A Preprocessing Algorithm of Corn Infrared Spectrum Based on MSC and DOSC

To characteristics the near infrared spectrum of corn, we proposed a preprocessing algorithm combining multiplicative scatter correction (MSC) and direct orthogonal signal correction (DOSC). In this article, we compared the SG first derivative correction, MSC, DOSC and the new algorithm. And using partial least squares analysis (PLS) built the quantitative analysis model. The results show that the preprocessing algorithm combining with the MSC and DOSC can improve the prediction accuracy of all components. This work has some practical and scientific value.