Development of a Non-Invasive Glucose Monitoring System using Acetone Gas Detection via Exhaled Breath Analysis and MQ Sensor Integration
- DOI
- 10.2991/978-94-6463-754-0_16How to use a DOI?
- Keywords
- Non-Invasive Glucose Monitoring; Breath Acetone Detection; Glucose Level Estimation; VOC-Based Diabetes Monitoring; MQ-3 Acetone Sensor; MQ-135 Volatile Gas Sensor; ATMEGA328 Microcontroller
- Abstract
This study presents a non-invasive system for monitoring glucose levels by detecting acetone gas in exhaled breath. By eliminating the need for traditional blood-based testing, this approach provides a more comfortable and accessible solution for diabetes management. The system incorporates highly sensitive gas sensors to measure acetone concentration, which serves as a biomarker for glucose levels. An embedded microcontroller processes the sensor data, converting it into meaningful information and controlling system operations. Real-time results are displayed on an intuitive LCD screen, ensuring easy interpretation. Additionally, Bluetooth (HC-05) connectivity enables seamless data transmission to a mobile application, allowing users to monitor their glucose trends conveniently. To validate the system’s effectiveness, graphical representations illustrate the relationship between acetone concentration and estimated glucose levels, highlighting the system’s accuracy. Powered by a rechargeable battery, the device ensures portability and efficiency. With its high sensitivity and reliability, this technology offers a promising alternative for continuous glucose monitoring, enhancing both convenience and precision in diabetes care.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - C. Kavya AU - R. Janis AU - P. Ezilarasi AU - S. Rajesh Kannan PY - 2025 DA - 2025/06/30 TI - Development of a Non-Invasive Glucose Monitoring System using Acetone Gas Detection via Exhaled Breath Analysis and MQ Sensor Integration BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 175 EP - 188 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_16 DO - 10.2991/978-94-6463-754-0_16 ID - Kavya2025 ER -