Rapid determination method for content of binary adulterated sesame oil based on near-infrared spectroscopy

The invention provides a rapid determination method for the content of binary adulterated sesame oil based on a near-infrared spectroscopy. The near-infrared spectroscopy is combined with a partial least-squares (PLS) regression method to realize rapid, lossless and accurate determination of the binary adulterated sesame oil. The rapid determination method comprises the following specific steps: preparing a binary adulterated sesame oil sample according to a certain ratio; collecting a near infrared spectrum of the sample; dividing near infrared spectrum data into a training set and a predication set by adopting a KS grouping method; establishing a quantitative correction model of the component content of the sample by using the partial least-squares regression method; and accurately predicating the component content of an unknown sample according to the established correction model. The rapid determination method has the advantages that the sample does not need to be subjected to any pretreatment; the near-infrared spectroscopy is adopted so that the sample can be tested within several seconds; and meanwhile, the PLS method is adopted so that intelligent determination of the component content can be realized without any prior knowledge. The rapid determination method is applicable to the field of quality control of the sesame oil.