Abstract
Methods for edible oil quality detection mainly have conductivity and peroxide acid value, but as for currently blending edible detection, the effect of these methods is not satisfied. In this study, we propose a cluster algorithm based on artificial fish swarm improvement to detect edible oil by voltammetric electronic tongue. It can optimize the cluster centers value and the initial value. The results show that this is significant to classification and detection of edible oil using the artificial fish swarm cluster algorithm in voltammetric electronic tongue system.
Highlights
The food safety has been a hot topic. Adulterated food can cause serious harm
In the world, the food safety has been a hot topic
The simulation data obtained by voltammetric electronic tongue blended inferior oil and the blending ratio in accordance with the division of the old oils are 20, 40, 60, 80 and 100%, respectively
Summary
The food safety has been a hot topic. Adulterated food can cause serious harm. In this figure can clear to see that the classification of the hierarchical cluster method for blended edible oil (blend ratio are 20, 40, 60, 80, 100%, respectively each of five samples) exists the possibility of misclassification, even cannot distinguish five kinds of blend ratio.
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