为了探求建立快速鉴别两面针产地的方法,基于傅里叶变换红外光谱(FTIR)技术,选取1 800～400 cm-1红外指纹图谱带,采用Fisher比值法和SIMCA聚类分析法建立产地分类模型,分别对广西区内四个产地的两而针进行鉴别,并通过计算识别率与拒绝率来验证模型.结果表明,红外光谱技术不但能准确提取中药材的整体信息,并且基于红外光谱建立起的两种模式识别模型对未知样品进行预测,识别率和拒绝率均达到90 ％以上,说明所建模型具有较强的识别能力.通过白编计算程序以及现有统计软件,还可以将模式识别模型实现实时在线化检测与快速样品鉴别,大大提高了鉴别速度而更具应用价值.%In the present work, the authors explored a rapid method of the Zanthoxylum nitidum geographical origins determination. Based on Fourier transform infrared spectroscopy (FTIR) technology, the band of 1 800～400 cm-1 which is the IR fingerprint of Zanthoxylum nitidum, the Fisher ratio and the soft independent modeling of class analogies (SIMCA) were used to build a classification model. Respectively, four kinds of Zanthoxylum nitidum in the Guangxi region were detected by the model, and the model was verified by calculating their recognition rate and rejection rate. The results show that the authors can accurately extract the overall information of Chinese herbal medicines by using the FTIR, also established a pattern recognition model to predict unknown samples, and obtained satisfactory recognition rate and rejection rate, indicating that the model has stronger ability of identification. The detection on real time was carried out rapidly with the Fisher model, suggesting that the model has more practical value.
展开▼
