Screen-Printed Electrodes Testing for Detection of Potential Stress Biomarkers in Sweat

Detection of stress biomarkers molecules, non-invasively, through (non-induced) sweat sampling is an important research field since sweat is a potential diagnostic fluid for early and continuous human health monitoring, not only for stress-related conditions directly but also for other pathologies (...

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Veröffentlicht in:Electrocatalysis 2022-05, Vol.13 (3), p.299-305
Hauptverfasser: Nunes, Maria João, Valério, Gabriel N., Samhan-Arias, Alejandro, Moura, José J. G., Rouco, Carlos, Sousa, João Paulo, Cordas, Cristina M.
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container_end_page 305
container_issue 3
container_start_page 299
container_title Electrocatalysis
container_volume 13
creator Nunes, Maria João
Valério, Gabriel N.
Samhan-Arias, Alejandro
Moura, José J. G.
Rouco, Carlos
Sousa, João Paulo
Cordas, Cristina M.
description Detection of stress biomarkers molecules, non-invasively, through (non-induced) sweat sampling is an important research field since sweat is a potential diagnostic fluid for early and continuous human health monitoring, not only for stress-related conditions directly but also for other pathologies (e.g., associated with chronic diseases). The simultaneous detection of multiple potential biomarkers in sweat samples, using simple and low-cost electrochemical methods (detecting patterns or “electrochemical fingerprints”) requiring no sample preparation and its correlation with physiological conditions, is an attractive methodology but not readily achievable. Several of these potential biomarkers’ electrochemical response presents very close oxidation potentials, among other factors that hamper the detection, such as pH dependence of the electrochemical response or partial adsorption on electrode surfaces. Disposable screen-printed electrode materials, with relatively low-cost, could be useful to overcome the difficulties. A set of selected potential stress-related (non-protein) biomarkers (tyrosine, phenylalanine, dopamine, serotonin, and hydrocortisone) was used in the current study for qualitative electrochemical detection on different screen-printed carbon-based electrodes. The detection was attained in simulated sweat solutions and real sweat samples. The goal was to evaluate the electrochemical response on the different surfaces and determine the most suitable carbon-based screen-printed electrodes that may be used in future sensing devices. Graphical Abstract
doi_str_mv 10.1007/s12678-022-00709-7
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The simultaneous detection of multiple potential biomarkers in sweat samples, using simple and low-cost electrochemical methods (detecting patterns or “electrochemical fingerprints”) requiring no sample preparation and its correlation with physiological conditions, is an attractive methodology but not readily achievable. Several of these potential biomarkers’ electrochemical response presents very close oxidation potentials, among other factors that hamper the detection, such as pH dependence of the electrochemical response or partial adsorption on electrode surfaces. Disposable screen-printed electrode materials, with relatively low-cost, could be useful to overcome the difficulties. A set of selected potential stress-related (non-protein) biomarkers (tyrosine, phenylalanine, dopamine, serotonin, and hydrocortisone) was used in the current study for qualitative electrochemical detection on different screen-printed carbon-based electrodes. The detection was attained in simulated sweat solutions and real sweat samples. The goal was to evaluate the electrochemical response on the different surfaces and determine the most suitable carbon-based screen-printed electrodes that may be used in future sensing devices. 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subjects Biomarkers
Carbon
Catalysis
Chemistry
Chemistry and Materials Science
Dopamine
Electrochemical analysis
Electrochemistry
Electrode materials
Electrodes
Energy Systems
Hydrocortisone
Low cost
Original Research
Oxidation
Phenylalanine
Physical Chemistry
Sensors
Serotonin
Sweat
Tyrosine
title Screen-Printed Electrodes Testing for Detection of Potential Stress Biomarkers in Sweat
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