We are excited to share a new, outstanding achievement accomplished by University Of Patras, within the context of TwinAir project!

The article “Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain” has been published at “Sensors” Journal, by MDPI.

The authors of the article are: Georgios Kosmopoulos; Vasileios Salamalikis; Stefan Wilbert; Luis F. Zarzalejo; Natalie Hanrieder; Stylianos Karatzas; Andreas Kazantzidis and its respective DOI is the following: https://doi.org/10.3390/s23146541

The abstract and the keywords of the publication can be found below:


Low-cost sensors (LCSs) for particulate matter (PM) concentrations have attracted the interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal resolution. The precision of PM mass concentration measurements from PMS 5003 sensors has been widely documented, though limited information is available regarding their size selectivity and number concentration measurement accuracy. In this work, PMS 5003 sensors, along with a Federal Referral Methods (FRM) sampler (Grimm spectrometer), were deployed across three sites with different atmospheric profiles, an urban (Germanou) and a background (UPat) site in Patras (Greece), and a semi-arid site in Almería (Spain, PSA). The LCSs particle number concentration measurements were investigated for different size bins. Findings for particles with diameter between 0.3 and 10 μm suggest that particle size significantly affected the LCSs’ response. The LCSs could accurately detect number concentrations for particles smaller than 1 μm in the urban (R2 = 0.9) and background sites (R2 = 0.92), while a modest correlation was found with the reference instrument in the semi-arid area (R2 = 0.69). However, their performance was rather poor (R2 < 0.31) for coarser aerosol fractions at all sites. Moreover, during periods when coarse particles were dominant, i.e., dust events, PMS 5003 sensors were unable to report accurate number distributions (R2 values < 0.47) and systematically underestimated particle number concentrations. The results indicate that several questions arise concerning the sensors’ capabilities to estimate PM2.5 and PM10 concentrations, since their size distribution did not agree with the reference instruments.

Keywords: particulate matter; mass concentration; number concentration; low-cost sensors; sensors’ particle-size selectivity

You can reach the full article following this link: https://www.mdpi.com/1424-8220/23/14/6541