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Flow-through immunosensors using antibody-immobilized polymer monoliths
Jikun Liu1, Chien-Fu Chen, Chih-Wei Chang
1Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA.
New polymer monoliths enable highly sensitive and rapid immunosensors. These porous materials improve antibody immobilization and analyte interaction for faster, more accurate detection in microfluidic devices.
Area of Science:
- Materials Science
- Analytical Chemistry
- Biotechnology
Background:
- Development of sensitive and rapid detection methods is crucial for diagnostics.
- Existing immunosensor platforms often face limitations in speed and sensitivity.
- Surface-reactive polymer monoliths offer a novel approach for biosensor fabrication.
Purpose of the Study:
- To investigate high-sensitivity and rapid flow-through immunosensors using photopolymerized surface-reactive polymer monoliths.
- To demonstrate the efficacy of these monoliths in a direct immunoassay model.
- To assess the performance of the developed immunosensors in terms of linearity, assay time, and detection limits.
Main Methods:
- Synthesis of porous polymer monoliths within silica capillaries using glycidyl methacrylate and ethoxylated trimethylolpropane triacrylate.
- Immobilization of antibodies (anti-IgG) onto the high surface area monoliths.
- Direct immunoassay using fluorescein-labeled IgG as the antigen, with measurements in a flow-through configuration.
Main Results:
- Monoliths exhibited a tortuous pore structure facilitating efficient mass transport and antibody immobilization.
- Direct immunoassay showed a linear response for antigen detection from 0.1 to 50 ng/mL within 5 minutes.
- A mass detection limit of 100 pg (approximately 700 amol) was achieved with controllable micro-volume injections.
Conclusions:
- Porous polymer monolith supports are a flexible and promising material for fabricating rapid and sensitive immunosensors.
- The developed immunosensor design is suitable for integration into capillary or microfluidic devices.
- This approach offers significant potential for advancing high-performance biosensing applications.
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