【摘要】 基于傅里叶变换红外光谱技术,结合光谱检索的方法进行金银花(Lonicera japonica Thunb.)产地鉴别研究。测试了4个省、6个种植区共130份金银花样本的红外光谱,利用Omnic 8.2软件建立了由各类样品的平均红外光谱、一阶导数平均谱和二阶导数平均谱组成的光谱库。比较了基于不同算法、不同波数范围和不同类型光谱数据建立的模型检索鉴别结果表明,基于1 500~1 200 cm-1波数范围的二阶导数光谱数据的绝对微分差算法检索的鉴别效果相对较好。有119个样品的光谱检索匹配得分最高值对映的光谱为自身所在类别,占样品总数的91.5%。红外光谱结合光谱检索的方法是金银花产地鉴别的一种简便、快捷方法。更多还原

【Abstract】 Fourier transform infrared Spectroscopy(FTIR) was used to identify the origin of honeysuckle. The infrared spectra of 130 samples from 6 growing areas in 4 provinces were collected, and the first-derivate spectra and second-derivate spectra were taken by the software Omnic 8.2,and 3 spectra libraries were constructed. The correlation search, square differential search, absolute differential search and expert search of the spectra, the first-derivate spectra and second-derivate spectra for all samples are performed with corresponding library in different spectrum range, severally. The recognition effect were compared, and found that the model based on absolute differential reach of second-derivate spectra in the specified range of1 500 ~1 200 cm-1 get a better identification effect, with the correct rate of 91.5%. The results showed that FTIR combined with the spectral retrieval method can be an effective and easy way for distinguishing the origin of honeysuckle herb.更多还原