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Description of Complex Fluids Electrochemical Data in the Frame of Percolation Model
Author(s) -
R. Nigmatullin Raoul,
Sidelnikov Artem V.,
Budnikov Herman C.,
Maksyutova Elza I.
Publication year - 2018
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.201800264
Subject(s) - percolation (cognitive psychology) , fractal , fractal dimension , electrochemistry , statistical physics , percolation theory , anode , materials science , thermodynamics , physics , chemistry , electrode , mathematics , conductivity , mathematical analysis , neuroscience , biology
In the paper, the percolation model (PM) developed earlier for description of data associated with complex fluids was successfully applied. As an example, we analyzed the virgin olive oil electrochemical data. In spite of the fact that this complex fluid as olive oil contains more than 100 different chemical components, it becomes possible to describe the dependencies J ( U ) (defined in electrochemistry as the voltammograms (VAGs)) in terms of the percolation model. This model takes into account the behavior of the conducting/percolation currents in meso‐region and dependencies of the fractal dimension versus applied potential U . It was proved that this model was applicable for three basic regions: cathode region (where positive charges are mainly concentrated), capacitor (Faraday) region and anode region (where negative charges were mainly located). For these three basic conventional regions known in electrochemistry, we obtained the excellent coincidence of the fitting function obtained in the frame of PM with experimental data. These results prove that this meso‐model can be applicable for description of wide set of data including different complex solutions and fluids.