Introduction The aim of this study is to present a step-by-step process that walks through the conceptualization and building of a low-cost (~ $150) monitoring device for airborne fine particulate matter (PM2.5), based on miniaturized sensors and components. Methodology Details on the implementation of the hardware and software are provided which facilitate the data acquisition and analysis. The central components and their setup discussed in what follows include: the sensor device (called “P.ALP” – Ph.D. Air quality Low-cost Project), Arduino IDE (Integrated Development Environment) and R code (open-access software). The devices were tested for accuracy and precision under controlled conditions (type of dust, dust concentrations, temperature, relative humidity) using an aerosol testing chamber (Marple design). Results A monitoring device for PM2.5, based on low-cost sensors and technologies was successfully conceptualized, designed, and implemented. The preliminary tests showed promising results in detecting dust concentration variability and satisfying performances in terms of data storage and operating time. Conclusions The P.ALP monitoring system was designed and developed to be a basic device, which can be further customized and implemented using the wide range of low-cost sensors available on the market.
No takes yet. Share an insight, caveat, or question.
Fanti et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: