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.

Keywords:

Edible oils, electronic tongue, hierarchical cluster analysis, hierarchical factor analysis, principal component analysis,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.