Abstract
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.
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Lopes, A.M., Machado, J.A.T. & Ramalho, E. On the fractional-order modeling of wine. Eur Food Res Technol 243, 921–929 (2017). https://doi.org/10.1007/s00217-016-2806-x
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DOI: https://doi.org/10.1007/s00217-016-2806-x