The Making of an Air Quality Monitoring System with the use of Arduino Interface and Volatile Organic Compound Sensor
Year: 2025
Type: article
Abstract: Air pollution has become an increasingly prominent issue in our world, specifically in problems towards ecological and public health. Thus, concerns in air quality have risen and a need for an accessible method to evaluate and assess it. The study made use of the experimental design and quantitative method to create an Air Quality Monitoring System with the use of Arduino Interface and Volatile Organic Compound Sensor. This device aims to address the problem of air pollution by providing a cost-effective but efficient way to determine the air quality in a space, yielding proper reports regarding whether or not the condition of the air is acceptable or not. The device was observed to be able to detect atmospheric particulate matter with a 98.29 percentage of accuracy, and exhibited minimal delay in displaying data on its liquid crystal display (LCD). Additionally, the response time of the buzzer after detecting an air pollutant had the slightest delay in response, with an average of 2.21 seconds. The Air Quality Monitoring System utilizes Arduino, an accessible and easy-to-use microcontroller software for compact devices, as well as a Volatile Organic Compound Sensor, which possesses the ability to detect volatile organic compounds in the area. The results of this study indicate that the Air Quality Monitoring System can detect atmospheric particulate matter accurately. The real-time speed in displaying the data and the response time of the buzzer both had little to no delay as well. Lastly, the Air Quality Monitoring System can be improved by implementing a larger visual display to show more extensive information and data to the user.
Authors: Noemi F. Formaran, Steven Isaac M. Bartolome, Robin Kurt C. Aquino, Calvin Christian F. Manalo, Kaycel Ashley G. Ramiro, Alyanna Beatrice M. Samson, Rodney A. Tolentino, Jethro Stephen M. Villacote
Institution: Philippine School Doha
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410077911