Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil
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...
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Online Access: | http://dx.doi.org/10.1155/2014/840685 |
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doaj-2e940767801047b899fbde24873692102020-11-24T21:56:00ZengHindawi LimitedJournal of Sensors1687-725X1687-72682014-01-01201410.1155/2014/840685840685Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-OilHong Men0Donglin Chen1Xiaoting Zhang2Jingjing Liu3Ke Ning4School of Automation Engineering, Northeast Dianli University, Jilin 132012, ChinaSchool of Automation Engineering, Northeast Dianli University, Jilin 132012, ChinaSchool of Automation Engineering, Northeast Dianli University, Jilin 132012, ChinaSchool of Automation Engineering, Northeast Dianli University, Jilin 132012, ChinaSchool of Automation Engineering, Northeast Dianli University, Jilin 132012, ChinaFor 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.http://dx.doi.org/10.1155/2014/840685 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hong Men Donglin Chen Xiaoting Zhang Jingjing Liu Ke Ning |
spellingShingle |
Hong Men Donglin Chen Xiaoting Zhang Jingjing Liu Ke Ning Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil Journal of Sensors |
author_facet |
Hong Men Donglin Chen Xiaoting Zhang Jingjing Liu Ke Ning |
author_sort |
Hong Men |
title |
Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil |
title_short |
Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil |
title_full |
Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil |
title_fullStr |
Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil |
title_full_unstemmed |
Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil |
title_sort |
data fusion of electronic nose and electronic tongue for detection of mixed edible-oil |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2014-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2014/840685 |
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