Abstract

Biosensors have shown great potential in realizing rapid, low cost, and portable on-site detection for diseases. This work reports the development of a new bioelectronic sensor called AC electrokinetics-based capacitive (ABC) biosensor, for the detection of genomic DNA (gDNA) of methicillin-resistant Staphylococcus aureus (MRSA). The ABC sensor is based on interdigitated microelectrodes biofunctionalized with oligonucleotide probes. It uses a special AC signal for direct capacitive monitoring of topological change on nanostructured sensor surface, which simultaneously induces dielectrophoretic enrichment of target gDNAs. As a result, rapid and specific detection of gDNA/probe hybridization can be realized with high sensitivity. It requires no signal amplification such as labeling, hybridization chain reaction, or nucleic acid sequence-based amplification. This method involves only simple sample preparation. After optimization of nanostructured sensor surface and signal processing, the ABC sensor demonstrated fast turnaround of results (~10 s detection), excellent sensitivity (a detection limit of 4.7 DNA copies/µL MRSA gDNA), and high specificity, suitable for point of care diagnosis. As a bioelectronic sensor, the developed ABC sensors can be easily adapted for detections of other infectious agents.

Highlights

  • Identification of antimicrobial resistance (AMR) pathogens is essential to finding proper clinical intervention and reducing the spread of AMR

  • We have developed an AC electrokinetics (ACEK)based capacitive (ABC) sensing method to detect bacterial DNA genome for the first time in a point of care (POC) setting

  • If electrochemical reactions are to be avoided, electrical charge transfer through the interface needs to be capacitive in nature, which is represented by change at the interface (Cint) [25]

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. On-site detection of infectious pathogens has unmet needs of finding a rapid, sensitive, specific, and easy-to-do sensing method. Antimicrobial resistance (AMR) is quickly becoming a global threat, which could make infections difficult to treat. Identification of AMR pathogens is essential to finding proper clinical intervention and reducing the spread of AMR. Staphylococcus aureus (S. aureus) is a major pathogen responsible for a variety of infectious diseases, and methicillin-resistant

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