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

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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

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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