稻米储藏品质近红外光谱快速判定技术及仪器研发

Research on Rapid Determination Techniques and Devices of Stored Rice Quality by Near-Infrared Spectroscopy

采用近红外光谱(NIRS)分析技术和化学计量方法建立稻米脂肪酸值、品尝评分值和水分含量的近红外分析模型并对模型进行了预测准确性评价;在建立定标模型的过程中,分别探讨光谱散射和数学导数处理等优化对定标模型的影响。结果表明:偏最小二乘法是建立稻米脂肪酸值、品尝评分值和水分含量测定定标模型的最佳回归方法,所建立脂肪酸值、品尝评分值和水分含量模型的定标相关系数(RSQ)分别为0.961、0.9230和0.9999,定标标准偏差(SEC)分别为1.9205、2.5391和0.04。标准方法测定值与NIRS方法预测值之间的T检验结果显示两种方法无显著性差异,表明所建立的稻米脂肪酸值、品尝评分值和水分含量的NIRS数学模型有较好预测准确性。本试验研制了便携式粮食储藏品质测定仪。

The analytic techniques and chemical measurement methods with near-infrared spectroscopy（NIRS） were adopted to establish the near-infrared analytical model for fatty acid content,eating score and moisture content and then the predicted accuracy was assessed for the model.In the process of the establishment of the calibration model,the effects of spectrum spreading,mathematical derivative treatment and other optimizing means on the calibration were probed respectively.The results showed that the partial least square（PLS） method was the best means to establish the calibration models to determine fatty acid content,eating score and moisture content of the rice,and the coefficients of correlation（RSQ） of calibration equation for fatty acid content,eating score and moisture content were 0.961,0.923 0 and 0.999 9 respectively;the standard errors of calibration（SEC） were 1.920 5,2.539 1 and 0.04 respectively.T test value between the chemical standard method and NIRS method showed that the two methods had not a statistic difference.This NIRS method can be applied to predict the fatty acid content,eating score and moisture content in rice.A portable grain storage quality analyzer was developed in this study.