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Self-Assembled Plasmonic Structural Color Colorimetric Sensor for Smartphone-Based Point-Of-Care Ammonia Detection in

Mahdi Soudi^1,2,3, Pablo Cencillo-Abad³, Jay Patel³

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

ACS Applied Materials & Interfaces

|August 15, 2024

Summary

This summary is machine-generated.

This study introduces a novel, affordable nanoplasmonic sensor for detecting ammonia in water. Integrated with smartphone technology, it offers a portable, reagent-free solution for environmental and public health monitoring.

Keywords:

aqueous ammonia sensing colorimetric sensors nanosensors self-assembled structural color

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Area of Science:

Materials Science
Environmental Science
Analytical Chemistry

Background:

Elevated ammonia levels pose risks to environmental and public health, necessitating effective monitoring.
Current methods for ammonia detection can be expensive, require reagents, or lack portability.
Plasmonic sensors show promise for sensitive, in situ chemical detection.

Purpose of the Study:

To develop a self-assembled nanoplasmonic colorimetric sensor for direct, label-free ammonia detection in aqueous matrices.
To create an affordable, portable, and user-friendly system for real-time ammonia monitoring.
To integrate smartphone technology for accessible on-site chemical analysis.

Main Methods:

Fabrication of a self-assembled nanoplasmonic sensor using aluminum and aluminum oxide.
Utilizing plasmonic resonance to transduce chemical environment changes into visible color alterations.
Developing a predictive model based on color change and integrating smartphone-based image analysis.

Main Results:

The sensor achieved a detection limit of 8.5 ppm for ammonia.
The system demonstrated label-free, real-time analysis of ammonia concentrations.
Smartphone integration eliminated the need for expensive optical equipment for on-site detection.

Conclusions:

The developed sensor provides a cost-effective, portable, and user-friendly solution for ammonia detection in water.
This platform is suitable for field applications and extends to the detection of various other chemicals.
The smartphone-based approach democratizes chemical monitoring without requiring specialized instruments or reagents.