Development of a non-invasive CO2 breath sensor with IoT integration

Mat Junos @ Yunus, Siti Aisah and Mohd Chachuli, Siti Amaniah and Mohamad @ Sulaiman, Hanissah and Mohd Said, Muzalifah and Khairol Annuar, Muhammad Arfan and Shamsudin, Nur Hazahsha (2025) Development of a non-invasive CO2 breath sensor with IoT integration. International Journal of Academic Research in Business and Social Sciences, 15 (1). pp. 732-744. ISSN 2222-6990

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Abstract

Breath analysis offers a non-invasive, rapid, and cost effective method for diagnosing respiratory diseases and monitoring various health conditions. However, non-invasive breath analysis techniques often suffer from lower sensitivity and specificity compared to invasive methods, primarily due to the lack of standardized protocols. While invasive methods provide greater accuracy, they are associated with increased discomfort and risk. This study focuses on enhancing the precision and reliability of non-invasive breath sensors by developing a breath sensor using the commercially available MH-Z14A CO2 sensor. Breath samples were collected from smokers and non-smokers using Tedlar bags and analysed to detect CO2 levels. The sensor’s output was processed through an ESP32, providing real-time CO2 concentration readings. Results revealed that smokers exhibited longer response and recovery times, attributed to elevated CO2 levels, while sensitivity analysis demonstrated the sensor's ability to detect minute variations in CO2 concentrations. These findings underscore the potential of this sensor for non-invasive respiratory monitoring and early detection of respiratory conditions.

Item Type: Article
Uncontrolled Keywords: Breath analyser, Carbon dioxide, IoT, MH-Z14A, Non-invasive, Pulse-width modulation (PWM), Tedlar bag
Divisions: Faculty Of Electronics And Computer Technology And Engineering
Depositing User: Sabariah Ismail
Date Deposited: 09 Apr 2025 16:04
Last Modified: 09 Apr 2025 16:04
URI: http://eprints.utem.edu.my/id/eprint/28608
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