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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
PubMed
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This summary is machine-generated.

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.
Keywords:
MXeneaptasensorclick chemistryquantum dotsimultaneous detection

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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.