Synchronous front-face fluorescence spectroscopy for authentication of the adulteration of edible vegetable oil with refined used frying oil
Synchronous front-face fluorescence spectroscopy for authentication of the adulteration of edible vegetable oil with refined used frying oil
复制标题
同步正面荧光光谱法鉴别食用植物油与精炼废煎炸油的掺假
DOI：
10.1016/j.foodchem.2016.08.053
复制
发表时间：
2017-02-15
期刊：
影响因子：
8.8
通讯作者：
Wang, Hao
中科院分区：
文献类型：
--
作者：
Tan, Jin;Li, Rong;Wang, Hao
建立了同步荧光光谱法用于煎炸油（UFO）和食用植物油（EVO）的鉴别、UFO使用时间的估计以及EVO中掺有UFO的检测。偏最小二乘回归（PLSR）法可用于测定实验室制备的UFO的加热时间和EVO中是否掺杂UFO。为了模拟EVO掺杂UFO，对于每种油，制备掺杂量范围为1-50%的50个掺杂样品。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来评估预测能力。在最佳条件下，测定值与预测值的线性关系良好（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%。(C)2016爱思唯尔有限公司版权所有
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%. (C) 2016 Elsevier Ltd. All rights reserved.