食品科学 ›› 2013, Vol. 34 ›› Issue (22): 353-356.doi: 10.7506/spkx1002-6630-201322071

• 技术应用 • 上一篇    

电子鼻在8种贝类气味差异研究中的应用

丁 媛,郑平安,缪芳芳,苏秀榕   

  1. 宁波大学海洋学院,浙江 宁波 315211
  • 收稿日期:2013-01-15 修回日期:2013-10-29 出版日期:2013-11-25 发布日期:2013-12-05
  • 通讯作者: 苏秀榕 E-mail:suxiurong@gmail.com

Odor Discrimination of Eight Shellfishes Using an Electronic Nose

DING Yuan,ZHENG Ping-an,MIAO Fang-fang,SU Xiu-rong   

  1. School of Marine Sciences, Ningbo University, Ningbo 315211, China
  • Received:2013-01-15 Revised:2013-10-29 Online:2013-11-25 Published:2013-12-05

摘要:

目的:为研究不同贝类气味的差异,建立一种可以区分贝类气味差异程度的科学方法。方法:以缢蛏、毛蚶、泥蚶、青蛤、菲律宾蛤仔、彩虹明樱蛤、四角蛤蜊、虾夷扇贝为实验对象,利用电子鼻进行检测分析,结合SPSS软件对电子鼻数据进行处理分析。结果:电子鼻可以准确的区分这8种贝类,而且区分度很高。通过进一步分析发现不同贝类气味差异程度不同,利用数据处理可以看出不同种类贝类气味差异程度的大小。结论:通过对电子鼻的数据分析可以得出贝类气味差异程度的关系。

关键词: 贝类, 电子鼻, 主成分分析, SPSS, 聚类分析

Abstract:

In the present study, an electronic nose was used to characterize and classify the odors of 8 different shellfishes.
By the methods of principle component analysis (PCA) and linear discrimination analysis (LDA), the data obtained were
analyzed using an SPSS software. The shellfishes were accurately discriminated from one another with a high degree of
discrimination. Further analysis indicated differences in their odors according to the results of data processing. Therefore
analysis of the data from an electronic nose enables discrimination of different shellfishes.

Key words: shellfish, electronic nose, PCA, SPSS, cluster analysis

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