三维荧光光谱结合平行因子算法测定两种食品色素的含量

应用英国Edinburgh FLS920P稳态和时间分辨荧光光谱仪测量了12个混合色素样本的三维荧光光谱，将得到的三维荧光光谱数据矩阵(EEMS)与平行因子算法相结合，来建立一种检测食品色素的方法。实验中，使用核一致诊断法(CORCONDIA)确定了混合溶液的组分数为3，然后利用平行因子分析法(PARAFAC)，得到胭脂红、诱惑红的平均回收率分别为(99.3%±5.0%)和(102.2%±5.6%)，且预测均方根误差(RESEP)分别为(0.054)和(0.205)。结果表明，该法可在干扰物质苋菜红存在的情况下，对混合溶液中胭脂红、诱惑红二种色素同时定量测定，具有简便、快速等优点，可为合成食品色素的检测提供借鉴。

Quantitative Analysis of Two Food Colors Using Excitation-Emission Matrix Spectra Coupled with Parallel Factor Algorithm

In the present paper, British Edinburgh FLS920P Steady State and Time-Resolved Fluorescence Spectrometer was applied to measure three dimensional fluorescence spectra of 12 pigment solution samples and the parallel factor algorithm was combined with the excitation-emission matrix to find a way to detect the food colors. In the experiment, making use of CORCONDIA determination method to confirm that the number of the components is 3 in mixed solution, and then by using parallel factor analysis (PARAFAC) algorithms,get the average recoveries of carminum and Allura red were 99.3%±5.0% and 102.2%±5.6%, and the root mean square errors of prediction (RMSEP) were 0.054 and 0.205, respectively。The results show that the method can be applied to determine carminum and Allura red in the mixed solution simultaneously even in the presence of interfering amaranth, which was simple and convenient, rapid, etc, and provides references for synthetic food pigments detection.