第21卷
：第1期
2013年1月文章编号
1004-924X(2013)01-0040-06
光学精密工程
Optics and Precision Engineering
基于近红外漫反射光谱检测鸡蛋品质
刘燕德*，周延睿，彭彦颖
（华东交通大学机电工程学院，江西南昌330013）
Vol. 21No.1
Jan.2013
摘要：对利用傅里叶变换近红外漫反射光谱快速检测鸡蛋品质和鸡蛋存储时间的可行性进行了探讨。运用偏最小二乘法(PLS)构建了用于鸡蛋哈夫单位、蛋白pH值、蛋形指标等鸡蛋品质和存储时间的光谱模型，采用交互验证决定系数 R，交互验证均方根误差(RMSECV)对模型精度进行了评价。结果表明，模型经优化后哈夫单位、蛋白pH值、蛋形指标和存储时间的光谱模型的R分别为0.86、0.840.26和0.92，RMSECV分别为7.52、0.17、0.05和1.37。这些结果表明除蛋形指标外，模型具有较好的准确性和预测能力，能够满足鸡蛋品质新鲜度快速无损检测的要求。随着储存时间的变化，除了蛋形指标无变化外，其它各项指标与储存时间都存在较高的相关性，符合新鲜鸡蛋变化趋势。
键词：近红外漫反射光谱；鸡蛋品质；储存时间；偏最小二乘法关
中图分类号：O657.33;S123
文献标识码：A
doi;10.3788/OPE,20132101.0040
Detection of egg quality by near infrared diffuse reflectance spectroscopy
LIU Yan-de', Zhou Yan-rui,PENG Yan-ying
(School of Mechatronics Engineering,East China Jiaotong University,Nanchang 330013, China)
Correspondingauthor，E-mail:jzliuyd163.com
Abstract: The feasibility of using the Fourier transform near-infrared diffuse reflectance spectrometry to determine egg quality and storage time rapidly was investigated. The spectral models were estab-lished based on Partial Least Square(PLS) for egg quality indexes(Haugh unit, protein pH nd egg shape) and storage time and the coefficient of determination(R,) and the Root Mean Square Error of Cross Validation(RMSECV) were used to evaluate the model accuracy. The results show that the op timal predictive models for Haugh unit, protein pH, egg shape and storage time are obtained by effec tive information selection with the R of 0. 86,0. 84,0. 26 and 0. 92, respectively and the RMSECV of 7.52, 0. 17, 0. 05 and 1. 37, respectively. It concludes that the models have better measuring accuracy and prediction capabilities except for the egg shape, which can meet the requirements of fast non-destructive detec tion for the fresh eggs. Moreover, All parameters have a higher correlation with the change of storage time except for the egg shape, which meets the change tendency of the storage fresh eggs.
Key words: near infrared diffuse reflectance spectroscopy; egg quality; storage time; Partial Least
Square(PLS)
收稿日期：2012-07-12；修订日期：2012-09-29.
基金项目：国家科技支撑计划资助项日（No.2008BAD96B04)；江西省主要学科学术和技术带头人培养对象计划资
助项目（No.2009DD00700）；江西省对外科技合作计划资助项目（No.2009BHB15200）；赣郡英才555工程领军人才培养计划资助项目