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Updated: Jun 15, 2025

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen

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Sesame Detection in Food Using DNA-Functionalized Gold Nanoparticles: A Sensitive, Rapid, and Cost-Effective

Pablo Llano-Suárez¹, Adrián Sánchez-Visedo¹, Inmaculada Ortiz-Gómez¹

¹Department of Physical and Analytical Chemistry, University of Oviedo, c/Julián Clavería, 8, 33006 Oviedo, Spain.

|August 28, 2024

Summary

A new DNA-based method using gold nanoparticles (AuNPs) offers sensitive and rapid detection of sesame DNA in food. This colorimetric approach enhances food safety by enabling simple, affordable allergen analysis.

Keywords:

AuNPs MNAzymes analytical signal amplification color analysis food safety sesame allergen

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Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications

Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications

Published on: June 23, 2016

Area of Science:

Food Science
Analytical Chemistry
Nanotechnology

Background:

Food safety is paramount in the food and agriculture sectors.
Rapid and sensitive detection of allergens, supplements, and pollutants is crucial.
Miniaturized analytical methods are needed for on-site food analysis.

Purpose of the Study:

To develop a novel bioanalytical method for detecting sesame DNA in food samples.
To enhance sensitivity and accuracy using DNA-functionalized gold nanoparticles (AuNPs) and multicomponent nucleic acid enzymes (MNAzymes).
To provide a simple, affordable, and decentralized detection method for food allergens.

Main Methods:

Utilized DNA-functionalized gold nanoparticles (AuNPs) for colorimetric detection of sesame DNA.
Employed multicomponent nucleic acid enzymes (MNAzymes) for isothermal signal amplification.
Incorporated open-source software for unbiased color analysis to improve accuracy and sensitivity.

Main Results:

Successfully detected sesame DNA in various food matrices, including sesame seed, sesame oil, olive oil, and sunflower oil.
Demonstrated a color change (blue to red) proportional to sesame DNA concentration.
Achieved high sensitivity and accuracy through MNAzyme amplification and software-assisted color analysis.

Conclusions:

The developed method offers a simple, affordable, and highly sensitive approach for DNA detection in food.
This bioanalytical methodology bypasses the need for complex instrumentation or procedures.
It presents a viable alternative for decentralized food allergen testing and safety control.