4.8 Article

Device-Physics Realization of ZnO-MWCNT Nanostructure-Based Field-Effect Biosensor for Ultrasensitive Simultaneous Genomic Detection of Foodborne Pathogens

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ANALYTICAL CHEMISTRY
卷 95, 期 39, 页码 14695-14701

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AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.3c02786

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Despite the limitations of complex interactions between nanostructures and target analytes, this paper investigates a field-effect-based biosensor device using energy band diagrams and surface potential profiles. Detection of hazardous foodborne pathogens is carried out using a zinc oxide and MWCNT composite nanostructure. The study addresses the challenge of biosensor device variability through the selection of operating voltage.
The complex and versatile interactions among the wide variety of the nanostructures and the target analytes have primarily limited the detailed investigation of the transduction mechanism of nanomaterial-assisted electrical signal-based biosensors despite their high sensitivity, low-cost, portability, and ease of deployment. Hence, no common ground is formed detailing the principle of operation, demanding a strong need for systematic examination instead of hit and trial. Therefore, a maiden mechanistic investigation has been carried out in this paper for a field-effect-based biosensor device relying on the energy band diagram and the surface potential profile. To demonstrate the experimental evidence and appreciate the importance of food safety, three hazardous foodborne pathogens (Proteus mirabilis, Escherichia coli, and Clostridium botulinum) have been detected herein. The biosensor device, built on a hydrothermally synthesized zinc oxide and MWCNT (ZnO-MWCNT) composite nanostructure, simultaneously incorporates three fairly specific ss-DNA probes. Furthermore, the unmet challenge of biosensor device variability is addressed through the optimum selection of operating voltage of the device via a unique voltage-selection-algorithm. We believe that the rigorous experimentation and the insightful device-physics realization demonstrated in this work will pave the way for a future decisive biosensor platform.

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