ArticleJournal of virological methods2017
A method for the improved detection of aerosolized influenza viruses and the male-specific (F+) RNA coliphage MS2.
Article in Journal of virological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Identification of enteric viruses from raw water using fluoro-immuno-magnetic separation coupled to RT-PCR.Biomedica : revista del Instituto Nacional de Salud · 2021Article
- Detection of Viruses from Bioaerosols Using Anion Exchange Resin.Journal of visualized experiments : JoVE · 2018Article
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
The detection of aerosolized viruses can serve as an important surveillance and control tool in agriculture, human health, and environmental settings. Here, we adapted an anion exchange resin-based method, initially developed to concentrate negatively charged viruses from water, to liquid impingement-based bioaerosol sampling. In this method, aerosolized viruses are collected in a 20ml liquid sample contained within widely used impingers, BioSamplers (SKC Inc., Eighty Four, PA), and further concentrated via adsorption to an anion exchange resin that is suspended within this liquid. Viral nucleic acids are then extracted from the resin to facilitate molecular analyses through a reduction in the effective sample volume. For this study, various quantities of two negatively charged viruses, type A and type B influenza viruses (FluMist Quadrivalent vaccine) and the male-specific (F+) RNA coliphage MS2 (MS2), were nebulized into a custom-built bioaerosolization chamber, and sampled using BioSamplers with and without anion exchange resin. Compared to direct testing of the BioSampler liquid, detection was improved by 6.77× and 3.33× for type A and type B influenza viruses, respectively, by using the anion exchange resin. For MS2, the anion exchange resin method allowed for an average improvement in detection of 8.26×.
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