Analysis Of Adulteration Of Edible Oil Based On Spatial Angle Conversion

Conventional cooking oil detection methods can not quickly and effectively identify Adulterated Edible oil.Therefore,the effective rapid detection method is beneficial to the healthy development of the edible oil market,to ensure the safety of food,to protect the interests of the regular qualified edible oil production enterprises and to the legitimate rights and interests of the consumers.In this paper,the qualitative and quantitative analysis of adulteration of vegetable oil was completed based on spatial angle transformation combined with Raman spectroscopy and infrared spectroscopy.First,the spatial angle conversion principle algorithm combined with infrared spectroscopy,based on the multi producing self squeezing tea oil,is used to calculate the spatial angle values of various different brands of City purchase and self squeezing tea oil,to compare the spatial angle values between different oil samples,to explore the approximate degree of different oil samples,and to complete different species.Qualitative identification and analysis of oil like samples.The self squeezed tea oil of a certain area was selected as the material to be analyzed,and the vegetable edible oil was selected as the non homologous seed of the oil sample to be measured.According to the different set volume ratio,the Adulterated Edible oil samples of two components and multiple components were simulated artificially,and the spatial angle value was calculated,and the oil samples were finished with double components and multiple components.The spatial angle value and the empirical formula of the percentage content are fitted,and the verification samples are randomly selected and the quantitative analysis of the components to be analyzed is completed.The absolute error of the double component quantitative analysis is less than 1.763%,and the absolute error in the multi component quantitative analysis sample is overall.Less than 4.554%.Based on the background of multi producing self squeezing tea oil,the spatial angle value of food oil from different brands of tea oil and different grain sources was calculated by combining the spatial angle transformation principle algorithm and Raman spectroscopy.The angle value of different oil samples and the angle value of multi component adulterated oil samples were compared,and indirect exploration was carried out.The approximate degree of the components of different oil samples can be identified by qualitative analysis of different kinds of oil samples.In the same way,the self selected tea oil from a certain area is selected as the analytical substance.The edible vegetable oil was selected from the same kind of seed as the oil sample to be tested.According to the different set volume distribution ratio,the Adulterated Edible oil of two components and multiple components is simulated and the spatial angle value is calculated.The fitting of the empirical formula of the spatial angle value and the percentage content of the oil samples to be measured by the infrared spectrum and the multiple components of the infrared spectrum is completed.The sample was verified by random equi tion,and the prediction of the components to be tested was completed.In the quantitative analysis of two components,the empirical formula can satisfy the correlation coefficient test with a confidence level of 0.001.The absolute error of the sample is 0.006-4.411,and the relative error is 0.008% to 7.352%.From the multi component quantitative analysis,the minimum error absolute error of the set prediction is only 0.118,and the relative error is only 0.013%.The maximum relative error is 14.427%.In general,the content of the sample to be measured can be predicted.We also completed the prediction of the oil samples to be purchased for different brands of camellia oil.