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Detection of Viruses from Bioaerosols Using Anion Exchange Resin
Published on: August 22, 2018
Challenges in environmental detection of human viral pathogens
Timothy R Julian1, Kellogg J Schwab
1The Johns Hopkins University Bloomberg School of Public Health, Department of Environmental Health Sciences, Division of Environmental Health Engineering and the JHU Global Water Program and JHU Center for Water and Health, United States.
Current Opinion in Virology
|March 24, 2012
Summary
Detecting viruses in the environment requires sensitive assays. Emerging methods can concentrate, purify, and detect all viruses, improving human exposure risk assessment and environmental monitoring.
Area of Science:
- Environmental science
- Virology
- Public health
Background:
- Human exposure to viruses in environmental samples is a significant concern.
- Accurate identification of viral contamination requires highly sensitive detection methods.
- Current methods often struggle with inhibitor co-isolation and pre-selection bias for known viruses.
Purpose of the Study:
- To highlight the limitations of conventional virus detection methods in environmental matrices.
- To introduce emerging techniques for comprehensive virus detection and quantification.
- To emphasize the importance of quality assurance in novel virus detection methodologies.
Main Methods:
- Review of conventional virus detection assays (cell culture, PCR) and their limitations.
- Discussion of emerging techniques: nonspecific adsorption/elution, filtration, total nucleic acid sequencing.
- Emphasis on methods capable of concentrating, purifying, and detecting total virus nucleic acid.
Main Results:
- Conventional assays often require specific primers/probes, potentially missing unknown viruses.
- Sample concentration steps can introduce inhibitors, reducing assay sensitivity.
- Emerging methods offer broader detection capabilities for total virus and nucleic acid.
Conclusions:
- Novel virus detection techniques are crucial for accurate assessment of environmental exposure risks.
- These advanced methods support source tracking, intervention efficacy evaluation, and understanding virus fate.
- Implementing quality assurance is essential for validating results and enabling interstudy comparisons.

