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Capillary Microfluidics-Assembled Virus-like Particle Bionanoreceptor Interfaces for Label-Free Biosensing
Faheng Zang1, Konstantinos Gerasopoulos, Adam D Brown
1Department of Electrical Engineering, Princeton University , Princeton, New Jersey 08544, United States.
ACS Applied Materials & Interfaces
|February 18, 2017
Summary
This study presents a novel microfluidic sensor for rapid, label-free antibody detection. It utilizes Tobacco mosaic virus (TMV) virus-like particles (VLPs) to create sensitive biosensor interfaces for pathogen detection.
Area of Science:
- Biotechnology
- Nanotechnology
- Sensor Technology
Background:
- Developing efficient methods for creating biosensor interfaces is crucial for rapid diagnostics.
- Tobacco mosaic virus (TMV) virus-like particles (VLPs) offer a platform for displaying numerous identical receptor peptides.
- Existing biosensing methods can be time-consuming and require complex sample preparation.
Purpose of the Study:
- To develop a capillary microfluidics-integrated sensor system for rapid assembly of bionanoreceptor interfaces.
- To enable label-free biosensing of antibodies using engineered VLPs.
- To demonstrate a fast, controlled, and efficient method for VLP receptor layer assembly on impedance sensors.
Main Methods:
- Utilized genetically engineered TMV VLPs displaying FLAG-tags as nanoceptors.
- Employed capillary action and surface evaporation in an open-channel capillary microfluidic system for VLP assembly.
- Functionalized an impedance sensor with a VLP receptor monolayer using 5 μL of VLP solution (0.2 mg/mL) in 6 min at room temperature.
Main Results:
- Achieved controlled and accelerated assembly of a dense VLP receptor monolayer on the impedance sensor.
- Demonstrated label-free detection of target antibodies down to 55 pM concentration within 5 min.
- The VLP-functionalized sensor showed high sensitivity and rapid response times.
Conclusions:
- The integrated microsystem enables rapid and controlled creation of receptor-transducer interfaces.
- Nanoscale VLP-based sensors hold significant potential for fast, accurate, and decentralized pathogen detection.
- This approach offers a promising strategy for developing next-generation diagnostic tools.

