Non-invasive blood glucose monitoring using CO2 breath analyzer

Diabetes, a metabolic disease that is characterized by abnormally high levels of blood glucose levels, has a 6% of the world’s attributed death causes. Catering to this disease requires constant monitoring of blood sugar. However, invasive processes are the most prevalent method of monitoring and ha...

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Main Authors: Adan, Jewel Mei Luna, Hernandez, Nellene Kyla Santos
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Language:English
Published: Animo Repository 2022
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Online Access:https://animorepository.dlsu.edu.ph/etdb_physics/8
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1005&context=etdb_physics
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etdb_physics-10052023-01-17T01:16:27Z Non-invasive blood glucose monitoring using CO2 breath analyzer Adan, Jewel Mei Luna Hernandez, Nellene Kyla Santos Diabetes, a metabolic disease that is characterized by abnormally high levels of blood glucose levels, has a 6% of the world’s attributed death causes. Catering to this disease requires constant monitoring of blood sugar. However, invasive processes are the most prevalent method of monitoring and have inevitably caused discomfort and fear of psychological anticipation of pain. Non-invasive methods are being developed as a better alternative for blood glucose monitoring and to do so, this study aims to utilize exhaled carbon dioxide concentration as a means to monitor blood sugar levels, in such a way that a correlation between exhaled carbon dioxide and blood sugar levels is established and a calibration curve is generated. The methodology of the study required 12 participants, including, non-diabetics, pre-diabetics, and diabetics. Their blood sugar levels were monitored using the conventional finger-prick method and the exhaled carbon dioxide concentration was measured using the CDM7160-C00 carbon dioxide sensor, at which they breathe for 1 minute, during 3 time periods. Analysis of the data required the Linear Regression Analysis. Results show that there is a linear relationship between exhaled carbon dioxide concentration and blood glucose level, with a negative regression coefficient. The derived linear regression equation is 𝑦 = − 0. 0076𝑥 + 357. 6, where y is the blood glucose level in mg/dL and x is the carbon dioxide concentration in ppm. This indicates that exhaled carbon dioxide decreases as blood glucose levels rise. The housing and sensor can also be used to estimate blood glucose levels. 2022-07-15T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_physics/8 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1005&context=etdb_physics Physics Bachelor's Theses English Animo Repository Blood glucose monitoring Physics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Blood glucose monitoring
Physics
spellingShingle Blood glucose monitoring
Physics
Adan, Jewel Mei Luna
Hernandez, Nellene Kyla Santos
Non-invasive blood glucose monitoring using CO2 breath analyzer
description Diabetes, a metabolic disease that is characterized by abnormally high levels of blood glucose levels, has a 6% of the world’s attributed death causes. Catering to this disease requires constant monitoring of blood sugar. However, invasive processes are the most prevalent method of monitoring and have inevitably caused discomfort and fear of psychological anticipation of pain. Non-invasive methods are being developed as a better alternative for blood glucose monitoring and to do so, this study aims to utilize exhaled carbon dioxide concentration as a means to monitor blood sugar levels, in such a way that a correlation between exhaled carbon dioxide and blood sugar levels is established and a calibration curve is generated. The methodology of the study required 12 participants, including, non-diabetics, pre-diabetics, and diabetics. Their blood sugar levels were monitored using the conventional finger-prick method and the exhaled carbon dioxide concentration was measured using the CDM7160-C00 carbon dioxide sensor, at which they breathe for 1 minute, during 3 time periods. Analysis of the data required the Linear Regression Analysis. Results show that there is a linear relationship between exhaled carbon dioxide concentration and blood glucose level, with a negative regression coefficient. The derived linear regression equation is 𝑦 = − 0. 0076𝑥 + 357. 6, where y is the blood glucose level in mg/dL and x is the carbon dioxide concentration in ppm. This indicates that exhaled carbon dioxide decreases as blood glucose levels rise. The housing and sensor can also be used to estimate blood glucose levels.
format text
author Adan, Jewel Mei Luna
Hernandez, Nellene Kyla Santos
author_facet Adan, Jewel Mei Luna
Hernandez, Nellene Kyla Santos
author_sort Adan, Jewel Mei Luna
title Non-invasive blood glucose monitoring using CO2 breath analyzer
title_short Non-invasive blood glucose monitoring using CO2 breath analyzer
title_full Non-invasive blood glucose monitoring using CO2 breath analyzer
title_fullStr Non-invasive blood glucose monitoring using CO2 breath analyzer
title_full_unstemmed Non-invasive blood glucose monitoring using CO2 breath analyzer
title_sort non-invasive blood glucose monitoring using co2 breath analyzer
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/etdb_physics/8
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1005&context=etdb_physics
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