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This solution participated in a Driver+ Trial

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On-site detection of Influenza A (H1N1) with a portable qPCR device (POC)

This LAMP-based portable (smartphone-sized) quantitative real-time PCR (qPCR) has been developed specifically to rapidly detect the presence of Influenza A (H1N1) in samples. It employs the technology of droplet microfluidics (DMF) and can be connected to a PC or laptop via a USB port.

  • Outbreaks of Influenza of variable extent and severity occur nearly every year, resulting in significant morbidity rates in the general population and in increased mortality rates among high-risk patients. Apart from the annual seasonal epidemics, influenza presents sporadic and unpredictable global pandemic outbreaks as well. Pandemic influenza occurs every 10–50 years and is characterised by the introduction of a new influenza A virus strain that is antigenically very different from previously circulating strains; the lack of pre-existing immunity leads to increased mortality.

Novel biomarkers targeting specifically the aforementioned virus strain were developed in STAMINA project, and incorporated into a validated protocol which includes sample preparation and analysis. The qPCR DMF device is capable to detect the presence of Influenza A (H1N1) with robustness and accuracy, while due to the nature of microfluidics technology, it reduces the sample-to-result time.

A graphical representation of the implementation process is depicted in the illustrations.

 

Supported Use Cases

Rapid on-site detection of Influenza A (H1N1)

This device  provides a convenient, fast and inexpensive method for rapid detection of  Influenza A (H1N1) in samples. This can be used as part of the early warning system for influenza.

Related CM functions

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eu Die Portfolio of Solutions Website wurde ursprünglich im Rahmen des DRIVER+ Projekts entwickelt. Heute wird das Service von der AIT Austrian Institute of Technology GmbH. zum Nutzen des europäischen Krisenmanagements betrieben. PoS ist vom Disaster Competence Network Austria (DCNA) sowie von den H2020-Projekten STAMINA und TeamAware befürwortet und unterstützt.