食品科学 ›› 2013, Vol. 34 ›› Issue (22): 281-285.doi: 10.7506/spkx1002-6630-201322057

• 包装贮运 • 上一篇    下一篇

便携式近红外光谱仪判别鸡蛋的贮藏时间

毕夏坤,赵杰文,林 颢,孙 力,管彬彬   

  1. 江苏大学食品与生物工程学院,江苏 镇江 212013
  • 收稿日期:2012-11-16 修回日期:2013-10-28 出版日期:2013-11-25 发布日期:2013-12-05
  • 通讯作者: 林颢 E-mail:linhaolt794@163.com
  • 基金资助:

    禽蛋裂纹检测技术研究与集成;利用声脉冲-振动二维响应信号检测禽蛋裂纹的信号;镇江市科技支撑计划

Prediction of Egg Storage Time Using Portable Near Infrared Spectrometer

BI Xia-kun,ZHAO Jie-wen,LIN Hao,SUN Li,GUAN Bin-bin   

  1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
  • Received:2012-11-16 Revised:2013-10-28 Online:2013-11-25 Published:2013-12-05

摘要:

选用两种不同的光谱仪(USB2000+和Maya2000)并使用强弱不同的两种光源系统,分别采集不同贮藏时间的鸡蛋近红外透射光谱,并通过主成分分析和线性判别分析方法对鸡蛋的贮藏时间进行区分和归类。结果表明:线性判别(LDA)法效果优于主成分分析(PCA)法,Maya2000优于USB2000+光谱仪,Maya2000光谱仪LDA总体判别率达到了95.7%,Cross-Validated判别率也达到了93.2%;即使光源的强度较低,如果选择合适的光谱仪结合一定的判别方法也能较好地区分鸡蛋的新鲜度和货架期。

关键词: 近红外透射光谱, 主成分分析, 鸡蛋, 判别分析

Abstract:

Two different portable near infrared spectrometers (USB 2000+ and Maya 2000) were used to acquire spectra
of eggs stored for different times with high- and low-intensity light source systems. Discrimination and classification
of storage times of eggs was achieved by two different methods, PCA and LDA analysis. The results showed that LDA
was superior to PCA and Maya 2000 which correctly discriminated 95.7% of egg samples in LDA analysis and 93.2%
of cross-validated samples was superior to USB 2000+. Even using a low-intensity light source system, discrimination
of the freshness and shelf life of eggs can be achieved by an appropriate near infrared spectrometer combined with an
appropriate discrimination method.

Key words: near infrared transmittance spectroscopy, principal component analysis, egg, discrimination analysis