Synthesis of polyaniline/5-sulfosalicylic acid composite and it’s electrochemical properties

Bandeira, Rafael Marinho; Silva, Diego David da; Khalid, Mohd; Tremiliosi‐Filho, Germano

doi:10.1016/j.mset.2020.04.002

Cited by 2 publications

(1 citation statement)

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“…It was first proposed by Randles in 1947 to study electrode reaction speed [1]. Since then, it has become a widely accepted model in fields such as characterizing the electrochemical properties of materials and interfaces [2]- [4], as well as for fuel cells [5], solar cells [6], prosthesis [7], and even various types of sensors such as liquid conductivity [8] or biological sensors [9].…”

Section: Introductionmentioning

confidence: 99%

A Simple Method for a Digital Readout of Randles Impedances

Hidalgo-López

2024

IEEE Trans. Instrum. Meas.

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The Randles Impedance Model (RIM) characterizes a wide range of physical phenomena. The model comprises three elements: a resistor in series with a combination of a capacitor and another resistor arranged in parallel. This structure makes determining RIM component values particularly complex. Although such values can be found using Electrical Impedance Spectroscopy (EIS), this process requires a large number of measurements and complex hardware. Other time-based methods reduce the number of measurements, but the hardware involved is still excessive for a portable system, requiring complicated arithmetic calculations that may produce less than accurate results. This paper presents a readout method based on time measurements that uses only a simple digital processor, DP (without analog-to-digital converters), and two resistors of known value to estimate the RIM parameters in digital format. The method performs three Randles impedance capacitor chargedischarge processes to obtain five time measurements. The results are found by processing the time measurements in the DP using simple arithmetical operations. Despite the simplicity of both the hardware and the reading and calculation methods, errors in the estimates of a range of RIM parameter combinations are among the lowest in the literature, varying between 1.22% and 1.66%, depending on the parameter to be estimated.

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