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Detection of extra virgin olive oil adulteration using Fourier transform infrared, synchronous fluorescence spectroscopy and multivariate analysis

机译:使用傅里叶变换红外光谱,同步荧光光谱和多元分析检测特级初榨橄榄油的掺假

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This research describes an appropriate method for determining the adulteration of extra virgin olive oil (EVOO) with sunflower oil (SO) and pomace olive oil (POO), Three different methods are combined: Fourier transform infrared (FTIR), synchronous scanning fluorescence (SynFS) spectroscopic techniques, and chemometrics analysis. The measurements were made on pure vegetable oils: EVOO, POO, SO which were adulterated with a varying concentration of adulterant agent. The performance of the model was evaluated by the coefficient of determination (R-2) and the root mean square error of cross validation (RMSECV). The quantification of SO in EVOO was obtained from different botanical origin. Therefore, the normalization concerning normal, first and second derivative FTIR spectral analyses were needed for a suitable technique of calibration. Knowing that EVOO and POO oils have the same botanical origin, SynFS was required as an additional technique to FTIR in order to determine POO models. The methodology presented in this study stands as a useful tool for analyzing and detecting adulteration of extra virgin olive oil with pomace olive or sunflower oil.
机译:这项研究描述了一种用于确定特级初榨橄榄油(EVOO)与葵花籽油(SO)和果渣橄榄油(POO)掺假的合适方法,结合了三种不同的方法:傅里叶变换红外(FTIR),同步扫描荧光(SynFS) )光谱技术和化学计量学分析。测量是在纯植物油:EVOO,POO,SO上进行掺假,并掺入不同浓度的掺假剂。通过确定系数(R-2)和交叉验证的均方根误差(RMSECV)评估模型的性能。 EVOO中的SO定量来自不同的植物来源。因此,需要使用有关正常,一阶和二阶FTIR光谱分析的归一化方法来进行合适的校准。知道EVOO和POO油具有相同的植物起源,因此需要SynFS作为FTIR的附加技术来确定POO模型。本研究中介绍的方法学是分析和检测特级初榨橄榄油与果渣橄榄油或葵花籽油掺假的有用工具。

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