Continuous flow nanoparticle concentration using alternating current-electroosmotic flow

Achieving real‐time detection of environmental pathogens such as viruses and bacterial spores requires detectors with both rapid action and a suitable detection threshold. However, most biosensors have detection limits of an order of magnitude or more above the potential infection threshold, limitin...

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Bibliographic Details
Published in:Electrophoresis 2014-02, Vol.35 (4), p.467-473
Main Authors: Hoettges, Kai F., McDonnell, Martin B., Hughes, Michael P.
Format: Article
Language:English
Subjects:
AC-electroosmotic flow
Activation
Bacteria
Bioparticle detection
Biosensing Techniques - instrumentation
Biosensing Techniques - methods
Continuous flow
Dielectrophoresis
Electrodes
Electroosmosis - instrumentation
Electrophoresis
Environmental Microbiology
Equipment Design
Lab on a chip
Microfluidic Analytical Techniques - instrumentation
Nanoparticles
Nanostructure
Nanotechnology
Particle separation
Thresholds
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Summary:Achieving real‐time detection of environmental pathogens such as viruses and bacterial spores requires detectors with both rapid action and a suitable detection threshold. However, most biosensors have detection limits of an order of magnitude or more above the potential infection threshold, limiting their usefulness. This can be improved through the use of automated sample preparation techniques such as preconcentration. In this paper, we describe the use of AC electroosmosis to concentrate nanoparticles from a continuous flow. Electrodes at an optimized angle across a flow cell, and energized by a 1 kHz signal, were used to push nanoparticles to one side of a flow cell, and to extract the resulting stream with a high particle concentration from that side of the flow cell. A simple model of the behavior of particles in the flow cell has been developed, which shows good agreement with experimental results. The method indicates potential for higher concentration factors through cascading devices.
ISSN:0173-0835
1522-2683
DOI:10.1002/elps.201300287