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Microfluidic Chip Fabrication and Method to Detect Influenza
Published on: March 26, 2013
Interdigitated array microelectrode based impedance immunosensor for detection of avian influenza virus H5N1
Ronghui Wang1, Yun Wang, Kentu Lassiter
1Department of Biological & Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Talanta
|June 30, 2009
Summary
A new impedance immunosensor rapidly detects avian influenza virus H5N1 using antibody-modified electrodes and red blood cell amplification. This biosensor offers sensitive and specific H5N1 detection for improved animal and human health surveillance.
Area of Science:
- Biosensors and Nanotechnology
- Virology and Immunology
- Public Health and Veterinary Medicine
Background:
- Avian influenza (AI) outbreaks pose significant threats to animal and human health, necessitating rapid diagnostic tools.
- Existing detection methods may lack the speed, sensitivity, or specificity required for timely intervention during AI outbreaks.
Purpose of the Study:
- To develop and validate a novel impedance immunosensor for the sensitive, specific, and rapid detection of avian influenza virus H5N1.
- To investigate the sensor's performance, including detection limits, linearity, and interference from other viruses.
Main Methods:
- Development of an interdigitated array (IDA) microelectrode-based impedance immunosensor.
- Immobilization of polyclonal antibodies against H5N1 Hemagglutinin (HA) using Protein A on a gold electrode surface.
- Utilized red blood cells (RBCs) as biolabels for signal amplification and atomic force microscopy (AFM) for confirmation.
Main Results:
- The immunosensor detected AI H5N1 virus at titers >10^3 EID50/ml within 2 hours.
- A linear detection range for H5N1 virus was established between 10^3 and 10^7 EID50/ml.
- Equivalent circuit analysis confirmed impedance changes due to specific binding events and amplification, with no significant interference from other viruses.
Conclusions:
- The developed impedance immunosensor provides a sensitive, specific, and rapid platform for detecting pathogenic AI H5N1.
- This technology holds potential for improved surveillance and early warning systems for avian influenza.
- The use of RBCs as biolabels effectively amplifies the detection signal.

