First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP Assessment
Author:
Fanti Giacomo1ORCID, Borghi Francesca2ORCID, Wolfe Cody3, Campagnolo Davide1ORCID, Patts Justin3, Cattaneo Andrea1ORCID, Spinazzè Andrea1ORCID, Cauda Emanuele3, Cavallo Domenico Maria1
Affiliation:
1. Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, Italy 2. Department of Medical and Surgical Sciences, University of Bologna, Via Palagi 9, 40138 Bologna, Italy 3. Center for Direct Reading and Sensor Technologies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Pittsburgh, PA 15236, USA
Abstract
The goal of the present research was to assess, under controlled laboratory conditions, the accuracy and precision of a prototype device (named ‘P.ALP’: Ph.D. Air-quality Low-cost Project) developed for PM2.5 concentration level monitoring. Indeed, this study follows a complementary manuscript (previously published) focusing on the in-field evaluation of the device’s performance. Four P.ALP prototypes were co-located with the reference instrument in a calm-air aerosol chamber at the NIOSH laboratories in Pittsburgh, PA (USA), used by the Center for Direct Reading and Sensor Technologies. The devices were tested for 10 monitoring days under several exposure conditions. To evaluate the performance of the prototypes, different approaches were employed. After the data from the devices were stored and prepared for analysis, to assess the accuracy (comparing the reference instrument with the prototypes) and the precision (comparing all the possible pairs of devices) of the P.ALPs, linear regression analysis was performed. Moreover, to find out the applicability field of this device, the US EPA’s suggested criteria were adopted, and to assess error trends of the prototype in the process of data acquisition, Bland–Altman plots were built. The findings show that, by introducing ad hoc calibration factors, the P.ALP’s performance needs to be further implemented, but the device can monitor the concentration trend variations with satisfying accuracy. Overall, the P.ALP can be involved in and adapted to a wide range of applications because of the inexpensive nature of the components, the small dimensions, and the high data storage capacity.
Reference39 articles.
1. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study;Roth;J. Am. Coll. Cardiol.,2020 2. European Environment Agency, González Ortiz, A., and Cristina Guerrero, J.S. (2020). Air Quality in Europe—2020 Report, Office of the European Union. 3. Clements, A., Duvall, R., Greene, D., and Dye, T. (2022). The Enhanced Air Sensor Guidebook. 4. The Global Burden of Disease Due to Outdoor Air Pollution;Cohen;J. Toxicol. Environ. Health,2005 5. Ali, N., and Islam, F. (2020). The Effects of Air Pollution on COVID-19 Infection and Mortality—A Review on Recent Evidence. Front. Public Health, 8.
|
|