Live Demonstration: An AI-assisted e-tongue for fast and portable fingerprinting of liquids

Abstract

The design of cost-effective and rapid screening sensing systems is key to deliver alternative tools for chemical analysis. Electronic tongues can distinguish complex liquids by combining cross-sensitive sensor arrays with machine learning and have been demonstrated in various chemical sensing applications. In this live demonstration, feature extraction from the transient potentiometric response of an array of low-selective miniaturized polymeric sensors is combined with a data processing pipeline for deployment of trained machine learning models on an edge device. A mobile app allows visualization of raw data and measurement results in addition to reconfiguration of the device based on user selection.