I. Introduction
Nowadays, many of the activities of daily life such as the use of electricity at home depends mostly on non-renewable fuel power plants (coal, natural gas, etc.) [1]. However, these technologies generate harmful residues which are introduced into the atmosphere causing adverse effects on human health and the environment. Currently, air pollution in urban areas has a dynamic and complex behavior, being caused by a mixture of natural and anthropogenic (human-made) pollutant sources [2]. The most common air pollutants found are: particulate matter (PM) which includes PM10 (aerodynamic diameter ≤ 10 micrometers) and PM2.5 (aerodynamic diameter ≤ 2.5 micrometers), ozone (O3), sulfur dioxide (SO2), nitrogen oxides (NOx), carbon monoxide (CO) and lead [3]. Air pollution attributed deaths in 2019 were estimated to be approximately 6.7 million worldwide [4]. To determine the concentration levels and of pollutants with the highest concentration levels in each locality, a PM monitoring is necessary [3], [5], [6]. In addition, PM10 and PM2.5 are considered highly harmful to health. Furthermore, due to its size, PM2.5 can easily enter the respiratory system and subsequently cause cardiovascular problems by inducing an inflammatory condition in the system or affecting the autonomic nervous system [7]. Therefore, it is important to monitor and take care of PM exposure using personal monitor PM sensors. However, a disadvantage of personal systems for PM monitoring is the high acquisition cost, complex calibration process requiring shipment of equipment, process delay, and additional costs.