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Autofluorescence-Free Immunoassay Using X-ray Scintillating Nanotags
Xiang-Yu Ou1, Tao Guo1, Liang Song1
1MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry , Fuzhou University , Fuzhou 350002 , China.
Analytical Chemistry
|May 15, 2018
Summary
This study introduces an X-ray luminescence immunoassay using nanotags to overcome autofluorescence in biological samples. This novel method enables highly sensitive biomarker detection without background interference, advancing biosensing technologies.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Analytical Chemistry
Background:
- Autofluorescence in complex biological samples hinders sensitive fluorescence immunoassays (FIA).
- Developing autofluorescence-free biosensing methods is crucial for high-sensitivity detection.
Purpose of the Study:
- To develop a highly sensitive, autofluorescence-free immunoassay for biomarker detection.
- To utilize X-ray luminescence from nanotags for enhanced biosensing.
Main Methods:
- Synthesized NaGdF4:Tb@NaYF4 core/shell nanoparticles as X-ray scintillating nanotags.
- Employed a low-dose X-ray source for excitation, minimizing biological chromophore interference.
- Developed an X-ray luminescence immunoassay for biomarker detection.
Main Results:
- Achieved autofluorescence-free detection of biomarkers using X-ray scintillating nanotags.
- Demonstrated high efficiency in X-ray to visible light conversion with core/shell nanoparticles.
- Sensed alpha-fetoprotein (AFP) with a detection limit of 0.25 ng/mL.
- Showcased excellent biological specificity, stability, and sample recovery.
Conclusions:
- X-ray luminescence immunoassay offers a promising approach for high-sensitivity biosensing in complex samples.
- The developed nanotags and method overcome autofluorescence limitations of traditional immunoassays.
- Potential for multiplexing and medical diagnostic applications.
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