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Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone

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Smartphone-Based Immune Response Measurement Using a Colorimetric Self-Assembled Plasmonic Biosensor.

Mahdi Soudi^1,2,3, Ángel David Torres Palencia^3,4, Caitlin Beech³

¹Department of Physics, University of Central Florida, Orlando, Florida 32816, United States.

|October 9, 2025

Summary

This summary is machine-generated.

A new colorimetric nanosensor detects Immunoglobulin G (IgG) using aluminum nanoparticles. This cost-effective, smartphone-compatible biosensor enables rapid, point-of-care diagnostics for infectious diseases.

Keywords:

antibody detection (IgG)colorimetric sensing localized surface plasmon resonance plasmonic biosensor point-of-care testing

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Area of Science:

Nanotechnology
Biosensing
Optical Physics

Background:

Accurate detection of biomarkers like Immunoglobulin G (IgG) is crucial for diagnosing infectious diseases.
Existing diagnostic methods can be expensive, time-consuming, and require specialized equipment.
Point-of-care diagnostics need to be cost-effective, rapid, and user-friendly.

Purpose of the Study:

To develop a novel, cost-effective colorimetric nanosensor for the detection of IgG.
To leverage gap-plasmon dispersion in self-assembled aluminum nanoparticles for enhanced sensitivity.
To create a smartphone-based application for accessible data analysis and disease monitoring.

Main Methods:

Fabrication of a colorimetric nanosensor using self-assembled aluminum nanoparticles on a phase-matched near-field cavity.
Utilizing gap-plasmon coupling for tunable optical responses in the visible spectrum.
Performing affinity biosensing assays to evaluate colorimetric and spectroscopic sensitivities for IgG detection.

Main Results:

The nanosensor demonstrated a broad dynamic range (10 μg/mL to 5 mg/mL) and a low limit of detection (LOD) of approximately 5.9 μg/mL for IgG.
The sensor exhibited tunable optical properties suitable for colorimetric analysis.
A smartphone application was developed to process sensor images and quantify IgG concentration, simplifying the diagnostic process.

Conclusions:

The developed nanosensor offers a promising platform for low-cost, rapid, and user-friendly point-of-care diagnostics.
This technology has the potential to significantly improve the management of infectious diseases and outbreaks.
The smartphone integration enhances accessibility, reducing the need for complex laboratory equipment or trained personnel.