Identification and Classification of Jinhua Ham by Electronic Nose
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    Abstract:

    An electronic nose(E-nose) was developed to distinguish different grades of Jinhua hams through detecting the aroma of three types of Jinhua ham samples to obtain the response value respectively.Then the data was analyzed by using Principal Component Analysis(PCA),Linear Discriminant Analysis(LDA) and Partial Least Squares(PLS).LDA was used for identification,PCA for dimensionality reduction and PLS for prediction.Results showed that electronic nose can distinguish different grades of Jinhua hams.The method was confirmed in prediction of Jinhua hams with different grades.The research will provide an important scientific knowledge to improve and perfect the national standard of Jinhua hams in future.

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YAO Lu, DING Ya-ming, MA Xiao-zhong, GUO Ru-bin, YIN Zhong, WANG Zhen, SHEN Li-rong, QIU Zheng-jun. Identification and Classification of Jinhua Ham by Electronic Nose[J]. Journal of Food Science and Biotechnology,2012,31(10):1051-1056.

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  • Online: June 17,2014
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