Related Experiment Video
Updated: Sep 18, 2025
07:13
Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays
Published on: June 28, 2024
1.6K
Fluorescent-Electrochemical-Colorimetric Triple-Model Immunoassays with Multifunctional Metal-Organic Frameworks for
Ning Xia1, Chuye Zheng1, Gang Liu1
1Henan Province Key Laboratory of New Opto-Electronic Functional Materials, College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Biosensors
|June 25, 2025
Summary
This study introduces a novel triple-mode immunoassay using copper-based metal-organic frameworks (MOFs) for enhanced biosensing. This platform offers improved accuracy and reliability for disease diagnosis through fluorescence, electrochemistry, and colorimetric detection.
Area of Science:
- Biosensing and diagnostics
- Materials science
- Analytical chemistry
Background:
- Multimode immunoassays enhance biosensing accuracy and reliability.
- Developing triple-mode immunoassays is challenging due to material and signal transduction limitations.
Purpose of the Study:
- To develop a novel fluorescent-electrochemical-colorimetric triple-mode immunoassay platform.
- To utilize copper-based metal-organic frameworks (MOFs) as multifunctional signal labels.
Main Methods:
- Cu-MOFs were used as signal labels and decomposed under acidic conditions to release Cu2+ ions and NH2-BDC ligands.
- Fluorescence titration was used to detect NH2-BDC.
- Differential pulse voltammetry (DPV) quantified Cu2+.
- Colorimetric detection of Cu2+ was achieved via catalytic oxidation of TMB.
Main Results:
- The triple-mode immunoassay demonstrated good performance for alpha-fetoprotein (AFP) detection.
- Linear ranges were 10-200 pg/mL (fluorescent), 10-200 pg/mL (electrochemical), and 1-100 pg/mL (colorimetric).
Conclusions:
- The proposed Cu-MOF-based triple-mode biosensing platform offers a reliable and versatile approach for disease diagnosis.
- The platform is easily adaptable for detecting various analytes by modifying targets and recognition elements.
