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
Author:Daniel StollORCiD, Sergiy AntonyukORCiD, Maximilian Kerner, Simon Paas
URN:urn:nbn:de:hbz:386-kluedo-77514
DOI:https://doi.org/10.3390/asi6040069
Parent Title (English):Applied system innovation
Publisher:MDPI
Editor:Daniel StollORCiD
Translator:Daniel StollORCiD
Contributor(s):Maximilian Kerner, Sergiy AntonyukORCiD, Simon Paas
Document Type:Article
Language of publication:English
Date of Publication (online):2023/08/08
Year of first Publication:2023
Publishing Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Date of the Publication (Server):2024/03/05
Issue:6/4
Article Number:69
Page Number:12
Source:https://doi.org/10.3390/asi6040069
Faculties / Organisational entities:Kaiserslautern - Fachbereich Maschinenbau und Verfahrenstechnik
DDC-Cassification:6 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften und Maschinenbau
Collections:Open-Access-Publikationsfonds
Licence (German):Zweitveröffentlichung