Neurocomputational electrochemical sensing device for predicting properties of a substance

Abstract

A neurocomputational electrochemical sensing device (1) is proposed for predicting properties of a substance. The device (1) comprises: a plurality of electrochemical sensors constituting a sensor array (3), the sensors being sensitive to sensed attributes advantageous to predict a set of properties of interest of the substance, each sensor being configured to output a sensor output signal indicative of a sensor response of the respective sensor to measurable changes in the sensed attributes of the substance; a readout circuit (5) for biasing the sensors and for conditioning the sensor output signals into readout circuit output signals to facilitate further processing of the sensor responses; and an artificial neural network processor (7) for processing the readout circuit output signals, the processor (7) comprising neurons interconnected by synapses, the processor (7) being configured to output a set of processor output signals whose signal values are indicative of the properties to predict. The sensor array (3) comprises first electrochemical sensors selective to properties correlated with the desired properties to predict, and second electrochemical sensors sensitive primarily to the main interferents of the substance. The neurons and/or the synapses are configured to be trained to compensate for sensor drift and/or cross-sensitivities upon generating the processor output signals.