Literature DB >> 33353048

Comparison of Low-Cost Particulate Matter Sensors for Indoor Air Monitoring during COVID-19 Lockdown.

Miron Kaliszewski1, Maksymilian Włodarski1, Jarosław Młyńczak1, Krzysztof Kopczyński1.   

Abstract

This study shows the results of air monitoring in high- and low-occupancy rooms using two combinations of sensors, AeroTrak8220(TSI)/OPC-N3 (AlphaSense, Great Notley, UK) and OPC-N3/PMS5003 (Plantower, Beijing, China), respectively. The tests were conducted in a flat in Warsaw during the restrictions imposed due to the COVID-19 lockdown. The results showed that OPC-N3 underestimates the PN (particle number concentration) by about 2-3 times compared to the AeroTrak8220. Subsequently, the OPC-N3 was compared with another low-cost sensor, the PMS5003. Both devices showed similar efficiency in PN estimation, whereas PM (particulate matter) concentration estimation differed significantly. Moreover, the relationship among the PM1-PM2.5-PM10 readings obtained with the PMS5003 appeared improbably linear regarding the natural indoor conditions. The correlation of PM concentrations obtained with the PMS5003 suggests an oversimplified calculation method of PM. The studies also demonstrated that PM1, PM2.5, and PM10 concentrations in the high- to low-occupancy rooms were about 3, 2, and 1.5 times, respectively. On the other hand, the use of an air purifier considerably reduced the PM concentrations to similar levels in both rooms. All the sensors showed that frying and toast-making were the major sources of particulate matter, about 10 times higher compared to average levels. Considerably lower particle levels were measured in the low-occupancy room.

Entities:  

Keywords:  PM; aerosol sources; human activity; indoor air; low-cost particle sensors

Year:  2020        PMID: 33353048      PMCID: PMC7766947          DOI: 10.3390/s20247290

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Impacts of the COVID-19 lockdown on building energy consumption and indoor environment: A case study in Dalian, China.

Authors:  Yuan Su; Haoyuan Cheng; Zhe Wang; Linwei Wang
Journal:  Energy Build       Date:  2022-03-28       Impact factor: 7.201

2.  The Influence of Air Humidity on the Output Signal from an Ionization Smoke Detector in the Presence of Soot Nanoparticles.

Authors:  Tomasz Jankowski; Piotr Sobiech; Szymon Jakubiak
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

3.  Miniature Optical Particle Counter and Analyzer Involving a Fluidic-Optronic CMOS Chip Coupled with a Millimeter-Sized Glass Optical System.

Authors:  Gabriel Jobert; Pierre Barritault; Maryse Fournier; Cyrielle Monpeurt; Salim Boutami; Cécile Jamois; Pietro Bernasconi; Andrea Lovera; Daniele Braga; Christian Seassal
Journal:  Sensors (Basel)       Date:  2021-05-03       Impact factor: 3.576

  3 in total

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