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Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil
Joint Authors
Men, Hong
Chen, Donglin
Zhang, Xiaoting
Liu, Jingjing
Ning, Ke
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
For the problem of the waste of the edible-oil in the food processing, on the premise of food security, they often need to add new edible-oil to the old frying oil which had been used in food processing to control the cost of the production.
Due to the fact that the different additive proportion of the oil has different material and different volatile gases, we use fusion technology based on the electronic nose and electronic tongue to detect the blending ratio of the old frying oil and the new edible-oil in this paper.
Principal component analysis (PCA) is used to distinguish the different proportion of the old frying oil and new edible-oil; on the other hand we use partial least squares (PLS) to predict the blending ratio of the old frying oil and new edible-oil.
Two conclusions were proposed: data fusion of electronic nose and electronic tongue can be used to detect the blending ratio of the old frying oil and new edible-oil; in contrast to single used electronic nose or single used electronic tongue, the detection effect has increased by using data fusion of electronic nose and electronic tongue.
American Psychological Association (APA)
Men, Hong& Chen, Donglin& Zhang, Xiaoting& Liu, Jingjing& Ning, Ke. 2014. Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil. Journal of Sensors،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042987
Modern Language Association (MLA)
Men, Hong…[et al.]. Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil. Journal of Sensors No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1042987
American Medical Association (AMA)
Men, Hong& Chen, Donglin& Zhang, Xiaoting& Liu, Jingjing& Ning, Ke. Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042987