Evaluation of an Air Cleaning Device Equipped with Filtration and UV: Comparison of Removal Efficiency on Particulate Matter and Viable Airborne Bacteria in the Inlet and Treated Air


Li P. Koziel J.A. Macedo N. Zimmerman J.J. Wrzesinski D. Sobotka E. Balderas M. Walz W.B. Paris R.V. Lee M. Liu D. Yedilbayev B. Ramirez B.C. Jenks W.S.
December 2022MDPI

International Journal of Environmental Research and Public Health
2022#19Issue 23

Since the COVID-19 pandemic, improving indoor air quality (IAQ) has become vital for the public as COVID-19 and other infectious diseases can transmit via inhalable aerosols. Air cleaning devices with filtration and targeted pollutant treatment capabilities can help improve IAQ. However, only a few filtration/UV devices have been formally tested for their effectiveness, and little data is publicly available and UV doses comparable. In this research, we upgraded a particulate matter (PM) air filtration prototype by adding UV-C (germicidal) light. We developed realistic UV dose metrics for fast-moving air and selected performance scenarios to quantify the mitigation effect on viable airborne bacteria and PM. The targeted PM included total suspended particulate (TSP) and a coarse-to-fine range sized at PM10, PM4, PM2.5, and PM1. The PM and viable airborne bacteria concentrations were compared between the inlet and outlet of the prototype at 0.5 and 1.0 m3/s (low and high) air flow modes. The upgraded prototype inactivated nearly 100% of viable airborne bacteria and removed up to 97% of TSP, 91% of PM10, 87% of PM4, 87% of PM2.5, and 88% of PM1. The performance in the low flow rate mode was generally better than in the high flow rate mode. The combination of filtration and UV-C treatment provided ‘double-barrier’ assurance for air purification and lowered the risk of spreading infectious micro-organisms.

air pollution control , biosecurity , disease control , indoor air quality , occupational health , ultraviolet light , UV disinfection , UV254 , UVGI

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Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, 50011, IA, United States
Livestock Nutrient Management Research Unit, USDA-ARS Conservation Production Research Laboratory, Bushland, 79012, TX, United States
Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, 50011, IA, United States
Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, United States
Department of Statistics, Iowa State University, Ames, 50011, IA, United States
Department of Animal Science, Texas A&M University, College Station, 77843, TX, United States
Department of Biomedical Sciences, Iowa State University, Ames, 50011, IA, United States
Department of Geography and Environmental Sciences, al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Department of Chemistry, Iowa State University, Ames, 50011, IA, United States

Department of Agricultural and Biosystems Engineering
Livestock Nutrient Management Research Unit
Department of Veterinary Diagnostic and Production Animal Medicine
Department of Mechanical Engineering
Department of Statistics
Department of Animal Science
Department of Biomedical Sciences
Department of Geography and Environmental Sciences
Department of Chemistry

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