Xu Rong, Sun Su-Qin, Liu You-Gang, Yu Jing, Zhou Feng, Liu Tong-Ning, Chen Jun, Chen Shi-Lin
Endangered TCM Propagation and Breeding National Engineering Laboratory, The Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Jul;29(7):1860-3.
Cistanche deserticola, an endemic species in China, has been one of the grade II national key conservation rare and endangered plants. The spectra of cultivated and wild C. deserticola samples were determined by Fourier transform infrared (FTIR) spectrometry. Based on the fingerprint infrared spectrum from 450 to 2 000 cm(-1), C. deserticola samples were rapidly classfied and closely studied by using the method of clustering analysis. Results showed that although there were tiny differences between the spectra of different origin, including the wild and cultivated C. deserticola samples, these samples could be successfully classified by soft independent modeling of class analogy (SIMCA). Recognition rate and rejection rate of different C. deserticola samples were up to 90%. When testing with the blind sample which the authors picked out from the chosen samples, the accuracy of clustering reaches up to 95%. On the whole, combined with clustering analysis, FTIR provides a effective way to evaluate the origin of the Chinese medicines rapidly and undamagedly.
肉苁蓉是中国特有的物种,一直是国家二级重点保护珍稀濒危植物之一。采用傅里叶变换红外(FTIR)光谱法测定了栽培和野生肉苁蓉样品的光谱。基于450至2000 cm(-1)的指纹红外光谱,利用聚类分析方法对肉苁蓉样品进行了快速分类和深入研究。结果表明,虽然不同来源的光谱之间存在微小差异,包括野生和栽培的肉苁蓉样品,但这些样品可以通过类软独立建模(SIMCA)成功分类。不同肉苁蓉样品的识别率和拒识率高达90%。当用作者从所选样品中挑选出的盲样进行测试时,聚类准确率达到95%。总体而言,结合聚类分析,FTIR为快速、无损地评估中药材的产地提供了一种有效的方法。