荧光光谱及平行因子分析法在植物油鉴别中的应用  

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

作　　者：吴希军[1] 潘钊[1] 赵彦鹏[1] 刘海龙[1] 郑龙江[1] 

机构地区：[1]燕山大学测试计量技术及仪器河北省重点实验室,河北秦皇岛066004

出　　处：《光谱学与光谱分析》2014年第8期2137-2142,共6页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(61007005;61201110);河北省自然科学基金项目(F201103022;C2014203212);河北省教育厅优秀青年基金项目(Y2012030);教育部高等学校博士学科点专项科研基金项目(20111333120009);燕山大学博士基金项目(B546);燕山大学青年教师自主研究计划课题(13LGB013;13LGB032)资助

摘　　要：利用FS920荧光光谱仪测量市售的八种植物油（大豆油、玉米油、橄榄油、稻米油、花生油、核桃油、葵花籽油和芝麻油）共22个样品的荧光光谱，并对其数据矩阵（EEMs）进行平行因子分析，结合荧光谱分析的直观物质表征和平行因子法对灰色体系的组分识别优势，实现了植物油的种类区分与鉴别。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）的三维荧光光谱和等高线光谱图，给出了各植物油峰位、峰数和峰强等特征信息，确定了植物油各荧光谱峰相应的荧光物质（不饱和脂肪酸类、维生素E及其衍生物、叶绿素及类胡萝卜素）；将平行因子模型应用于植物油光谱数据矩阵的分析，确定了平行因子分析模型的因子数及各因子的物质基础（维生素E及其衍生物、亚油酸和亚麻酸、脂肪酸氧化产物、植物油氧化产物）。建立了植物油的4因子激发-发射光谱轮廓图和样品因子投影得分图。通过对植物油荧光光谱的图谱特征和其数据阵平行因子模型的分析，证实荧光光谱技术和平行因子分析法对植物油进行分析和种类鉴别的有效性。The fluorescence spectra of 22 samples of 8 kinds of edible vegetable oils （soybean oil,maize oil,olive oil,rice oil, peanut oil,walnut oil,sunflower oil and sesame oil）were measured with FS920 fluorescence spectrometer and the fluorescence matrixs （EEMs）were analyzed with parallel factor （PARAFAC）analysis model.To synthesize the capabilities of material char-acterization and component identification,fluorescence spectra combined with PARAFAC fulfill the classification of vegetable oils .The map feature （peak position,peak value and peak number）was obtained by analyzing three dimensional spectra and con-tour maps in the range of emission wavelength from 260 to 750 nm,and excitation wavelengths from 250 to 550 nm.The fluo-rescent substances （unsaturated fatty acids,vitamin E and its derivatives,chlorophyll and carotenoid）corresponding to spectrum peaks were determined.The factor-number was selected and the components （vitamin E and its derivatives,linoleic acid and lin-olenic acid,fatty acid oxidation products,vegetable oil oxidation products）corresponding to each factor were ascertained.The four-factor excitation and emission profiles and projection score plots of PARAFAC model were plotted.Different vegetable oils can be characterized and distinguished with the map features of fluorescence spectra and sample proj ection plots of PARAFAC model.The results demonstrate the capability of the combination of fluorescence spectra technology and four-factor PARAFAC model for differentiating and characterizing vegetable oils.

关 键 词：三维荧光光谱 平行因子分析 植物油 鉴别 

分 类 号：O657.3[理学—分析化学]