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Rybicki T, Karbownik I. Analysis of Fractional-Order Models Of Polyaniline Doped Polyacrylonitrile Fibres Impedances' (PAN/PANI). Sci Rep 2020; 10:801. [PMID: 31964987 PMCID: PMC6972864 DOI: 10.1038/s41598-020-57746-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 01/02/2020] [Indexed: 11/25/2022] Open
Abstract
The paper describes the use of electrical impedance spectroscopy (EIS) for characterizing the impedance of polyaniline doped polyacrylonitrile fibres. The electrical impedance of fibres samples was measured by means of high impedance analyser and modeled by four types of models: Debye, Cole-Cole, Davidson-Cole and Havriliak-Negami. The fitting errors are presented for all model types. The model parameters are correlated with chemical substances additives and processing which were used during the fibres production. The presented results show that the fractional-order models reflect properly the impedance spectra of fibres samples.
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Affiliation(s)
- Tomasz Rybicki
- Lodz University of Technology, Institute of Automatic Control, Lodz, Poland.
| | - Iwona Karbownik
- Lodz University of Technology, Institute of Automatic Control, Lodz, Poland
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Antonova A, Barbero G, Batalioto F, Figueiredo Neto A, Parekh K. Electric response of cells containing ferrofluid particles. J Electroanal Chem (Lausanne) 2020. [DOI: 10.1016/j.jelechem.2019.113479] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lenzi EK, Evangelista LR, Taghizadeh L, Pasterk D, Zola RS, Sandev T, Heitzinger C, Petreska I. Reliability of Poisson–Nernst–Planck Anomalous Models for Impedance Spectroscopy. J Phys Chem B 2019; 123:7885-7892. [DOI: 10.1021/acs.jpcb.9b06263] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- E. K. Lenzi
- Departamento de Física, Universidade Estadual de Ponta Grossa, Avenida Av. General Carlos Cavalcanti 4748, 84030-900 Ponta Grossa, Paraná, Brazil
| | - L. R. Evangelista
- Departamento de Física, Universidade Estadual de Maringá, Avenida Colombo 5790, 87020-900 Maringá, Paraná, Brazil
| | - L. Taghizadeh
- Institute for Analysis and Scientific Computing, Vienna University of Technology (TU Wien), Wiedner Hauptstraße 8−10, 1040 Vienna, Austria
| | - D. Pasterk
- Institute for Analysis and Scientific Computing, Vienna University of Technology (TU Wien), Wiedner Hauptstraße 8−10, 1040 Vienna, Austria
| | - R. S. Zola
- Departamento de Física, Universidade Tecnológica Federal do Paraná—Apucarana, PR 86812-460, Brazil
| | - T. Sandev
- Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia
- Institute of Physics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, Arhimedova 3, 1000 Skopje, Macedonia
| | - C. Heitzinger
- Institute for Analysis and Scientific Computing, Vienna University of Technology (TU Wien), Wiedner Hauptstraße 8−10, 1040 Vienna, Austria
| | - I. Petreska
- Institute of Physics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, Arhimedova 3, 1000 Skopje, Macedonia
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