A circuit model estimation of voltammetric taste measurement system for black tea. (July 2019) - Kumar, Sanjeev
Graphical abstract: Highlights: First attempt of system identification using the experimental raw input-output data from a taste measurement system. Transfer function model of the system is estimated. Structure and parameters of electrical equivalence of the system is determined. Testing the technique with a standard chemical solution. Results from EIS experiment validate the circuit model. Abstract: A novel multidisciplinary work is presented in this paper; a circuit model is estimated for a voltammetric taste measurement system using the method of system identification. In a voltammetric system, a voltage pulse is applied across the working electrode of an electrochemical cell and the response current is measured. The presented method estimates the transfer function of the multichannel voltammetric system with five working electrodes and tea infusion as analyte. For parameter estimation, the Gauss-Newton algorithm is applied on the measured input-output data from the system. Afterwards, the transfer function is decomposed into its equivalent circuit counterpart using network synthesis. The circuit responses for different tea samples are presented to principal component analysis to assess clustering tendency among the derived circuit parameters. The cross-validation of the circuit is performed using the electrochemical impedance spectroscopy method where a correlation value of 0.85 has been obtained with the proposed circuit parameters.