The Research On Paddy Storage Time Detected By Near Infrared Spectroscopy

Rice is one of the support of grain in our country, the quality of paddy can jnfluence the people's quality of living. In recent years, the events of aged rice occurs frequently. The institution of food safe has improved and the government has stepped up a crackdown on it, however, the safe of paddy has not perfect controlled. One of the prime reasons is that the traditional detection method of paddy is trouble, time consuming and complex operation. The near-infrared spectroscopy, characteristic by fast, losses, environment protection and simple operation, has developed fast in the past few years and it is widely used for agricultural products quality control recently. There is great practical significance if application it in control the paddy quality control.30kinds of paddy come from Hu Nan, Fu Jian, Jiang Xi, An Hui, Zhe Jiang and Hei Longjiang are taken as research objects. This paper investigates the quality change of paddy under natural storage conditions. A predict model of paddy storage time was established based on near infrared reflectance (NIRS) and chemometrics. The results showed that the fatty acid value of paddy increased during the storage while the content of amylase and protein present a descending tendency. In addition, And it is unsuitable to judge the storage time of paddy by its fatty acid for there was evident difference between different kind of paddy fatty acid content (including numerical differences and change form difference). Further more, the content of protein and amylase changed difference during the storage time for there are great difference among the varieties paddy.The varieties, storage environment and some chemical quality index should be considered when judge the storage time of paddy.Two predict models such as water and amylase content of paddy were established based on chemical results, near infrared reflectance (NIRS) and Partial Least Squares. The correlation coefficient of water model is0.9931, correlation coefficient square of it is0.9863, Root Mean Standard Error of Prediction of it is0.0125. The correlation coefficient of amylase model is0.9330, correlation coefficient square of it is0.8706, Root Mean Standard Error of Prediction of it is0.4250. Two predict models of paddy storage time were established based on near infrared reflectance (NIRS). The correlation coefficient of short storage time model is0.9226, correlation coefficient square of it is0.8547, Root Mean Standard Error of Prediction of it is18.01.The correlation coefficient of long storage time model is0.9739, correlation coefficient square of it is0.9506, Root Mean Standard Error of Prediction of it is67.39.The model is good application for the prediction results and the real value had no significance difference by paired samples T test (P>0.05).As we can see, control paddy quality by NIRS and chemometrics is feasible.