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A portable LED-induced fluorescence system for quantitative detection of different kinds of vegetable oil adulteration

文献类型： 外文期刊

作者： Liu, QingHua 1 ; Zhang, Yifan 1 ; Wu, Meifeng 1 ; Li, Minmin 1 ; Tong, Litao 1 ; Yang, Huihui 1 ; Fan, Bei 1 ; Liu, Jun 4 ; Wang, Fengzhong 1 ; Li, Long 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Food Sci & Technol, Beijing 100193, Peoples R China

2.CAAS East Ctr Suzhou Agr Sci & Technol, Suzhou 215000, Peoples R China

3.Weifang Inst Food Sci & Proc Technol, Weifang 261000, Peoples R China

4.Shandong Yuwang Biotechnol Co Ltd, Dezhou 25300, Shandong, Peoples R China

关键词： Vegetable oils; Adulteration; Portable system; Normalized spectral ratio (NSR); Quantitative

期刊名称：JOURNAL OF FOOD COMPOSITION AND ANALYSIS （ 影响因子：4.6； 五年影响因子：4.6 ）

ISSN： 0889-1575

年卷期： 2025 年 137 卷

页码：

收录情况： SCI

摘要： This study developed a portable LED-induced fluorescence detection system for quantitative detection of various vegetable oil adulteration. Eight common vegetable oils and 14 different adulterated samples with adulteration concentrations ranging from 0 % to 50 % were prepared. Before quantitative analysis, different classification models were established for the determination of types of adulteration oil. The overall recognition accuracy was greater than 98 %. Furthermore, with a simple calculation, the proposed normalized spectral ratio (NSR) preprocessing method was used to eliminate the light scattering effects in the raw fluorescence spectra. In addition, the competitive adaptive reweighted sampling (CARS) method was used to select characteristic wavelengths. The final oil adulteration quantitative analysis model was NSR_CARS+PLS. The range of correlation coefficient (Rp) and root-mean-square-error (RMSEP) for the prediction datasets were 0.9548-0.9974 and 1.0265 %-5.0236 %, respectively.

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