The issue of edible oil quality is a serious food safety hazard worldwide, posing a direct threat to public health.Based on this, research on edible oil identification technology using three-dimensional fluorescence spectroscopy combined with MPCA-LDA was conducted in this paper.Firstly, the FS920 fluorescence equi-jec 6 spectrometer was used to determine the three-dimensional fluorescence spectrum data of three types of sesame oil with different qualities.Then, the main mode features of the three-dimensional fluorescence spectrum were extracted using MPCA.
Finally, an identification model for 2006 nissan altima radio experimental samples was established using LDA.The research shows that MPCA-LDA exhibits higher accuracy and sensitivity compared to the NPLS-DA method, enabling it to identify adulterated and copyright sesame oil with 100% accuracy.The MPCA-LDA methods can effectively identify adulterated and inferior edible oils, thereby helping to ensure food safety and consumer health.