Optimization of a microarray sandwich-ELISA against hINF-gamma on a modified nitrocellulose membrane

Area of Science:

• Biotechnology
• Immunodiagnostics
• Materials Science

Background:

• Enzyme-linked immunosorbent assay (ELISA) is a cornerstone of immunological diagnostics due to its high specificity and sensitivity.
• Protein microarrays enable high-throughput analysis, promising reduced time, analyte, and reagent consumption for global analytical approaches.

Purpose of the Study:

• To establish a protein microarray-based sandwich-ELISA for detecting human interferon-gamma (hINF-gamma).
• To optimize and validate a novel black nitrocellulose matrix as a microarray substrate for enhanced signal-to-noise ratios and low autofluorescence.

Main Methods:

• Development of a sandwich-ELISA protocol adapted for protein microarray format.
• Optimization of a black nitrocellulose membrane as a substrate for microarray applications.
• Validation of the developed system by comparing its performance with commercially available 96-well plate ELISA kits.

Main Results:

• The microarray-based ELISA demonstrated faster and simpler execution compared to traditional 96-well plate systems.
• The optimized system achieved a lower limit of detection (LOD) than the comparable commercial ELISA.
• Immobilized capture antibodies on slides maintained signal intensity for up to one month of storage.
• The black nitrocellulose membrane showed no cross-reactivity in a secondary model system using His-tagged proteins.

Conclusions:

• The developed protein microarray-based sandwich-ELISA is a highly efficient and sensitive diagnostic tool.
• The novel black nitrocellulose substrate significantly enhances assay performance, offering superior signal quality.
• This platform provides a promising alternative for rapid, sensitive, and cost-effective immunological diagnostics.