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Inverse problem in potentiodynamic electrochemical impedance spectroscopy A.S. Bondarenko, G.A. Ragoisha Belarusian State University, Minsk, Belarus E-mail: bondarenkoas@bsu.by

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Outline Multidimensional data acquisition in potentiodynamic electrochemical impedance spectroscopy (PDEIS) Analysis of 3D PDEIS spectra Applications

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Electrochemical impedance Z is the complex opposition of electrochemical system to alternative current. Z is a two-dimensional value, which is usually represented in complex notation by real impedance Z’ and imaginary impedance Z’’. Electrochemical impedance characterises electrochemical reaction and electrode surface

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In complex impedance notation Z’ and Z’’characterise different parts of a complex ac response Z’ - the in-phase part; Z’’ – the out-of-phase part With variable potential E the response becomes three- dimensional Impedance spectrum shows implicitly the frequency response Impedance Z is a two-dimensional physical quantity

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(1) Data acquisition gives 3D impedance spectra and dc current as functions of the electrode potential (2) Inverse problem solving Circuit parameters as functions of the electrode potential Deduction of theoretical models DO – digital output, AO – analog output, AI – analog input Data acquisition Inverse problem solving PDEIS spectra analysis in terms of equivalent electric circuits Data acquisition and analysis in PDEIS.

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The view of the PDEIS spectrometer screen in cyclic potential scanning (3D data acquisition) 3D PDEIS spectrum Cyclic voltammogram 2D “slices” of PDEIS spectrum in different differentcoordinates

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PDEIS spectrum represents electrochemical response by means of a 3D graph Ferrocyanide reversible redox transformation redox transformation Aniline electropolymerisation Electrode potential (E) Imaginary part of impedance (Z’’) Real part of impedance (Z’) dc current (I)

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…more examples of 3D PDEIS spectra PDEIS spectra can be used either as visual signatures of systems under investigation, or subjected to further analysis The solution of inverse problem in PDEIS gives more detailed information about the system

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3D PDEIS spectrum is considered as a collection of 2D data ( the spectrum “is cut” into 2D “slices” on the potential scale with each slice representing impedance spectrum for a certain electrode potential ) Each “slice” will be processed separately in the automatic mode along the potential axis E / mV Z’ / Ω -Z’’ / Ω For each of the 2D slices the minimisation problem is solved with complex nonlinear least squares routine, and this gives the parameters of equivalent electric circuits as functions of the potential

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Electrochemical interface modeling by equivalent electric circuits (EEC) is a key procedure in the solution of inverse problem EEC comprises common electric circuit elements (resistors, capacitors etc.) and specific electrochemical elements, e.g.impedance of diffusion (Warburg impedance). Each interfacial process is modeled by its own EEC element … By means of EEC the total acquired response is decomposed into constituents related to different interfacial processes that take place simultaneously.

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Spectrum analyser fits 2D slices of a PDEIS spectrum to equivalent circuits sequentially along the potential axis The spectrum analyser window of the virtual spectrometer Equivalent electric electriccircuit Equivalent electric circuit parameters obtained Experimental data (2D “slice” of PDEIS spectrum) and fitted curve

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Cu and Bi monolayers formation accompanied by coadsorption of anions The built-in analyser produces the dependences of EEC parameters on the electrode potential (examples ) The dependences of EEC parameters on the electrode potential characterise dynamics of various interfacial processes. Additional information comes from comparison of EEC parameters dependences with theoretical models

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Analysis of constituent responses (1) Equivalent circuit Z w = σ /(jω) 0.5 These curves characterise the diffusion of reagents Calculated curve (solid line) Warburg constant Diffusion of reagent in ferrocyanide redox transformations on glassy carbon

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Analysis of constituent responses (2) …but affects charge transfer Pt passivation does not affect diffusional parameter… Thus, information on different aspects of interfacial dynamics is obtained from the same PDEIS spectrum

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Analysis of the constituent responses (3) Anions co-adsorption during metal monolayer formation Multivariate data Separate monitoring of simultaneous processes and theoretical models development Inverse problem solving

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Conclusions Computer program for analysis of 3D PDEIS spectra has been developed and integrated with the program of PDEIS virtual spectrometer A new approach to investigation of simultaneous nonstationary processes on the electrochemical interface has been developed on the base of analysis of 3D PDEIS spectra Full-text articles about PDEIS available free on Chemweb: G.А. Ragoisha and A.S. Bondarenko, Potentiodynamic electrochemical impedance spectroscopy for solid state chemistry, Solid State Phenom. 90-91 (2003) 103-108. http://preprint.chemweb.com/physchem/0301002http://preprint.chemweb.com/physchem/0301002 G.А. Ragoisha and A.S. Bondarenko, Investigation of monolayers by potentiodynamic electrochemical impedance spectroscopy, Physics, Chemistry and Application of Nanostructures, World Scientific, 2003, 373-376. http://preprint.chemweb.com/physchem/0301005http://preprint.chemweb.com/physchem/0301005 G.А. Ragoisha and A.S. Bondarenko, Potentiodynamic electrochemical impedance spectroscopy. A review, Proc. Phys-Chem. Res. Inst., BSU, Minsk, 2003, 138-150; http://preprint.chemweb.com/physchem/0308001http://preprint.chemweb.com/physchem/0308001 G.A. Ragoisha, A.S. Bondarenko. Potentiodynamic electrochemical impedance spectroscopy of silver on platinum in underpotential and overpotential deposition. Surf. Sci. in press. http://arxiv.org/e-print/cond-mat/0310449http://arxiv.org/e-print/cond-mat/0310449

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