Abstract. Monitoring the quality of drinking water is undoubtedly an issue of global concern. In this sense, the new analytical approaches that incorporate new technologies are without doubt relevant. The aim of this work is to present the evaluation of a smart electronic tongue device as an alternative for qualitative and quantitative monitoring of drinking water. For this, a smart electronic tongue used consisted of cross-sensitive polypyrrole sensor array, coupled to a multi-channel electronic system (multipotentiostat) based on PSoC technology controlled from a smartphone with a data acquisition and control app. This device was used in the monitoring of drinking water from the Sincelejo city aqueduct system and water samples collected and analyzed by the public health agency were used. The voltammetric measurements carried out with the smart electronic tongue showed cross-sensitivity of the polypyrrole sensor array, which allowed the discrimination of the samples through analysis of principal components by artificial neural networks. In addition, the records made with the smart electronic tongue allowed, through partial least square by artificial neural networks estimating the concentrations of some important analytes in the evaluation of the physicochemical quality of drinking water with R2 values higher than 0.70. The results allowed to conclude that the smart electronic tongue constitutes a valuable analytical tool that allows, in a single measure, to perform qualitative and quantitative chemical analysis, it is also a fast, portable method that can complement traditional analyzes.
Abstract. The aim of this work was to evaluate a smart electronic tongue device as an alternative for qualitative and quantitative monitoring of drinking water. The smart electronic tongue consisted of a voltametric polypyrrole sensor array, linked with a multi-channel electronic system (multipotentiostat) based on PSoC (programable system on chip) technology controlled by a smartphone with a data acquisition and control app. This device was used in the monitoring of drinking water from the Sincelejo city water supply system; also, water samples collected and analyzed by the public health agency were used. The voltammetric measurements carried out with the smart electronic tongue showed cross-sensitivity of the polypyrrole sensor array, which allowed the discrimination of the samples through of principal component analysis by artificial neural networks. In addition, the voltammetric signals registered with the smart electronic tongue allowed, through partial least square (PLS) by artificial neural networks analysis, estimating the concentrations of some important analytes in the evaluation of the physicochemical quality of drinking water with R2 values higher than 0.70. The results allowed to conclude that the smart electronic tongue can be a valuable analytical tool that allows, in a single measure, to perform qualitative and quantitative chemical analysis (alkalinity, calcium, residual chlorine, chlorides, total hardness, phosphates, magnesium, and sulfates), it is also a fast, portable method that can complement traditional analyzes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.