Abstract (EN):
This paper uses electrical impedance spectroscopy for characterizing different varieties of wine and compares the results with standard chemical analysis. In a first phase, the electrical impedance of wine samples is measured and modeled by means of fractional-order transfer functions. The impedance model parameters are then correlated with chemical data to unveil potential relationships between the distinct descriptions. In a second phase, the multidimensional scaling technique is adopted for data clustering and visualizing. The methodology is illustrated on a set of commercially available wines. The results demonstrate that fractional-order models represent conveniently the impedance of wine, with a reduced number of parameters.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
9