Statistical Analysis of the Measurement Noise in Dynamic Impedance Spectra.

ABSTRACT: Different strategies can be used to acquire dynamic impedance spectra during a cyclic voltammetry experiment. The spectra are then analyzed by fitting them with a model using a weighted non-linear least-squares minimization algorithm. The choice of the weighting factors is not trivial and influences the value of the extracted parameters. At variance with the classic electrochemical impedance spectroscopy, dynamic impedance measurements are performed under non-stationary conditions, making them typically more prone to errors arising from the voltage and current analog-to-digital conversion. Under the assumption that the noise in the voltage and current signals have a constant variance along the measurement and that it is uncorrelated between distinct samples, we calculate an expression for

SUBMITTER: Chukwu R 

PROVIDER: S-EPMC9400911 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature