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Deviations from linearity in impedance spectroscopy measurements.

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dc.contributor.author Batalioto, Fernando
dc.contributor.author Barbero, Giovanni
dc.contributor.author Figueiredo Neto, Antonio M.
dc.contributor.author Lelidis, Ioannis
dc.date.accessioned 2022-06-22T12:35:04Z
dc.date.available 2022-06-22T12:35:04Z
dc.date.issued 2022-06-22T09:35:04Z
dc.identifier.citation Electrochimica Acta 397 (2021) 139277 - https://doi.org/10.1016/j.electacta.2021.139277
dc.identifier.uri http://repositorio.uspdigital.usp.br/handle/item/371
dc.description Tables in text format (.dat). We investigate the electric response of a kerosene cell containing magnetic nanoparticles. The cell is submitted to an external potential difference and its impedance is measured for increasing values of the potential amplitude. The analysis of the experimental data by means of the Kramers-Kronig relations indicates an unexpected deviation from the linear behaviour situated close to the frequency identifying the minimum of the cell’s reactance modulus. We show that this departure from linearity could be related to the imaginary part of the ions’ bulk density when its variation cannot be considered as a small quantity. The analysis is performed in the one-type mobile ions approximation of the Poisson-Nernst-Planck model assuming Ohmic boundary conditions on the electrodes. Fitting the data using linear models gives poor results any time the Kramers-Kronig analysis shows deviations from linearity.
dc.description.sponsorship MEPhI Academic Excellence Project
dc.description.sponsorship Conselho Nacional de Desenvolvimento Científico e Tecnológico (INCT/CNPq)
dc.description.sponsorship Fundação de Amparo à Pesquisa do Estado de São Paulo (INCT/FAPESP)
dc.description.sponsorship Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (INCT/CAPES)
dc.description.sponsorship Thematic Project (FAPESP)
dc.publisher Universidade de São Paulo, Instituto de Física, Grupo de Fluidos Complexos.
dc.title Deviations from linearity in impedance spectroscopy measurements.
dc.type Dataset
dc.description.sponsorshipId 02.a03.21.0005
dc.description.sponsorshipId 465259/2014-6
dc.description.sponsorshipId 14/50983-3
dc.description.sponsorshipId 88887.136373/2017-00
dc.description.sponsorshipId 2016/24531-3


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