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Ultrasensitive Electrochemiluminescence Immunosensor for Bladder Marker Human Complement Factor H-Related Protein
Jingjing Zhang1, Fenglian Guo1, Jingfeng Zhu2
1School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Analytical Chemistry
|July 21, 2023
Summary
An ultrasensitive electrochemiluminescence (ECL) immunosensor was developed for detecting bladder cancer marker CFHR1. This noninvasive method shows promise for early diagnosis and monitoring of bladder cancer.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Oncology
Background:
- Early detection of bladder cancer is crucial for effective treatment and improved patient outcomes.
- Current diagnostic methods can be invasive or lack sufficient sensitivity.
- Developing noninvasive and highly sensitive biomarkers for bladder cancer is a significant clinical need.
Purpose of the Study:
- To establish an ultrasensitive electrochemiluminescence (ECL) immunosensor for the early detection of bladder cancer.
- To detect the bladder cancer marker complement factor H-related protein (CFHR1) using a novel immunosensor.
- To provide a noninvasive and accurate diagnostic tool for bladder cancer.
Main Methods:
- Fabrication of an ECL signal probe using Ru(bpy)32+-metal-organic framework (Ru-MOF) nanospheres, gold nanoparticles (AuNPs), and an antibody (Ab2).
- Development of a DNA tetrahedral (TDN) probe immobilized with an antibody (Ab1) as the capture probe on the electrode.
- Utilizing immune binding between CFHR1, the capture probe, and the signal probe to generate a measurable ECL signal.
Main Results:
- The developed ECL immunosensor demonstrated ultrasensitive detection of CFHR1.
- Detection range was from 0.1 fg/mL to 10 pg/mL with a low limit of detection (0.069 fg/mL).
- The method showed acceptable accuracy in detecting CFHR1 in urine, distinguishing bladder cancer patients from healthy individuals.
Conclusions:
- The Ru-MOF and TDN-based ECL immunosensor offers a novel, noninvasive, and accurate approach for bladder cancer diagnosis.
- This technology has the potential for early clinical diagnosis and monitoring of bladder cancer.
- The developed method provides a sensitive platform for detecting cancer biomarkers in biological samples.

