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2013 (Vol. 5, Issue: 04)
Article Information:

Detection of Edible Oils Based on Voltammetric Electronic Tongue

Hong Men, Caiwa Zhang, Ke Ning and Donglin Chen
Corresponding Author:  Hong Men 

Key words:  Edible oils, electronic tongue, hierarchical cluster analysis, hierarchical factor analysis, principal component analysis, ,
Vol. 5 , (04): 1197-1202
Submitted Accepted Published
June 22, 2012 August 17, 2012 February 01, 2013
Abstract:

A voltammetric electronic tongue to classify five different types of edible oil samples is described in this study. The standard three-electrode configuration composes the sensor array: gold electrode, platinum electrode and saturated calomel electrode. Using cyclic voltammetric measurement, respectively, on five different types of edible oil samples (peanut oil, corn oil, soybean oil, sesame oil and sunflower oil) collected data. The data extracted from the cyclic voltammetry are processed by three algorithms: Principal Component Analysis (PCA), Factor Analysis (FA) and Hierarchical Cluster Analysis (HCA). The result shows that the voltammetric electronic tongue could discriminate all of the five edible oil samples very well.
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  Cite this Reference:
Hong Men, Caiwa Zhang, Ke Ning and Donglin Chen, 2013. Detection of Edible Oils Based on Voltammetric Electronic Tongue.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1197-1202.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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