The invention belongs to the technical field of
feed quality detection, and particularly relates to a method for detecting the
fatty acid value of corn by using a near-
infrared technology. The method for detecting the
fatty acid value of the corn by utilizing the near-
infrared technology comprises the following steps: S1, collecting spectral information of a corn sample and measuring a chemical value of the
fatty acid value: collecting the corn sample, pre-treating the corn sample, performing near-
infrared spectrum scanning on the treated corn sample, and collecting near-infrared spectrum information of the corn sample; detecting a fatty
acid value result, namely a chemical value, of the corn sample by adopting a chemical method; the method for pretreating the corn sample comprises the following steps: removing impurities, crushing the corn sample subjected to
impurity removal, and passing through a screen with the aperture of 0.3-0.5 mm; s2, spectrum
processing of the corn sample and establishment of a calibration model: preprocessing near infrared spectrum information of the corn sample, and establishing the calibration model between a near infrared spectrum and a corn fatty
acid value by using a
chemometrics method; s3,
rapid detection of a to-be-detected corn sample: taking the to-be-detected corn sample, carrying out near infrared spectrum scanning, collecting near infrared spectrum information of the to-be-detected corn sample, and importing the near infrared spectrum information of the to-be-detected corn sample into the calibration model established in the step S2 to obtain a fatty
acid value result of the to-be-detected corn sample. According to the method, the detection efficiency can be remarkably improved, real-time monitoring is realized, and the quality of raw materials is guaranteed.