Liu Yan, Zhang Gui-Jun, Sun Su-Qin, Noda Isao
School of Chinese Pharmacology, Beijing University of Chinese Medicine, Beijing 100102, China.
J Pharm Biomed Anal. 2010 Aug 1;52(4):631-5. doi: 10.1016/j.jpba.2010.01.045. Epub 2010 Feb 4.
As complicated mixture systems, traditional Chinese medicines (TCM) are very difficult to identify and discriminate, especially for the drug samples have the same source. Therefore, finding a rapid and effective identification method for the similar TCM is the most pressing task in TCM research. In this paper, the macroscopic IR fingerprint method including Fourier transform infrared spectroscopy (FT-IR), the second derivative spectra and two-dimensional correlation infrared spectroscopy (2D-IR), were applied to studying and identifying three very similar traditional Chinese animal drugs Cornu Cervi Pantotrichum (CCP), Cornu Cervi (CC) and Cornu Cervi Degelatinatum (CCD). On the basis of the different FT-IR and 2D-IR spectra ratios of amide I bands, amide II bands and Ca(3)(PO(4))(2), three similar animal drugs of the same source were successfully identified and discriminated. Then the FT-IR spectra data of total 30 samples, comprising 10 samples each of above three drugs, were obtained and analyzed with the soft independent modeling of class analogy (SIMCA) pattern recognition technique. The result showed that the three kinds of drug samples located in three different clusters separately. As a result, it was demonstrated that the macroscopic IR fingerprint method could discriminate the three similar TCM, CCP, CC and CCD, rapidly, effectively and non-destructively.
作为复杂的混合体系,中药很难鉴别区分,尤其是对于来源相同的药材样本。因此,寻找一种快速有效的相似中药鉴别方法是中药研究中最为紧迫的任务。本文采用宏观红外指纹图谱法,包括傅里叶变换红外光谱(FT-IR)、二阶导数光谱和二维相关红外光谱(2D-IR),对三种极为相似的传统动物类中药鹿茸(CCP)、鹿角(CC)和鹿角霜(CCD)进行研究与鉴别。基于酰胺I带、酰胺II带和磷酸钙(Ca(3)(PO(4))(2))的不同FT-IR和2D-IR光谱比值,成功鉴别区分了三种来源相同的相似动物类中药。然后获取了上述三种药材各10个样本共30个样本的FT-IR光谱数据,并采用类独立软模式建模(SIMCA)模式识别技术进行分析。结果表明,三种药材样本分别位于三个不同的聚类中。结果表明,宏观红外指纹图谱法能够快速、有效且无损地鉴别区分三种相似中药,即鹿茸、鹿角和鹿角霜。