An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection

Area of Science:

• Biomedical Engineering
• Molecular Diagnostics
• Electrochemistry

Background:

• Single-label assays in complex biological samples have limitations.
• Reliable detection of multiple targets requires advanced methodologies.
• Electrochemical biosensors offer sensitive detection platforms.

Purpose of the Study:

• To develop a computing electrochemical biosensor for multi-target detection.
• To implement logic gate functions (AND, OR) for pattern recognition.
• To enhance sensitivity and reduce detection limits for biomarkers.

Main Methods:

• Design of "smart automata" electrochemical biosensors.
• Utilizing logic combinations of microRNAs (miR-21, miR-122) as detection patterns.
• Employing ferrocene (Fc)-tagged DNA fragments and square wave voltammetry (SWV).

Main Results:

• Demonstrated efficient and sensitive detection of two targets using AND and OR logic gates.
• Achieved significant current signal decrease upon target binding, lowering detection limits.
• Validated the biosensor's ability to generate direct binary outputs (0 or 1).

Conclusions:

• The developed computing biosensor provides an innovative and simplified detection mode.
• This approach enhances biomarker monitoring, especially for low-abundance targets.
• The programmable DNA probe system shows potential for broad clinical applications.