中文摘要：

应用傅里叶变换红外光谱（FTIR）法测定了栽培和野生肉苁蓉，以450～2 000 cm-1范围内的吸收峰吸光度为指标，以红外光谱图为对象，应用SMICA聚类分析（Cluster analysis）法对栽培和野生肉苁蓉进行了聚类分析。结果表明，红外光谱结合聚类分析技术可对不同来源的肉苁蓉进行鉴别，识别率和拒绝率达到90%以上，盲样检测的准确率也在95%以上。因此，红外光谱与聚类分析法相结合可以快速、无损识别中药材。

英文摘要：

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.