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Analytical assessment of sodium ISFET based sensors for sweat analysis

Rovira, Meritxell; Lafaye, Céline; Wang, Shu; Fernandez-Sanchez, Cesar; Saubade, Mathieu; Liu, Shih-Chii; Jimenez-Jorquera, Cecilia (2023). Analytical assessment of sodium ISFET based sensors for sweat analysis. Sensors and Actuators B: Chemical, 393:134135.

Abstract

Body thermoregulation during exercise induces sweating with the consequent loss of water, electrolytes and other compounds. The use of sweat for bioanalytical purposes has recently widespread because it is an easily accessible biofluid that can be noninvasively collected and/or directly monitored using wearable devices. Different sweat biomarkers can be monitored as indicators of the physiological status of an individual. The concentration of sweat Na+ electrolyte provides information about dehydration or hyponatremia events. Among the different sensor technologies applied for Na+ ion detection in sweat, ion-sensitive field-effect transistors (ISFETs) show superior features in terms miniaturization, key for working with the low volumes of sweat available, robustness, scalability and reproducibility. They also offer fast response and low impedance output signal. This work reports an in-depth study that thoroughly assesses the potential of ISFET sensors for sweat Na+ analysis. Results show a reproducible sensitivity of 60.7 ± 0.5 mV (-Log aNa)− 1, high repeatability, and lifetime up to one month. Sensor reliability is demonstrated by analysing 20 sweat samples and results are compared with the ones provided with the standard ion chromatography technique (IC). The statistical analysis demonstrates that Na+ concentrations estimated with the ISFET sensor and IC are in good agreement showing a relative error of up to 20%. Results demonstrate that the sensor presented in this work can potentially be used for the continuous monitoring of Na+ changes in sweat during exercise.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Electronic, Optical and Magnetic Materials
Physical Sciences > Instrumentation
Physical Sciences > Condensed Matter Physics
Physical Sciences > Surfaces, Coatings and Films
Physical Sciences > Metals and Alloys
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Materials Chemistry
Uncontrolled Keywords:Materials Chemistry, Electrical and Electronic Engineering, Metals and Alloys, Surfaces, Coatings and Films, Condensed Matter Physics, Instrumentation, Electronic, Optical and Magnetic Materials
Language:English
Date:1 October 2023
Deposited On:31 Jan 2024 09:19
Last Modified:28 Jun 2025 01:54
Publisher:Elsevier
ISSN:0925-4005
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.snb.2023.134135
Project Information:
  • Funder: International Centre for Theoretical Sciences
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  • Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
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  • Project Title:
  • Funder: Ministerio de Ciencia e Innovación
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  • Funder: MICINN
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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