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Published on: June 28, 2024
Quantum Dot-Based Dual-Fluorescence Aptasensing Platform Using Interface-Engineered MXene for Multiplex Protein
Qichen Yang1,2, Chun Yang1,2, Mingzhu Liu2
1School of Public Health, Inner Mongolia Medical University, Hohhot 010059, China.
Sensors (Basel, Switzerland)
|June 26, 2026
Summary
This study presents a novel dual-fluorescence aptasensing method for rapid respiratory infection diagnosis. The technique simultaneously detects spike and hemagglutinin proteins using quantum dots and PDA-MXene for enhanced accuracy.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Analytical Chemistry
Background:
- Rapid diagnosis of respiratory infections is crucial for effective treatment.
- Current antigen detection methods may lack specificity or multiplexing capabilities.
Purpose of the Study:
- To develop an innovative dual-fluorescence aptasensing method for simultaneous detection of spike and hemagglutinin proteins.
- To enhance detection reliability and reduce background interference for respiratory infection diagnosis.
Main Methods:
- Utilized polydopamine-functionalized MXene (PDA-MXene) as an adsorption and separation substrate.
- Employed green- and red-emitting quantum dot (QD) probes for fluorescence reporting.
- Integrated a centrifugation-assisted separation strategy for improved signal-to-noise ratio.
Main Results:
- Achieved low detection limits: 0.82 ng/mL for spike protein and 2.11 ng/mL for hemagglutinin protein in single-channel mode.
- Demonstrated reliable simultaneous quantification in dual-channel mode with minimal spectral cross-talk.
- Showcased high specificity against various interferents and validated in artificial saliva samples with high recovery rates (100-114%).
Conclusions:
- The developed PDA-MXene based dual-fluorescence aptasensing method offers a simple, reliable, and sensitive approach for simultaneous protein detection.
- This strategy holds significant promise for point-of-care testing and health monitoring applications in respiratory infection diagnostics.

