CAJ | 학술논문

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。
이용FS920형광광보의측량시수적팔충식물유（대두유、옥미유、감람유、도미유、화생유、핵도유、규화자유화지마유）공22개양품적형광광보，병대기수거구진（EEMs）진행평행인자분석，결합형광보분석적직관물질표정화평행인자법대회색체계적조분식별우세，실현료식물유적충류구분여감별。종합분석식물유재특정범위내（격발파장위250～550 nm，발사파장위260～750 nm）적삼유형광광보화등고선광보도，급출료각식물유봉위、봉수화봉강등특정신식，학정료식물유각형광보봉상응적형광물질（불포화지방산류、유생소E급기연생물、협록소급류호라복소）；장평행인자모형응용우식물유광보수거구진적분석，학정료평행인자분석모형적인자수급각인자적물질기출（유생소E급기연생물、아유산화아마산、지방산양화산물、식물유양화산물）。건립료식물유적4인자격발-발사광보륜곽도화양품인자투영득분도。통과대식물유형광광보적도보특정화기수거진평행인자모형적분석，증실형광광보기술화평행인자분석법대식물유진행분석화충류감별적유효성。
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.