Chun-Lei
Institution:Key Laboratory of Forest Plant Ecology Ministry of Education, Northeast Forestry University, Harbin 150040, China. smile_200325@163.com
Abstract:The objective of the present study is to discriminate seven species of Agrimonia pilosa Ledeb herbs and their total tannin extracts by Fourier transform infrared spectroscopy (FTIR), second derivative infrared spectroscopy, and two-dimensional correlation infrared spectroscopy (2D-IR) under thermal perturbation. The structural information of the samples indicated that Agrimonia pilosa Ledeb and their extract residues contain a large amount of starch and calcium oxalate, since some characteristic absorption peaks of the starch, such as 1 151, 1 101, 1 032 and 988 cm(-1) can be observed; and some characteristic absorption peaks of the calcium oxalate, such as 1 618, 1 318 and 780 cm(-1), can be observed. Further more, the characteristic absorption peaks of the sulfate which arouse at 1 711 and 1 447 cm(-1) in the IR spectra of Agrimonia pilosa Ledeb acetone extracts can be found. The macroscopical fingerprint characters of FTIR and 2D-IR spectra can not only provide the information of main chemical constituents in medicinal materials and their different extracts, but also compare the components differences among the similar samples. In conclusion, the multi-steps IR macro-fingerprint method is rapid, effective, visual and accurate for pharmaceutical research.
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