食品科学 ›› 2010, Vol. 31 ›› Issue (24): 360-365.doi: 10.7506/spkx1002-6630-201024079

• 分析检测 • 上一篇    下一篇

电子鼻判别不同储藏条件下糙米品质的研究

宋 伟1,刘 璐1,支永海2,陈 瑞1   

  1. 1. 南京财经大学食品科学与工程学院
    2. 南京雨润食品有限公司
  • 收稿日期:2010-07-19 修回日期:2010-11-15 出版日期:2010-12-25 发布日期:2010-12-29
  • 通讯作者: 宋伟 E-mail:songwei@njue.edu.cn
  • 基金资助:

    “十一五”国家科技支撑计划项目(2006BAD08B03-3)

Discriminating the Quality of Brown Rice Stored at Different Conditions by Electronic Nose

SONG Wei1,LIU Lu1,ZHI Yong-hai2,CHEN Rui1   

  1. 1. School of Food Science and Technology, Nanjing University of Finance and Economics, Nanjing 210003, China;
    2. Nanjing Yurun Food Group Co. Ltd., Nanjing 210041, China
  • Received:2010-07-19 Revised:2010-11-15 Online:2010-12-25 Published:2010-12-29
  • Contact: SONG Wei E-mail:songwei@njue.edu.cn

摘要:

采用德国Airsense 公司生产的PEN3 型电子鼻系统对不同储藏条件下的糙米进行分析检测。通过对传感器响应值进行PCA、LDA 方法的分析,发现PCA 和LDA 均能准确判别出不同水分含量的糙米;PCA、LDA 方法均可判别不同温度储藏的糙米样品,LDA 方法呈现出良好的集中性和单向趋势;LDA 可以很好的区分不同氧气体积分数储藏的糙米样品,并根据氧气体积分数的不同呈现出明显的规律,但总贡献率要低于PCA 方法。另外,通过方差分析发现不同储藏条件对电子鼻响应值的影响大小有所差异,顺序为水分条件>温度>氧气体积分数,水分和温度存在交互作用。另外,采用Loadings 分析方法可以得知传感器W5C、W1S 在检测中起到的作用最大,可以对电子鼻的传感器进行优化与选择,根据不同的具体条件选择适当的传感器阵列组合。

关键词: 糙米储藏条件, 电子鼻, 线性判别法, 主成分分析法

Abstract:

Brown rice stored at different conditions was analyzed by using an electronic nose (PEN3) from Airsense Company in Germany. Response values of PEN3 were subjected to principal component analysis (PCA) and linear discrimination analysis (LDA). Results indicated that electronic nose could identify brown rice samples stored at different temperatures and moisture by PCA and LDA methods. In addition, brown rice samples stored in different temperatures and O2 concentrations also could be well distinguished using LDA method, but the total contribution rate of LDA was lower than that of PCA. The water content and temperature had more significant effect on the response values of electronic nose than oxygen concentration. A crossinteraction was also observed between water content and temperature. The Loadings analysis proved that sensors W5C and W1S in the electronic nose PEN3 have an important impact during the detection, which could provide the guidance to optimize and screen matrix arrangement for better performance of electronic nose.

Key words: brown rice storage conditions, electronic nose, linear discrimination analysis (LDA), principal component analysis (PCA)

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