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Related Experiment Video

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Fluorescent Lateral Flow Immunoassay Based on Quantum Dots Nanobeads

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Published on: June 28, 2024

Nanoparticle embedded enzymes for improved lateral flow sensors.

Veli C Özalp¹, Uğur S Zeydanlı, Anita Lunding

¹School of Medicine, Istanbul Kemerburgaz University, 34217, Istanbul, Turkey. cengiz.ozalp@kemerburgaz.edu.tr

|June 5, 2013

Summary

This study introduces nanoparticle-embedded sensors for improved lateral flow assays (LFAs). The novel approach enhances reactive oxygen species (ROS) detection, offering a reliable method for quantifying hydrogen peroxide.

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Nanotechnology

Background:

Lateral flow assays (LFAs) are widely used for rapid diagnostics but can suffer from signal quality issues.
Enzyme-based LFAs often face challenges with enzyme stability and interference from biological sample matrices.
Reactive oxygen species (ROS) play crucial roles in biological processes, and their accurate quantification is important.

Purpose of the Study:

To develop a novel strategy for ensuring reliable signalling in LFAs using nanoparticle-embedded sensors.
To create a sensitive and rapid LFA for the quantification of reactive oxygen species (ROS), specifically hydrogen peroxide.
To demonstrate the general applicability of nanoparticle embedding for enzyme stabilization in LFAs.

Main Methods:

Co-entrapping horse radish peroxidase (HRP) and Texas Red dextran within porous polyacrylamide nanoparticles.
Developing a lateral flow assay (LFA) incorporating these nanoparticle-embedded sensors.
Quantifying hydrogen peroxide concentrations using the developed LFA-ROS sensor.

Main Results:

The nanoparticle-embedded system effectively protected the entrapped enzymes within the porous polyacrylamide matrix.
The developed LFA demonstrated rapid and sensitive detection of hydrogen peroxide.
A linear quantification range of 1–25 μM for hydrogen peroxide was achieved with the novel LFA-ROS sensor.

Conclusions:

Nanoparticle embedding of enzymes is a viable general strategy for enhancing enzyme-based LFAs.
This approach improves enzyme stability and eliminates adverse effects from biological samples, ensuring reliable assay performance.
The developed LFA-ROS sensor offers a promising tool for accurate hydrogen peroxide quantification.