Related Experiment Video
Updated: May 28, 2026

10:44
Snap Chip for Cross-reactivity-free and Spotter-free Multiplexed Sandwich Immunoassays
Published on: November 13, 2017
Catch-and-display immunoassay for digital biomarker detection.
Yuxuan Liu1, Samuel N Walker2, Michael E Klaczko3
1Materials Science, University of Rochester, Rochester, NY 14627, USA.
Nanoscale Horizons
|May 27, 2026
Summary
We developed a cost-effective Catch-and-Display Immunoassay (CAD-IA) using nanomembranes for sensitive biomarker detection. This lab-friendly digital immunoassay offers a practical solution for common research settings, enabling precise quantification of low-abundance analytes.
Area of Science:
- Biotechnology
- Nanotechnology
- Analytical Chemistry
Background:
- Digital immunoassays offer high sensitivity for detecting low-abundance biomarkers.
- Widespread adoption is hindered by high costs and complex workflows of existing platforms.
- There is a need for accessible, laboratory-friendly digital immunoassay solutions.
Purpose of the Study:
- To introduce a cost-effective and laboratory-friendly digital immunoassay, the Catch-and-Display Immunoassay (CAD-IA).
- To demonstrate CAD-IA's utility for detecting biomarkers in common research settings.
- To validate CAD-IA's performance using a traumatic brain injury biomarker.
Main Methods:
- Development of a nanomembrane-based Catch-and-Display Immunoassay (CAD-IA) using ultrathin silicon nitride membranes.
- Utilizing pipette-powered filtration to capture fluorescent nanoparticles within membrane pores.
- Quantification of fluorescent immunocomplexes via confocal microscopy for digital signal generation.
- Implementation on the microfluidic device featuring an ultrathin silicon membrane for diagnostics (µSiM-DX) platform.
Main Results:
- CAD-IA demonstrated consistent digital outputs and linear quantification over two orders of magnitude.
- The assay maintained linearity in serum matrices.
- Achieved a limit of detection (LoD) of 0.02 µg mL⁻¹ for S100B with tyramide signal amplification (TSA), suitable for clinical diagnostics.
Conclusions:
- CAD-IA represents a novel, cost-effective, and laboratory-deployable digital immunoassay.
- The technology provides a practical alternative to expensive commercial platforms for biomarker detection.
- This proof-of-concept demonstrates the potential of CAD-IA for widespread use in research laboratories.

