Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices

Currently, it is necessary to maintain the quality of aquifers and water bodies, which means the need for sensors that detect molecules as emerging pollutants (EPs) at low concentrations in aqueous complex solutions. In this work, an electronic tongue (e-tongue) prototype was developed to detect 17β...

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Main Authors: Tiago Reis, Maria Helena Fino, Maria Raposo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/2/481
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author Tiago Reis
Maria Helena Fino
Maria Raposo
author_facet Tiago Reis
Maria Helena Fino
Maria Raposo
author_sort Tiago Reis
collection DOAJ
description Currently, it is necessary to maintain the quality of aquifers and water bodies, which means the need for sensors that detect molecules as emerging pollutants (EPs) at low concentrations in aqueous complex solutions. In this work, an electronic tongue (e-tongue) prototype was developed to detect 17β-estradiol in tap water. To achieve such a prototype, an array of sensors was prepared. Each sensor consists of a solid support with interdigitated electrodes without or with thin films prepared with graphene oxide, nanotubes, and other polyelectrolytes molecules adsorbed on them. To collect data from each sensor, impedance spectroscopy was used to analyze the electrical characteristics of samples of estrogen solutions with different concentrations. To analyze the collected data from the sensors, principal components analysis (PCA) method was used to create a three-dimensional plane using the calculated principal components, namely PC1 and PC2, and the estrogen concentration values. Then, damped least squares (DLS) was used to find the optimal values for the hyperplane calibration, as the sensitivity of this e-tongue was not represented by a straight line but by a surface. For the collected data, from nanotubes and graphene oxide sensors, a calibration curve for concentration given by the 10<sup>PC1×0.492−PC2×0.14–14.5</sup> surface was achieved. This e-tongue presented a detection limit of 10<sup>−16</sup> M of 17β-estradiol in tap water.
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spelling doaj.art-bc3b41e54a114baf8af06e357c48371d2024-01-29T14:15:10ZengMDPI AGSensors1424-82202024-01-0124248110.3390/s24020481Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex MatricesTiago Reis0Maria Helena Fino1Maria Raposo2Laboratory of Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, PortugalCentre for Technology and Systems (LASI-CTS), UNINOVA, Department of Electrotechnical and Computer Engineering, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, PortugalLaboratory of Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, PortugalCurrently, it is necessary to maintain the quality of aquifers and water bodies, which means the need for sensors that detect molecules as emerging pollutants (EPs) at low concentrations in aqueous complex solutions. In this work, an electronic tongue (e-tongue) prototype was developed to detect 17β-estradiol in tap water. To achieve such a prototype, an array of sensors was prepared. Each sensor consists of a solid support with interdigitated electrodes without or with thin films prepared with graphene oxide, nanotubes, and other polyelectrolytes molecules adsorbed on them. To collect data from each sensor, impedance spectroscopy was used to analyze the electrical characteristics of samples of estrogen solutions with different concentrations. To analyze the collected data from the sensors, principal components analysis (PCA) method was used to create a three-dimensional plane using the calculated principal components, namely PC1 and PC2, and the estrogen concentration values. Then, damped least squares (DLS) was used to find the optimal values for the hyperplane calibration, as the sensitivity of this e-tongue was not represented by a straight line but by a surface. For the collected data, from nanotubes and graphene oxide sensors, a calibration curve for concentration given by the 10<sup>PC1×0.492−PC2×0.14–14.5</sup> surface was achieved. This e-tongue presented a detection limit of 10<sup>−16</sup> M of 17β-estradiol in tap water.https://www.mdpi.com/1424-8220/24/2/481e-tonguegraphene oxidepolyelectrolyteslayer-by-layer filmsimpedance spectroscopyemerging pollutants
spellingShingle Tiago Reis
Maria Helena Fino
Maria Raposo
Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
Sensors
e-tongue
graphene oxide
polyelectrolytes
layer-by-layer films
impedance spectroscopy
emerging pollutants
title Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
title_full Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
title_fullStr Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
title_full_unstemmed Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
title_short Graphene Oxide, Carbon Nanotubes, and Polyelectrolytes-Based Impedanciometric E-Tongue for Estrogen Detection in Complex Matrices
title_sort graphene oxide carbon nanotubes and polyelectrolytes based impedanciometric e tongue for estrogen detection in complex matrices
topic e-tongue
graphene oxide
polyelectrolytes
layer-by-layer films
impedance spectroscopy
emerging pollutants
url https://www.mdpi.com/1424-8220/24/2/481
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AT mariahelenafino grapheneoxidecarbonnanotubesandpolyelectrolytesbasedimpedanciometricetongueforestrogendetectionincomplexmatrices
AT mariaraposo grapheneoxidecarbonnanotubesandpolyelectrolytesbasedimpedanciometricetongueforestrogendetectionincomplexmatrices