Li Bingning, Wang Haixia, Zhao Qiaojiao, Ouyang Jie, Wu Yanwen
Department of Food Science and Engineering, Beijing Key Laboratory of Forest Food Process and Safety, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China; Beijing Center for Physical and Chemical Analysis, Beijing 100089, China.
Department of Food Science and Engineering, Beijing Key Laboratory of Forest Food Process and Safety, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Food Chem. 2015 Aug 15;181:25-30. doi: 10.1016/j.foodchem.2015.02.079. Epub 2015 Feb 20.
Fourier transform infrared (FTIR) and fluorescence spectroscopy combined with soft independent modeling of class analogies (SIMCA) and partial least square (PLS) were used to detect the authenticity of walnut oil and adulteration amount of soybean oil in walnut oil. A SIMCA model of FTIR spectra could differentiate walnut oil and other oils into separate categories; the classification limit of soybean oil in walnut oil was 10%. Fluorescence spectroscopy could differentiate oil composition by the peak position and intensity of emission spectrum without multivariate analysis. The classification limit of soybean oil adulterated in walnut oil by fluorescence spectroscopy was below 5%. The deviation of the prediction model for fluorescence spectra was lower than that for FTIR spectra. Fluorescence spectroscopy was more applicable than FTIR in the adulteration detection of walnut oil, both from the determination limit and prediction deviation.
傅里叶变换红外光谱（FTIR）和荧光光谱结合类相关软独立建模（SIMCA）以及偏最小二乘法（PLS）用于检测核桃油的真伪以及核桃油中大豆油的掺假量。FTIR光谱的SIMCA模型可以将核桃油和其他油类区分到不同类别；核桃油中大豆油的分类限为10%。荧光光谱无需多变量分析，可通过发射光谱的峰位置和强度区分油的成分。荧光光谱法检测核桃油中掺假大豆油的分类限低于5%。荧光光谱预测模型的偏差低于FTIR光谱。从检测限和预测偏差来看，荧光光谱在核桃油掺假检测中比FTIR更适用。
