Date of Publication
2022
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Premed Physics
Subject Categories
Physics
College
College of Science
Department/Unit
Physics
Thesis Advisor
Maria Carla F. Manzano
Defense Panel Chair
Norberto T. Alcantara
Defense Panel Member
Enrique M. Manzano
Gwen B. Castillon
Abstract/Summary
Diabetes is currently the leading cause of death in the world, and is caused by a disordered metabolism that raises blood glucose levels. This cause makes it imperative that researchers in the field of medicine find ways to monitor, prevent, and diagnose people without the need for intrusive, and painful procedures. Volatile organic compounds or VOCs have been studied to be great indicators of metabolic diseases thus allowing a better alternative to the traditional finger pricking method. Acetone, usually found in the blood and breath, has been investigated to be a significant ketone biomarker, which has been found to be an excellent indicator of diabetes mellitus. This study aims to create an Arduino-based biosensor using a TGS822 sensor that would allow the measurement of acetone concentrations in the breath of diabetic and non-diabetic participants and to correlate these findings with their blood glucose levels taken before and after meals. In addition, to validate the correlation, a calibration curve must be created. The study made use of experimental methods, which included six participants, excluding the researchers, who were evenly divided into diabetic and non-diabetic individuals. The researchers also managed to test themselves to generate data to be compared against data taken from the calibration curve. Results show a strong positive correlation between the variables, with an r value of 0.802 and an r squared value of 0.643 for both diabetics and non-diabetics. Additionally, a low error margin was found taken from the calibration curve, thus indicating that acetone could be used to monitor glucose levels in the body, thus leading to the conclusion that breath acetone may be a promising biomarker for diabetes detection.
Abstract Format
html
Language
English
Format
Electronic
Physical Description
99 leaves
Keywords
Blood glucose monitoring
Recommended Citation
De Leon, R. C., & Huang, J. L. (2022). Non-invasive blood glucose monitoring using acetone sensor. Retrieved from https://animorepository.dlsu.edu.ph/etdb_physics/4
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Embargo Period
7-15-2022
