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The Determination of Rice gel Consistency by Near Infrared Spectroscopy Used Partial Least Squares Methods

机译:近红外光谱法测定水稻凝胶稠度使用的部分最小二乘法

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The gel consistency (GC) is one of the important cooking and eating characteristics of rice. The testing method of rice GC by near infrared spectroscopy (NIR) is developed, and the prediction models of rice GC is set up based on the partial least squares (PLS) methods. Sixty spectrum of rice samples were calibrated for the GC of rice. It shows that the correlation coefficient between the evaluation of PLS and of chemical method is 0.95, and standard error of calibration (SEC) is 0.66. To validate the calibration, an independent set of 41 rice samples of the same type was used. The correlation coefficient is 0.92, and standard error of validation is 0.78.
机译:凝胶一致性(GC)是大米的重要烹饪和食用特征之一。开发了近红外光谱(NIR)的水稻GC的测试方法,基于局部最小二乘(PLS)方法建立了水稻GC的预测模型。为GC的GC校准了六十粒水稻样品。它表明,PLS和化学方法的评估之间的相关系数为0.95,校准(秒)的标准误差为0.66。为了验证校准,使用独立的相同类型的41种稻米样品。相关系数为0.92,标准验证误差为0.78。

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