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Analysis of solid-phase immobilized antibodies by atomic force microscopy.
James C Johnson1, Saju R Nettikadan, Srikanth G Vengasandra
1BioForce Nanosciences Inc., 2901 South Loop Drive, Suite 3400, Ames, IA 50010, USA.
Journal of Biochemical and Biophysical Methods
|May 28, 2004
Summary
Optimizing antibody adsorption on surfaces enhances ligand-antibody interactions. Atomic force microscopy (AFM) effectively analyzes surface-bound antibodies for particle capture assays, aiding in ligand selection.
Area of Science:
- Biophysics
- Surface Chemistry
- Analytical Chemistry
Background:
- Antibody adsorption onto solid surfaces can impede molecular interactions.
- Optimizing adsorption conditions is crucial for maintaining antibody functionality.
- Atomic force microscopy (AFM) offers a sensitive, label-free approach for studying molecular interactions.
Purpose of the Study:
- To investigate factors influencing antibody adsorption using AFM.
- To evaluate the efficiency of particle capture by surface-adsorbed antibodies.
- To demonstrate AFM's utility in screening and selecting functional antibodies.
Main Methods:
- Utilized atomic force microscopy (AFM) as a readout mechanism.
- Studied anti-bacteriophage fd antibodies in a solid-phase assay.
- Determined capture efficiencies by varying pH and antibody concentration on gold surfaces.
- Evaluated antibody sensitivity for phage fd capture across different phage concentrations.
Main Results:
- AFM effectively analyzed antibody properties and ligand-antibody interactions.
- Optimized adsorption conditions improved antibody functionality for particle capture.
- Demonstrated the capability to compare capture efficiencies under various surface conditions.
- Showcased the relative sensitivity of antibodies for target capture.
Conclusions:
- AFM is a valuable analytical tool for assessing surface-adsorbed antibody function in capture assays.
- This method facilitates rapid screening and selection of antibodies and ligands.
- The approach is applicable to the growing field of chip-based analytical platforms in proteomics.