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Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure

Bibliographic Data

ID15475945
AuthorsSander Ruiter (Netherlands Organisation for Applied Scientific Research, corresponding author), Eelco Kuijpers (0000-0002-9033-7605, Netherlands Organisation for Applied Scientific Research), John Saunders (0000-0003-3020-9916, Health & Safety Laboratory), John Snawder (0000-0003-3604-186X, Centers for Disease Control and Prevention), Nick Warren (Health & Safety Laboratory), Jean-Philippe Gorce (Health & Safety Laboratory), M Blom (Netherlands Organisation for Applied Scientific Research), Tanja Krone (0000-0003-4902-9907, Netherlands Organisation for Applied Scientific Research), Delphine Bard (Health & Safety Laboratory), Delphine Bard-Hagberg (0000-0002-8733-987X, Health & Safety Laboratory), Anjoeka Pronk (0000-0001-8652-2464, Netherlands Organisation for Applied Scientific Research), Emanuele Cauda (0000-0003-0339-8504, Centers for Disease Control and Prevention)
Year2020
Volume17
Issue22
Pages8602-8602
Publication date2020-11-19
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17228602
PMID33228125
OpenAlexW3098904968
LanguageEN
References cited1

(1) Background: Small, lightweight, low-cost optical particulate matter (PM) monitors are becoming popular in the field of occupational exposure monitoring, because these devices allow for real-time static measurements to be collected at multiple locations throughout a work site as well as being used as wearables providing personal exposure estimates. Prior to deployment, devices should be evaluated to optimize and quantify measurement accuracy. However, this can turn out to be difficult, as no standardized methods are yet available and different deployments may require different evaluation procedures. To gain insight in the relevance of different variables that may affect the monitor readings, six PM monitors were selected based on current availability and evaluated in the laboratory; (2) Methods: Existing strategies that were judged appropriate for the evaluation of PM monitors were reviewed and seven evaluation variables were selected, namely the type of dust, within- and between-device variations, nature of the power supply, temperature, relative humidity, and exposure pattern (peak and constant). Each variable was tested and analyzed individually and, if found to affect the readings significantly, included in a final correction model specific to each monitor. Finally, the accuracy for each monitor after correction was calculated; (3) Results: The reference materials and exposure patterns were found to be main factors needing correction for most monitors. One PM monitor was found to be sufficiently accurate at concentrations up to 2000 μg/m 3 PM 2.5 , with other monitors appropriate at lower concentrations. The average accuracy increased by up to three-fold compared to when the correction model did not include evaluation variables; (4) Conclusions: Laboratory evaluation and readings correction can greatly increase the accuracy of PM monitors and set boundaries for appropriate use. However, this requires identifying the relevant evaluation variables, which are heavily reliant on how the monitors are used in the workplace. This, together with the lack of current consensus on standardized procedures, shows the need for harmonized PM monitor evaluation methods for occupational exposure monitoring

Embedded system · Exposure assessment · Particulates · Reliability engineering · Simulation · Software deployment · Statistics · Wearable computer · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Computer Science · Engineering · Environmental Science · Mathematics · Vehicle emissions and performance

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