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基于近红外光谱粉壳蛋蛋黄颜色的定性判别研究

Study on Qualitative Discrimination of Pink Shell Egg Yolk Color Based on Near Infrared Spectroscopy

  • 摘要: 研究提出了一种采用近红外光谱对粉壳蛋蛋黄颜色的定性判别方法。试验时共采集了90个粉壳鸡蛋的近红外光谱数据,其中校正集63个鸡蛋,预测集27个鸡蛋,通过罗氏比色扇测得90个鸡蛋蛋黄颜色的数字量,将蛋黄颜色数字量≥8设定为1,蛋黄颜色数字量<8设定为0,采用偏最小二乘判别的方法进行分析,通过交互均方根误差先大致确定主成分数目,然后根据主成分数再进一步进行判别分析,最终结果表明:对初始光谱数据进行一阶求导后,当主成分数为3时,无损判别预测的正确率可达78.26%。

     

    Abstract: In this paper, a qualitative discrimination method for the yolk color of pink shell egg using near infrared spectroscopy is proposed. A total of 90 near-infrared spectral data of pink shell eggs were collected, including 63 eggs in the correction set and 27eggs in the prediction set. The yolk color of 90 eggs was measured by the Roche colorimetric fan, and the number of yolk colors greater than or equal to 8 was set to 1, and the number of yolk colors less than 8 was set to 0. The partial least squares method was used for analysis. The number of principal component was first determined approximately by the interactive root mean square error,and then further discriminant analysis was carried out according to the number of principal component, the final result shows that after the first derivative of the initial spectral data, when the principal component number is 3, the correct rate of non-destructive discrimination prediction is 78.26%.

     

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