This paper presents an automated data processing framework for chronoamperometric (CA) measurements of the Ferro/Ferricyanide (FFC) redox couple using graphite-based screen-printed electrodes (SPEs) and Sensit Smart BT. The approach combines experimental measurements with a MATLAB routine that automatically validates, analyzes, and interpolates electrochemical data. CA tests were performed at a fixed potential, previously determined by cyclic voltammetry, for FFC concentrations of 2,5,10, and 20 mM. The automated routine applies predefined quality criteria to reject faulty measurements and constructs a calibration curve for quantitative analysis. Sensitivity, limit of detection (LOD), and limit of quantification (LOQ) were determined, showing excellent agreement between calculated and automatically derived results. The protocol achieved over 75 % accuracy in concentration estimation, enhancing reliability and reducing manual intervention. This automated method provides a robust and efficient tool for improving reproducibility in electrochemical sensing based on SPEs.

Automated Data Processing Enhances Chronoamperometric Measurements of Ferro/Ferricyanide on Graphite SPEs

Lahbacha K.
Investigation
;
Siconolfi F.
Investigation
;
Tari L.
Methodology
;
D'Elia C.
Methodology
;
Maffucci A.
Supervision
;
2026-01-01

Abstract

This paper presents an automated data processing framework for chronoamperometric (CA) measurements of the Ferro/Ferricyanide (FFC) redox couple using graphite-based screen-printed electrodes (SPEs) and Sensit Smart BT. The approach combines experimental measurements with a MATLAB routine that automatically validates, analyzes, and interpolates electrochemical data. CA tests were performed at a fixed potential, previously determined by cyclic voltammetry, for FFC concentrations of 2,5,10, and 20 mM. The automated routine applies predefined quality criteria to reject faulty measurements and constructs a calibration curve for quantitative analysis. Sensitivity, limit of detection (LOD), and limit of quantification (LOQ) were determined, showing excellent agreement between calculated and automatically derived results. The protocol achieved over 75 % accuracy in concentration estimation, enhancing reliability and reducing manual intervention. This automated method provides a robust and efficient tool for improving reproducibility in electrochemical sensing based on SPEs.
2026
979-8-3315-2684-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/126185
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