Advanced air quality monitoring: PM and ozone with Raspberry Pi and Arduino

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Publicado en:SN Applied Sciences vol. 7, no. 5 (May 2025), p. 436
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Springer Nature B.V.
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Acceso en liña:Citation/Abstract
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022 |a 2523-3971 
024 7 |a 10.1007/s42452-025-06724-9  |2 doi 
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045 2 |b d20250501  |b d20250531 
245 1 |a Advanced air quality monitoring: PM and ozone with Raspberry Pi and Arduino 
260 |b Springer Nature B.V.  |c May 2025 
513 |a Journal Article 
520 3 |a BackgroundThere is a rising issue of pollution in the atmosphere. Particulate matter, CO, CO2, NO, NO2, ozone etc. are causing adverse impacts to the surrounding and the well-being of every individual living across the entire globe. Therefore, there is a stringent need to be aware of these atmospheric pollutants for safeguarding the quality of air that we human being breathe in.MaterialsIn this work, we integrate microcontrollers like Arduino Uno and Raspberry Pi along with the primary measuring sensors like ozone sensor and PM7003 sensor for carrying out characterization of air quality and variability investigation of several traits/parameters by including but not limited to temperature, pressure, humidity, PM1, PM2.5, PM10, and ozone. By deploying Arduino Uno, Raspberry Pi and other miscellaneous components, we developed an interactive and effective method for collecting practical data corresponding to the quality of air.Results and discussionFirst, we present our experimental set-up along with its observations made using the set-up for the several parameters considered for measuring the air quality. Then, we present the graphical comparative study of traits/parameters like temperature, pressure, humidity, PM1, PM2.5, PM10, and ozone. Then, we present the summary of observations made for the major pollutants for characterization of air quality and variability investigation. Then, we carry out the case study using three different types of sensors like temperature, MQ2, and MQ4 sensors as an extension of the major segment of our work. Finally, the performance validation of measurement was done using four common performance indicators.Article HighlightsThe article highlights are presented in the following three pointers:<list list-type="bullet"><list-item></list-item>By using two microcontrollers in our design, the air quality monitoring endeavors by us are of much reliable, accomplishing proper balance between the data acquisition and complex data handling.<list-item>With insights derived out of this work, better understanding of the relationship between the climatic/ environmental conditions and hazard-causing pollutants is made possible.</list-item><list-item>With the better quantification of air quality contaminants through our work, several air-borne diseases can be prevented by adopting counter measures to maintain human’s health condition.</list-item> 
610 4 |a Raspberry Pi Ltd 
653 |a Microcontrollers 
653 |a Data acquisition 
653 |a Ozone 
653 |a Sensors 
653 |a Humidity 
653 |a Nitrogen dioxide 
653 |a Air pollution 
653 |a Contaminants 
653 |a Monitoring systems 
653 |a Air monitoring 
653 |a Internet of Things 
653 |a Emission measurements 
653 |a Air quality measurements 
653 |a Surveillance 
653 |a Pollutants 
653 |a Investigations 
653 |a Air quality 
653 |a Environmental conditions 
653 |a Outdoor air quality 
653 |a Carbon dioxide 
653 |a Particulate emissions 
653 |a Particulate matter 
653 |a Comparative studies 
653 |a Embedded systems 
653 |a Atmosphere 
653 |a Literature reviews 
653 |a Parameters 
653 |a Environmental 
773 0 |t SN Applied Sciences  |g vol. 7, no. 5 (May 2025), p. 436 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3203315504/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3203315504/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3203315504/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch