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Abstract

Environment

Detection of Viruses from Bioaerosols Using Anion Exchange Resin

Published: August 22nd, 2018

DOI:

10.3791/58111

1High Plains Intermountain Center for Agricultural Health and Safety, Department of Environmental and Radiological Health Sciences, Colorado State University, 2National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, 3Western Sydney University, 4Leprino Foods, Inc, 5Department of Food Science and Agricultural Chemistry, McGill University, 6Department of Mechanical Engineering, Colorado State University, 7Department of Animal Science, University of Wyoming

Abstract

This protocol demonstrates a customized bioaerosol sampling method for viruses. In this system, anion exchange resin is coupled with liquid impingement-based air sampling devices for efficacious concentration of negatively-charged viruses from bioaerosols. Thus, the resin serves as an additional concentration step in the bioaerosol sampling workflow. Nucleic acid extraction of the viral particles is then performed directly from the anion exchange resin, with the resulting sample suitable for molecular analyses. Further, this protocol describes a custom-built bioaerosol chamber capable of generating virus-laden bioaerosols under a variety of environmental conditions and allowing for continuous monitoring of environmental variables such as temperature, humidity, wind speed, and aerosol mass concentration. The main advantage of using this protocol is increased sensitivity of viral detection, as assessed via direct comparison to an unmodified conventional liquid impinger. Other advantages include the potential to concentrate diverse negatively-charged viruses, the low cost of anion exchange resin (~$0.14 per sample), and ease of use. Disadvantages include the inability of this protocol to assess infectivity of resin-adsorbed viral particles, and potentially the need for the optimization of the liquid sampling buffer used within the impinger.

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Keywords Virus Detection

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