S-dots@CTAB micelle/PVDF-HFP/MB-OEt electrode-based microfluidic ECL biosensor for miR-483-5p detection in urinary...

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Materials Science

Background:

• Development of sensitive and specific biosensors is crucial for early disease diagnosis.
• Microfluidic systems offer advantages in sample handling and analysis speed.
• Electrochemical luminescence (ECL) biosensors provide high sensitivity and low detection limits.

Purpose of the Study:

• To develop a novel microfluidic electrochemiluminescence (ECL) biosensor for the detection of microRNA-483-5p.
• To enhance the performance of the ECL biosensor using a flexible electrode and optimized nanoprobe.
• To evaluate the biosensor's potential for clinical diagnosis of immunoglobulin A nephropathy (IgAN).

Main Methods:

• Fabrication of a self-supporting flexible electrode using PVDF-HFP/MoB MBene (PHMBO) with enhanced conductivity.
• Synthesis of S-dots@cetyltrimethylammonium bromide (S-dots@CTAB) micelle as an ECL nanoprobe with suppressed aggregation and enriched coreactant.
• Integration of the flexible electrode and nanoprobe into a microfluidic system for ECL detection.
• Detection of microRNA-483-5p in urinary extracellular vesicles (EVs) and differentiation between IgAN patients and healthy individuals.

Main Results:

• The developed PHMBO flexible electrode exhibited improved electrical conductivity.
• The S-dots@CTAB micelle nanoprobe demonstrated suppressed aggregation and enhanced ECL efficiency.
• The microfluidic ECL biosensor achieved sensitive detection of miR-483-5p with a linear range from 1 µM to 100 nM and a detection limit of 0.21 µM.
• The biosensor successfully distinguished between samples from IgAN patients and normal individuals.

Conclusions:

• A novel and sensitive microfluidic ECL biosensor was successfully developed.
• The biosensor shows great promise for the non-invasive clinical diagnosis of IgAN.
• This work provides a new strategy for developing advanced biosensing platforms for disease detection.