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Development of an Electrochemical Paper-Based Analytical Device for Trace Detection of Virus Particles
journal contribution
posted on 2018-05-23, 00:00 authored by Robert
B. Channon, Yuanyuan Yang, Kristen M. Feibelman, Brian J. Geiss, David S. Dandy, Charles S. HenryViral
pathogens are a serious health threat around the world, particularly
in resource limited settings, where current sensing approaches are
often insufficient and slow, compounding the spread and burden of
these pathogens. Here, we describe a label-free, point-of-care approach
toward detection of virus particles, based on a microfluidic paper-based
analytical device with integrated microwire Au electrodes. The device
is initially characterized through capturing of streptavidin modified
nanoparticles by biotin-modified microwires. An order of magnitude
improvement in detection limits is achieved through use of a microfluidic
device over a classical static paper-based device, due to enhanced
mass transport and capturing of particles on the modified electrodes.
Electrochemical impedance spectroscopy detection of West Nile virus
particles was carried out using antibody functionalized Au microwires,
achieving a detection limit of 10.2 particles in 50 μL of cell
culture media. No increase in signal is found on addition of an excess
of a nonspecific target (Sindbis). This detection motif is significantly
cheaper (∼$1 per test) and faster (∼30 min) than current
methods, while achieving the desired selectivity and sensitivity.
This sensing motif represents a general platform for trace detection
of a wide range of biological pathogens.
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detection limitsbiotin-modified microwirescell culture mediamagnitude improvementmass transportvirus particlesElectrochemical Paper-Based Analytical Device10.2 particlespoint-of-care approachantibody functionalizedtrace detectionmicrofluidic devicedetection limitmicrofluidic paper-based50 μ LVirus Particles Viral pathogenspaper-based devicedetection motifWest Nile virus particlesElectrochemical impedance spectroscopy detectionhealth threatTrace Detection
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