三维荧光光谱结合Tchebichef矩快速鉴别掺伪芝麻油

应用FS920荧光光谱仪测定样品的三维荧光光谱数据，直接利用Tchebichef矩提取三维光谱灰度图的特征信息，然后对其进行聚类分析，最后通过逐步回归建立样本中各成分的线性模型。聚类分析能够准确识别掺伪芝麻油，并正确解析其组成成分，得到的线性模型相关系数R>0.99。研究表明，Tchebichef矩能够有效提取光谱的特征信息，应用于掺伪芝麻油鉴别可获得良好的定性和定量分析结果。

3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil

The three-dimensional fluorescence spectra of the samples were measured by FS920 fluorescence spectrometer, and the characteristic information of three-dimensional spectral grayscale was extracted directly by Tchebichef moments. And then, the cluster analysis was carried out. Finally, a linear model of each component in the sample was established by the stepwise regression. Clustering analysis can identify doping sesame oil with a high recognition rate and can correctly analyze its constituent components. R-squared of the obtained linear model is greater than 0.99. The results show that Tchebichef moments can effectively extract the characteristic information of the spectrum and can be used to identify the doping sesame oil and obtain good qualitative and quantitative analysis results.