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Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

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Dual-signal model array sensor based on GQDs/AuNPs system for sensitive protein discrimination.

Xin Lin¹, Xin Hai¹, Ning Wang¹

¹Research Center for Analytical Sciences, Department of Chemistry, Northeastern University, Box 332, Shenyang 110819, China.

Analytica Chimica Acta

|October 22, 2017

Summary

A novel array sensor uses graphene quantum dots (GQDs) and gold nanoparticles (AuNPs) for sensitive protein discrimination. This dual-signal system accurately identifies proteins and microorganisms in complex samples like human urine.

Keywords:

Array sensor AuNPs Dual-signal model GQDs Protein discrimination

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Last Updated: Feb 20, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

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Published on: September 16, 2014

An Aptamer-based Sensor for Unchelated GadoliniumIII

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Highly Sensitive and Quantitative Detection of Proteins and Their Isoforms by Capillary Isoelectric Focusing Method

Highly Sensitive and Quantitative Detection of Proteins and Their Isoforms by Capillary Isoelectric Focusing Method

Published on: September 19, 2018

Area of Science:

Biomedical Engineering
Nanotechnology
Analytical Chemistry

Background:

Accurate protein differentiation is crucial for various scientific and medical applications.
Existing methods for protein identification can be complex and lack sensitivity.
Developing rapid and sensitive protein detection platforms is an ongoing research area.

Purpose of the Study:

To develop a novel array sensor for sensitive and accurate discrimination of proteins.
To utilize the combined optical responses of graphene quantum dots (GQDs) and gold nanoparticles (AuNPs) for enhanced sensing.
To establish a dual-signal detection strategy for improved protein identification.

Main Methods:

Fabrication of a GQDs/AuNPs based array sensor.
Exploitation of distinct fluorescence and absorbance variations upon protein interaction.
Application of a dual-signal analysis strategy for quantitative and qualitative protein detection.
Testing the sensor's efficacy with protein mixtures, human urine samples, and microbial strains.

Main Results:

The GQDs/AuNPs system exhibited varied optical responses to different protein species.
A dual-signal strategy based on complementary fluorescence and absorbance changes enabled sensitive protein discrimination.
The sensor achieved accurate discrimination down to 50 nM protein concentration.
Successful discrimination of protein mixtures, protein species in human urine, and six microbial strains with 100% accuracy was demonstrated.

Conclusions:

The developed dual-signal array sensor offers a sensitive and accurate method for protein discrimination.
The complementary optical responses provide a robust platform for analyzing complex biological samples.
This technology holds potential for applications in diagnostics and microbial identification.