基于荧光光谱及矩阵分析的植物油鉴别技术

Application of Fluorescence Spectra and Matrix Analysis in the Classification of Edible Vegetable Oils

利用FS920荧光光谱仪测量42个油样（包括36个纯植物油样,3个调和油样和3个混合油样）的荧光光谱,并对其数据矩阵（EEMs）进行归一化处理,确定了植物油特征激发波长及矩阵分析模型。综合分析植物油在特定范围内（激发波长为250～550 nm,发射波长为260～750 nm）的等高线光谱图和特征发射谱线图,将植物油划分为三类;将矩阵分析模型应用于纯植物油鉴别,分类正确率100%;为验证矩阵分析的定量判别能力,对三种混合油样进行分析,得到接近实际配比的分析结果;对市售三种调和油样本进行分析,得出调和油以大豆和菜籽油为基底的结论。通过对植物油荧光光谱的图谱特征和其矩阵模型的分析,证实荧光光谱技术和矩阵分析法对植物油进行分析和种类鉴别的有效性。

The fluorescence spectra of 42 vegetable oil samples are measured with FS920 fluorescence spectrometer ,including 36 pure vegetable oil samples ,3 blend oil samples and 3 mixed oil samples .The fluorescence matrixs （EEMs） are normalized to de-termine representative excitation wavelength and matrix analysis model of vegetable oils .Vegetable oils are divided into three categories by analyzing representative emission spectra and contour maps in the range of emission wavelength from 260 to 750 nm ,and excitation wavelengths from 250 to 550 nm .Applying matrix analysis model to identify pure vegetable oils ,blend oils and mixed oils ,the correct classification rate is 100% for pure vegetable oils ,the composition is close to actual for mixed oils , and the conclusion of soybean and rapeseed oil as base for blend oils is reached .The results demonstrate the capability of the combination of fluorescence spectra technology and matrix analysis model for differentiating and characterizing vegetable oils .