Virus Concentration
Virus Concentration - Related Videos
08:01
Glass Wool Filters for Concentrating Waterborne Viruses and Agricultural Zoonotic Pathogens
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Cited by 32 •
2012
Glass wool filters have been used to concentrate waterborne viruses by a number of research groups around the world. Here we show a simple approach for constructing glass wool filters and demonstrate the filters are also effective in concentrating waterborne viral, bacterial and protozoan pathogens.
10:53
Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
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Cited by 2 •
2023
Virus concentration from environmental water and wastewater samples is a challenging task, carried out primarily for the identification and quantification of viruses. While several virus concentration methods have been developed and tested, we demonstrate here the effectiveness of ultrafiltration and skimmed milk flocculation for RNA viruses with different sample types.
04:41
Plaquing of Herpes Simplex Viruses
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Cited by 1 •
2021
Plaquing is a routine method used to quantify live viruses in a population. Though plaquing is frequently taught in various microbiology curricula with bacteria and bacteriophages, plaquing of mammalian viruses is more complex and time-consuming. This protocol describes the procedures that function reliably for regular work with herpes simplex viruses.
00:50
What are Viruses?
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2019
Overview A virus is a microscopic infectious particle that consists of an RNA or DNA genome enclosed in a protein shell. It is not able to reproduce on its own: it can only make more viruses by entering a cell and using its cellular machinery. When a virus infects a host cell, it removes its protein coat and directs the host’s machinery to transcribe and translate its genetic material. The hijacked cell assembles the replicated components into thousands of viral progeny, which can rupture and...
07:28
A Small Volume Procedure for Viral Concentration from Water
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Cited by 5 •
2015
An approach was developed for identifying optimal viral concentration conditions for small volume water samples using spikes of human adenovirus. The techniques described here are used to identify concentration parameters for other viral targets, and applied to large-scale viral concentration experimentation.
FAQs
Each method converts a different experimental signal into an estimate. Plaque assays use observed plaques, endpoint dilution uses responses across successive dilutions, and quantitative PCR uses amplification signals. Because these readouts represent different aspects of viral measurement, the selected method affects how researchers interpret concentration, infectivity, abundance, and comparisons between experiments.
Repeated measurements can differ because only a portion of a sample is tested and because the measurement process is not perfectly precise. Statistical models help represent both sampling variation and measurement uncertainty rather than treating a single estimate as exact. This produces more appropriately cautious comparisons and improves interpretation of experimental outcomes.
Researchers can use concentration estimates to compare viral measurements between experimental groups or examine how outcomes change across different levels of exposure. Statistical analysis helps distinguish patterns from variation in the measurements. These comparisons are especially useful when evaluating experimental treatments, interpreting biological responses, or relating viral levels to observed outcomes.
Reproducibility depends on whether related experiments produce comparable concentration estimates when the measurements are analyzed consistently. Statistical treatment allows researchers to examine variation across experiments instead of relying only on one result. Evaluating this consistency strengthens confidence in reported findings and helps identify whether an apparent difference reflects a repeatable pattern or measurement variability.
A typical workflow begins by measuring a defined sample volume with a selected assay, recording plaques, dilution responses, or amplification signals, and converting those observations into a concentration or titer estimate. Researchers then account for sampling variation and measurement uncertainty before comparing groups, evaluating dose-response relationships, or interpreting experimental outcomes.
These measurements support several research settings named in the source material, including virology, vaccine studies, antiviral investigations, and environmental monitoring. In each case, concentration estimates provide quantitative data for comparing samples or experimental groups. Statistical analysis adds context by helping assess differences, dose-response patterns, and the reproducibility of the resulting measurements.