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On-site detection of Influenza A (H1N1) via the utilisation of a portable qPCR device (POC)

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- 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.

Therefore, in order to rapidly detect the presence of Influenza A(H1N1) aiming to an efficient and proactive management, a detection has been developed dedicated to this virus. More specifically, for Influenza A (H1N1) a LAMP-based portable quantitative real-time PCR (qPCR) has been developed, which can be easily used for samples' analysis. This device employs the technology of droplet microfluidics (DMF), its size is as small as a smartphone, and thus ideal for a POC device. Moreover, it can be connected to a PC or laptop via a USB port.

The complete of the detection of Influenza A (H1N1) is comprised by the development and validation of novel biomarkers targeting specifically the aforementioned virus strain, 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.

To be updated in the future.

To be defined later on.

Related CM functions

Illustrations
Array of components of DMF
Four-channel qPCR micro-chip array representation
Graphical representation of implementation of DMF
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DRIVER+ project has received funding from the European Union's 7th Framework Programme for Research,
Technological Development and Demonstration under Grant Agreement (GA) N° #607798