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Brownian Motor Based Virus Detection

Project information

Grant agreement ID: 825794

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    30 June 2020

Funded under:

H2020-EU.1.1.

  • Overall budget:

    € 150 000

  • EU contribution

    € 150 000

Hosted by:

IBM RESEARCH GMBH

Switzerland

Objective

The detection of dilute populations of nanoparticles in microfluidics is difficult due to diffusion as the time limiting step to reach the sensor. Using active transport, we propose to build a proof of concept microfluidic device that reaches sub-attomolar detection sensitivity within an hour and at a device footprint of 1 cm. The active transport enables size separation of the particles into multiple channels and up-concentration in detection reservoirs for label free detection. At the end of the process the size-separated particles can be easily extracted for further downstream processing.
The applied use case is the detection and quantification of virus in drinking water, a global health-critical challenge. A viral concentration of 10-100 particles is infectious in 2l of water consumed by a person, corresponding to a concentration of 10^(-22) molar. Traditional methods rely on multiple concentration steps followed by detection using molecular and/or culture based methods. Most common are adsorption/elution assays which co-concentrate and add contaminations that interfere with the downstream detection analysis. The detection methods are also often specific for the viral type and require a priori identification of the target virus. Metagenomic sequencing allows for general identification but lacks sensitivity.
The proposed method will simplify and improve the process significantly. The viruses will be concentrated without damage of the virus shell and with a high rejection of the contamination present in the sample. All virus particles will be separated and sorted according to predefined size ranges into detection compartments on the chip, allowing for a parallel and quantitative marker-less detection on a single particle level. Specific identification is possible for future devices using (integrated) molecular methods with reduced cross-contamination and without a priori virus identification.

Host institution

IBM RESEARCH GMBH

Address

Saeumerstrasse 4
8803 Rueschlikon

Switzerland

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 150 000

Beneficiaries (1)

IBM RESEARCH GMBH

Switzerland

EU Contribution

€ 150 000

Project information

Grant agreement ID: 825794

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    30 June 2020

Funded under:

H2020-EU.1.1.

  • Overall budget:

    € 150 000

  • EU contribution

    € 150 000

Hosted by:

IBM RESEARCH GMBH

Switzerland