基于近红外光谱禽蛋新鲜度无损检测模型研究

Research on the detection model of egg freshness based on the near-infrared spectroscopy technology

利用近红外光谱技术结合波长优选方法研究禽蛋新鲜度品质快速无损检测模型,采用蛋黄指数作为新鲜度评价指标。结果表明,蛋黄指数建立的检测模型效果要优于蛋白pH值和哈夫单位。通过连续投影算法(SPA)优选了4 188.6,4 593.6,4 855.9,5 311.0,5 376.6,5 935.8,6 306.1,7 243.3,7 328.2,7 343.6,8 130.4,8 531.5cm^(-1) 12个特征波谱为输入变量,建立蛋黄指数PLSR、PCR和SMLR检测模型,3种检测模型结果接近,其中,SMLR模型检测效果最好,相关系数r_(pre)=0.950,预测集均方根误差RMSEP=0.030,说明采用近红外光谱禽蛋蛋黄指数检测模型是可行的,通过波长优选后,检测精度较全光谱分析有所提高,该研究结果为进一步开发鸡蛋新鲜度的快速无损检测分级设备提供了理论依据和方法。

The rapid and nondestructive detection method of egg freshness was investigated based on the near-infrared spectroscopy technology combined with the wavelength selection method in this study. We promoted using the egg yolk index as the target to estimate the freshness of eggs. The results showed that the models established for pH value and Hough units were unacceptable and the egg yolk index detection models were the best. By applying the suc- cessive projections algorithm （SPA）, 12 wavenumbers were chosen out, i.e., 4 188.6,4 593.6,4 855.9, 5 311.0, 5 376.6, 5 935.8, 6 306.1, 7 243.3, 7 328.2, 7 343.6, 8 130.4 and 8 531.6 cm 1. Ac- cording to the index of thesel2 variables , three egg yolk models, in-cluding partial least squares regression （PLSR）, principal component regression （ PCR ） and stepwise multivariate linear regression （SMLR）, were established respectively. The results of these three models were basically similar, and the SMLR were the best among them. The prediction correlation coefficient （rpre） and the root mean square error of prediction （RMSEP） were 0.950 and 0.030 of SPA- SMLR model, respectively. Our results indicated that detecting the egg yolk index by using the near-infrared spectroscopy technology was practicable. Moreover, the performance could be improved by u- sing the feature wavelengths as the input. This study will provide a theoretical basis and new clue for the further development of the potential effective and nondestructive detective equipment in egg fresh-ness grading.