Suitability of Low-Cost Sensors for Submicron Aerosol Particle Measurement

  • The measurement and assessment of indoor air quality in terms of respirable particulate constituents is relevant, especially in light of the COVID-19 pandemic and associated infection events. To analyze indoor infectious potential and to develop customized hygiene concepts, the measurement monitoring of the anthropogenic aerosol spreading is necessary. For indoor aerosol measurements usually standard lab equipment is used. However, these devices are time-consuming, expensive and unwieldy. The idea is to replace this standard laboratory equipment with low-cost sensors widely used for monitoring fine dust (particulate matter—PM). Due to the low acquisition costs, many sensors can be used to determine the aerosol load, even in large rooms. Thus, the aim of this work is to verify the measurement capability of low-cost sensors. For this purpose, two different models of low-cost sensors are compared with established laboratory measuring instruments. The study was performed with artificially prepared NaCl aerosols with a well-defined size and morphology. In addition, the influence of the relative humidity, which can vary significantly indoors, on the measurement capability of the low-cost sensors is investigated. For this purpose, a heating stage was developed and tested. The results show a discrepancy in measurement capability between low-cost sensors and laboratory measuring instruments. This difference can be attributed to the partially different measuring method, as well as the different measuring particle size ranges. The determined measurement accuracy is nevertheless good, considering the compactness and the acquisition price of the low-cost sensors.
Metadaten
Verfasser*innenangaben:Daniel StollORCiD, Sergiy AntonyukORCiD, Maximilian Kerner, Simon Paas
URN:urn:nbn:de:hbz:386-kluedo-77514
DOI:https://doi.org/10.3390/asi6040069
Titel des übergeordneten Werkes (Englisch):Applied system innovation
Verlag:MDPI
Herausgeber*in:Daniel StollORCiD
Übersetzer*in:Daniel StollORCiD
Sonstige beteiligte Person(en):Maximilian Kerner, Sergiy AntonyukORCiD, Simon Paas
Dokumentart:Wissenschaftlicher Artikel
Sprache der Veröffentlichung:Englisch
Datum der Veröffentlichung (online):08.08.2023
Jahr der Erstveröffentlichung:2023
Veröffentlichende Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Datum der Publikation (Server):05.03.2024
Ausgabe / Heft:6/4
Aufsatznummer:69
Seitenzahl:12
Quelle:https://doi.org/10.3390/asi6040069
Fachbereiche / Organisatorische Einheiten:Kaiserslautern - Fachbereich Maschinenbau und Verfahrenstechnik
DDC-Sachgruppen:6 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften und Maschinenbau
Sammlungen:Open-Access-Publikationsfonds
Lizenz (Deutsch):Zweitveröffentlichung