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Nasal Wipes for Influenza A Virus Detection and Isolation from Swine
Published on: December 4, 2015
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Electrostatic wipes as simple and reliable methods for influenza virus airborne detection
S Marty-Quinternet1, L Puget1, A Debernardi2
1Laboratoire de Virologie, CHU, Besançon, France.
The Journal of Hospital Infection
|November 16, 2020
Summary
Electrostatic wipes (EWs) effectively detect airborne viruses like influenza, even four days after collection. This simple method shows promise for reliable virus detection in patient environments.
Area of Science:
- Environmental Virology
- Infectious Disease Diagnostics
- Molecular Detection Methods
Background:
- Accurate detection of airborne viruses is crucial for infection control.
- Electrostatic wipes (EWs) offer a potential medium for sample collection and preservation.
- Evaluating novel methods for virus detection in clinical settings is essential.
Purpose of the Study:
- To assess the performance of an in-house protocol for virus detection using commercialized electrostatic wipes (EWs).
- To determine the recovery efficiency, repeatability, and detection limit of the protocol for cytomegalovirus, adenovirus, and influenza virus.
- To evaluate the stability of influenza RNA on EWs and its detectability in patient rooms.
Main Methods:
- Experimental impregnation of EWs with viral suspensions (cytomegalovirus, adenovirus, influenza virus).
- Assessment of protocol sensitivity, recovery efficiency, repeatability, and detection limits.
- Stability testing of influenza RNA on EWs at room temperature.
- Deployment of EWs in influenza-infected patients' rooms for airborne detection.
Main Results:
- The protocol demonstrated sensitivity, detecting as low as 4 log10 gene copies of virus.
- Influenza RNA remained stable on EWs for at least four days at room temperature.
- Influenza RNA was detected on 75% of EWs placed in patient rooms.
Conclusions:
- The in-house protocol using EWs is sensitive and repeatable for virus detection.
- EWs are a simple and reliable method for detecting airborne influenza virus in clinical environments.
- This approach can aid in monitoring viral transmission and implementing effective infection control measures.

