Discrimination of Adulterated Sesame Oil Using Mid-infrared Spectroscopy and Chemometrics

Abstract

There is usually some fake sesame oil in Chinese market that mixes sesame oil flavor into other kinds of edible oils to cheat customers, but it is hard to discriminate. A new analytical method based on directly mid-infrared spectroscopy combined with chemometrics was studied for identifying adulterated sesame oil in this study. We analyzed the spectral characteristics of sesame oil, three kinds of edible oils, and sesame oil flavor and found that there are obvious spectral differences between them. Through principal component analysis (PCA) method, the pure sesame oil and other edible oils that mixed with sesame oil flavor can be obviously classified. To further demonstrate the ability of infrared spectroscopy to discriminate fake sesame oil, we established independent modeling of class analogy (SIMCA) and partial least square discriminate analysis (PLS-DA) model and found there are effective for discrimination. We also studied the spectral changes with different adulteration rates of sesame oil flavor and found that the absorption peak at 1055–1025 cm−1 was weakened and shifted with the increase in the concentration of sesame oil flavor.