Szczegóły publikacji
Opis bibliograficzny
Accuracy and equivalence of particle number concentration measurements $(0.3–10 \mu m)$ from a low-cost sensirion SPS30 compared with the OPS 3330 under field conditions / Tomasz GORZELNIK, Mateusz RZESZUTEK, Jakub BARTYZEL, Paweł JAGODA, Tomasz PEŁECH-PILICHOWSKI // Sustainability [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2071-1050 . — 2026 — vol. 18 iss. 16 art. no. 8097, s. 1–28. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 25–28, Abstr. — Publikacja dostępna online od: 2026-08-08
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169623 |
|---|---|
| Data dodania do BaDAP | 2026-09-28 |
| Tekst źródłowy | URL |
| DOI | 10.3390/su18168097 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Sustainability |
Abstract
Mass concentrations of particulate matter are a fundamental metric for air quality and health impact assessment; however, they are insufficient for accurately characterizing exposure. They do not capture particle size distribution or number concentration. Therefore, aerosol assessment should include particle number concentration (PNC), which better represents toxicologically relevant fractions and enables more precise source identification. The aim of this study was to conduct a comprehensive evaluation of particle number concentration (PNC) measurements in the 0.3–10 µm size range obtained using three low-cost Sensirion SPS30 particle sensors under field conditions in an urban environment. The analyses included an assessment of agreement between the SPS30 sensors, an evaluation of their measurement performance against the OPS 3330 optical particle spectrometer, and the development of calibration models. The SPS30 sensors showed high inter-device repeatability for PNC in the 0.3–1.0 µm range (CVd < 2%). However, measurement performance declined with increasing particle size, with the index of agreement (IOA) decreasing from 0.8 (0.3–0.5 µm) to −0.5 (2.5–10 µm). Sensor accuracy was influenced by meteorological conditions: relative humidity primarily affected short-term variability (precision and dynamic agreement), while temperature controlled systematic bias. Although incorporating these variables into advanced calibration models improved performance, SPS30 sensors remained unsuitable for PNC measurements in the 2.5–10 µm range, exhibiting systematic errors of ~25% even after nonlinear correction. The findings support the responsible use of low-cost particle sensors for supplementary air quality monitoring, contributing to accessible environmental data and sustainable urban air quality management.
