傅里叶变换近红外反射用于鸡蛋蛋品质的研究

鸡蛋的无损检测技术一直以来都是蛋品质检测领域的重要研究课题,建立相应的检测技术对蛋鸡育种和蛋品质监测具有实际意义.文章利用近红外光谱仪测定保存时间不同的鸡蛋,探讨了蛋白高度、哈氏单位、气室直径、气室高度近红外模型的可行性,并运用无偏最小二乘法建立了鸡蛋蛋白高度、鸡蛋气室直径、气室高度的近红外测定模型,蛋白高度、气室直径与气室高度的测定模型的决定系数R2分别为0.867,0.821,0.865,RMSECV分别为0.476,0.014与0.479.对33个鸡蛋样品的模型验证的R2分别为0.873,0.861,0.895.鸡蛋新鲜度主要指标的预测值与实际值间的差异不显著(P＞0.05),所建模型具有较好的准确性与预测能力,能够满足蛋品新鲜度快速无损检测的要求.

Egg Quality Prediction by Using Fourier Transform Near Infrared Reflectance Spectroscopy (FT-NIR)

The objective of the present study is to investigate the feasibility of using FT-NIR to determine egg quality: egg albumen height (EAH); Haugh unit (HU); air cell height (ACH); air cell diameter (ACD); egg shape index (ESI) and egg weight (EW). All eggs were stored in the same environment with 16 ℃ and 75% relative humidity after collection. Calibrations were developed using a leave-one-out cross validation procedure under partial least-squares regression. The different optimal parameter comparisons showed that Savitzky-Golay filter method and second derivatives can give the best calibration for all the measured values. The partial least-square analysis showed that R2 of the EAH, ACD and ACH are 0.867, 0.821 and 0.865, respectively. The RMSECV values are 0.476, 0.014 and 0.479 for EAH, ACD and ACH, respectively. The correlation coefficients of external-validation for 33 eggs are 0.873, 0.861 and 0.895 for EAH, ACD and ACH, respectively. The external-validation results are not significant different from actual measurements (P＞0.05) for EAH, ACD and ACH. All models cannot give the reasonable results for EW, ESI and HU. As the HU cannot be measured correctly by using FT-NIR and also is highly correlated with EAH, the authors suggested the possibility to revise the currently used measurement standard. Our results showed that FT-NIR could be used to test the egg albumen height, air cell height and air cell diameter.