Detection of Oxidation Degree of the Upper and Lower Layers for Edible Crude Oil in Tank by Electronic Nose Technology
Because of the difference in the oxidation of the upper,middle,and lower layers of the oil tank of rapeseed and soybean crude oil during storage,an electronic nose technology combined with stoichiometry is proposed to distinguish the oxidation of crude oil,which could provide technical reference for improving the storage measures.The feature samples are screened and classified,through electronic nose combined with partial least squares discrimination(PLS-DA),support vector machine(SVM),BP neural network(BPNN),and ar-tificial neural network(ANN),based on conventional physical and chemical analysis.The results show that the physical and chemical differences of the upper,middle,lower oils are not significant,and the middle and lower layers are highly similar,and the upper layer deteriorats slightly faster.The PLS-DA and BPNN model are not effective in classifying and identifying the oxidation degree of the upper and middle-lower mixed samples of soybean and rapeseed oil,but the accuracy of optimized model test set with SVM and ANN achieves 96.7%and 98.3%,respectively.Therefore,the electronic nose combined with ANN or SVM can effectively identify the upper and mid-dle-lower layers of soybean and rapeseed crude oils.
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