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One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors

Irregularities in breathing patterns can be detected using breath monitor sensors, and this help clinicians to predict health disorders ranging from sleep disorders to heart failures. Variations in humidity during the inhalation and exhalation of breath have been utilized as a marker to detect breat...

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Autores principales: Lim, Wei Yin, Goh, Choon-Hian, Yap, Keenan Zhihong, Ramakrishnan, Narayanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953765/
https://www.ncbi.nlm.nih.gov/pubmed/36831975
http://dx.doi.org/10.3390/bios13020209
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author Lim, Wei Yin
Goh, Choon-Hian
Yap, Keenan Zhihong
Ramakrishnan, Narayanan
author_facet Lim, Wei Yin
Goh, Choon-Hian
Yap, Keenan Zhihong
Ramakrishnan, Narayanan
author_sort Lim, Wei Yin
collection PubMed
description Irregularities in breathing patterns can be detected using breath monitor sensors, and this help clinicians to predict health disorders ranging from sleep disorders to heart failures. Variations in humidity during the inhalation and exhalation of breath have been utilized as a marker to detect breath patterns, and graphene-based devices are the favored sensing media for relative humidity (RH). In general, most graphene-based RH sensors have been used to explore resistance change as a measurement parameter to calibrate against the RH value, and they are prone to noise interference. Here, we fabricated RH sensors using graphene ink as a sensing medium and printed them in the shape of interdigital electrodes on glossy paper using an office inkjet printer. Further, we investigated the capacitance change in the sensor for the RH changes in the range of 10–70%. It exhibited excellent sensitivity with 0.03 pF/% RH, good stability, and high intraday and interday repeatability, with relative standard deviations of 1.2% and 2.2%, respectively. Finally, the sensor was embedded into a face mask and interfaced with a microcontroller, and capacitance change was measured under three different breathing situations: normal breathing, deep breathing, and coughing. The result show that the dominant frequency for normal breath is 0.22 Hz, for deep breath, it is 0.11 Hz, and there was no significant dominant cough frequency due to persistent coughing and inconsistent patterns. Moreover, the sensor exhibited a short response and recovery time (<5 s) during inhalation and exhalation. Thus, the proposed paper-based RH sensor is promising wearable and disposable healthcare technology for clinical and home care health applications.
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spelling pubmed-99537652023-02-25 One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors Lim, Wei Yin Goh, Choon-Hian Yap, Keenan Zhihong Ramakrishnan, Narayanan Biosensors (Basel) Article Irregularities in breathing patterns can be detected using breath monitor sensors, and this help clinicians to predict health disorders ranging from sleep disorders to heart failures. Variations in humidity during the inhalation and exhalation of breath have been utilized as a marker to detect breath patterns, and graphene-based devices are the favored sensing media for relative humidity (RH). In general, most graphene-based RH sensors have been used to explore resistance change as a measurement parameter to calibrate against the RH value, and they are prone to noise interference. Here, we fabricated RH sensors using graphene ink as a sensing medium and printed them in the shape of interdigital electrodes on glossy paper using an office inkjet printer. Further, we investigated the capacitance change in the sensor for the RH changes in the range of 10–70%. It exhibited excellent sensitivity with 0.03 pF/% RH, good stability, and high intraday and interday repeatability, with relative standard deviations of 1.2% and 2.2%, respectively. Finally, the sensor was embedded into a face mask and interfaced with a microcontroller, and capacitance change was measured under three different breathing situations: normal breathing, deep breathing, and coughing. The result show that the dominant frequency for normal breath is 0.22 Hz, for deep breath, it is 0.11 Hz, and there was no significant dominant cough frequency due to persistent coughing and inconsistent patterns. Moreover, the sensor exhibited a short response and recovery time (<5 s) during inhalation and exhalation. Thus, the proposed paper-based RH sensor is promising wearable and disposable healthcare technology for clinical and home care health applications. MDPI 2023-01-30 /pmc/articles/PMC9953765/ /pubmed/36831975 http://dx.doi.org/10.3390/bios13020209 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lim, Wei Yin
Goh, Choon-Hian
Yap, Keenan Zhihong
Ramakrishnan, Narayanan
One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title_full One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title_fullStr One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title_full_unstemmed One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title_short One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors
title_sort one-step fabrication of paper-based inkjet-printed graphene for breath monitor sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953765/
https://www.ncbi.nlm.nih.gov/pubmed/36831975
http://dx.doi.org/10.3390/bios13020209
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