Homogeneous immunoassay utilizing fluorescence resonance energy transfer from quantum dots to tyramide dyes deposited

Zihan Xu1, Xiaojun Liu1, Chenghua Zong1

  • 1School of Chemistry and Materials Science, Jiangsu Normal University, Shanghai Road 101, Xuzhou, Jiangsu, China. gai@jsnu.edu.cn.

The Analyst
|August 29, 2023
PubMed

Insights

This study introduces a novel, highly sensitive homogeneous immunoassay using fluorescence resonance energy transfer (FRET). The method amplifies signals for detecting biomarkers like carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP) at sub-femtomolar levels in plasma.

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biotechnology

Background:

  • Homogeneous immunoassays require enhanced sensitivity for clinical diagnostics.
  • Existing fluorescence resonance energy transfer (FRET)-based assays have limitations in signal amplification.
  • Developing sensitive and reliable diagnostic tools is crucial for early disease detection.

Purpose of the Study:

  • To develop a highly sensitive, FRET-based homogeneous immunoassay.
  • To improve signal amplification in FRET immunoassays by modifying acceptor labeling strategy.
  • To validate the assay's performance for quantifying clinically relevant biomarkers.

Main Methods:

  • Developed a novel FRET-based homogeneous immunoassay.
  • Labeled the entire sandwich-structured immunocomplex with FRET acceptors.
  • Quantified carcinoembryonic antigen (CEA) and α-fetoprotein (AFP) in buffer and human plasma.

Main Results:

  • Achieved a 10-fold amplification of the FRET signal due to reduced donor-acceptor distance.
  • Reached sub-femtomolar limits of detection (LOD) for CEA and AFP in PBS buffer and blank plasma.
  • Successfully quantified CEA and AFP in human plasma samples, demonstrating clinical applicability.

Conclusions:

  • The developed FRET immunoassay offers superior sensitivity for clinical diagnostics.
  • The modified labeling strategy significantly enhances FRET signal amplification.
  • This method provides a reliable platform for quantifying biomarkers in biological samples.

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