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Updated: Aug 13, 2026

Engineering Antiviral Agents via Surface Plasmon Resonance
Published on: June 14, 2022
Dinitrophenyl ligand substrates and their application to immunosensors
Wageesha Senaratne1, Kazutake Takada, Raibatak Das
1Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14853, USA.
We developed a novel method for creating sensitive antibody biosensors by precisely controlling molecular interactions on sensor surfaces. This approach enhances specificity and minimizes unwanted binding for improved diagnostic tools.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Immunosensor Technology
Background:
- Antibody-based biosensors are crucial for diagnostics but often suffer from limited specificity and sensitivity.
- Controlling molecular interactions at the sensor surface is key to improving biosensor performance.
- Nonspecific binding can interfere with accurate detection, necessitating strategies for its minimization.
Purpose of the Study:
- To develop a method for creating highly specific and sensitive antibody-based biosensors.
- To chemically tailor sensor surfaces to precisely control molecular binding events.
- To establish a model system using 2,4-dinitrophenyl (DNP)-ligands and anti-DNP antibodies.
Main Methods:
- Utilized self-assembling 2,4-dinitrophenyl (DNP)-ligands designed to minimize nonspecific interactions.
- Employed cyclic voltammetry to determine surface density (coverage) via DNP-head group redox activity.
- Used Quartz Crystal Microbalance (QCM) and impedance analysis to assess ligand-antibody interactions and bound antibody quantity.
Main Results:
- Successfully tailored sensor surfaces to control specific and nonspecific binding of biologically relevant molecules.
- Quantified surface ligand density and antibody binding using electrochemical and QCM techniques.
- Demonstrated that ligand surface density and QCM data correlate with biosensor sensitivity.
- A simple two-step kinetic model accurately described the experimental binding data.
Conclusions:
- The presented approach enables the development of highly specific and sensitive antibody-based biosensors.
- Chemical tailoring of sensor surfaces is an effective strategy for controlling molecular interactions and enhancing biosensor performance.
- The model system provides a robust platform for evaluating and optimizing biosensor designs for various applications.
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