SAM Composition and Electrode Roughness Affect Performance of a DNA Biosensor for Antibiotic Resistance

Area of Science:

• Biomedical Engineering
• Electrochemistry
• Molecular Diagnostics

Background:

• Antibiotic resistance poses a significant global health threat, necessitating rapid diagnostic tools.
• Point-of-care (PoC) assays are vital for timely, targeted antibiotic therapy, improving patient outcomes and preserving antibiotic efficacy.
• Developing portable, low-cost electrochemical biosensors for PoC applications presents challenges in translating benchtop systems.

Purpose of the Study:

• To investigate the impact of different electrode surfaces and bio-recognition elements (self-assembled monolayers, SAMs) on biosensor performance.
• To evaluate commercially available electrodes for their suitability in PoC antibiotic resistance detection.
• To understand how electrode-SAM interactions influence the detection of antibiotic resistance gene hybridization.

Main Methods:

• Utilized electrochemical and physical techniques to analyze biosensor performance.
• Examined various commercially available electrode surfaces.
• Investigated the role of different self-assembled monolayer (SAM) bio-recognition layers.

Main Results:

• Demonstrated that both electrode surface characteristics and SAM composition critically affect biosensor performance.
• Identified specific electrode and SAM combinations that show promise for PoC applications.
• Highlighted the importance of careful selection of electrode materials for optimal biosensor function.

Conclusions:

• Electrode selection is a key factor in developing effective biosensors for antibiotic resistance detection.
• Optimizing the interplay between electrode surfaces and SAMs is essential for advancing PoC diagnostic technologies.
• This research provides insights for designing improved biosensors for rapid antibiotic resistance surveillance.