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同步正面荧光光谱法用于鉴别食用植物油中掺入精炼废煎炸油的情况。

Synchronous front-face fluorescence spectroscopy for authentication of the adulteration of edible vegetable oil with refined used frying oil.

作者信息

Tan Jin, Li Rong, Jiang Zi-Tao, Tang Shu-Hua, Wang Ying, Shi Meng, Xiao Yi-Qian, Jia Bin, Lu Tian-Xiang, Wang Hao

机构信息

Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, People's Republic of China.

出版信息

Food Chem. 2017 Feb 15;217:274-280. doi: 10.1016/j.foodchem.2016.08.053. Epub 2016 Aug 20.

Abstract

Synchronous front-face fluorescence spectroscopy has been developed for the discrimination of used frying oil (UFO) from edible vegetable oil (EVO), the estimation of the using time of UFO, and the determination of the adulteration of EVO with UFO. Both the heating time of laboratory prepared UFO and the adulteration of EVO with UFO could be determined by partial least squares regression (PLSR). To simulate the EVO adulteration with UFO, for each kind of oil, fifty adulterated samples at the adulterant amounts range of 1-50% were prepared. PLSR was then adopted to build the model and both full (leave-one-out) cross-validation and external validation were performed to evaluate the predictive ability. Under the optimum condition, the plots of observed versus predicted values exhibited high linearity (R(2)>0.96). The root mean square error of cross-validation (RMSECV) and root mean square error of prediction (RMSEP) were both lower than 3%.

摘要

同步正面荧光光谱法已被开发用于区分使用过的煎炸油(UFO)和食用植物油(EVO),估计UFO的使用时间,以及测定EVO中UFO的掺假情况。通过偏最小二乘回归(PLSR)可以确定实验室制备的UFO的加热时间以及EVO中UFO的掺假情况。为了模拟EVO与UFO的掺假情况,对于每种油,制备了50个掺假量范围为1-50%的掺假样品。然后采用PLSR建立模型,并进行完全(留一法)交叉验证和外部验证以评估预测能力。在最佳条件下,观测值与预测值的曲线呈现出高线性(R(2)>0.96)。交叉验证的均方根误差(RMSECV)和预测的均方根误差(RMSEP)均低于3%。

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