Electrochemical biosensors utilizing nanomaterials have received widespread attention in pathogen detection and monitoring. Here, the potential of different nanomaterials and electrochemical technologies is reviewed for the development of novel diagnostic devices for the detection of foodborne pathogens and their biomarkers. The overview covers basic electrochemical methods and means for electrode functionalization, utilization of nanomaterials that include quantum dots, gold, silver and magnetic nanoparticles, carbon nanomaterials (carbon and graphene quantum dots, carbon nanotubes, graphene and reduced graphene oxide, graphene nanoplatelets, laser-induced gra-phene), metal oxides (nanoparticles, 2D and 3D nanostructures) and other 2D nanomaterials. More-over, the current and future landscape of synergic effects of nanocomposites combining different nanomaterials is provided to illustrate how the limitations of traditional technologies can be over-come to design rapid, ultrasensitive, specific and affordable biosensors.

Advances in nanomaterials-based electrochemical biosensors for foodborne pathogen detection

Vizzini P.;
2021-01-01

Abstract

Electrochemical biosensors utilizing nanomaterials have received widespread attention in pathogen detection and monitoring. Here, the potential of different nanomaterials and electrochemical technologies is reviewed for the development of novel diagnostic devices for the detection of foodborne pathogens and their biomarkers. The overview covers basic electrochemical methods and means for electrode functionalization, utilization of nanomaterials that include quantum dots, gold, silver and magnetic nanoparticles, carbon nanomaterials (carbon and graphene quantum dots, carbon nanotubes, graphene and reduced graphene oxide, graphene nanoplatelets, laser-induced gra-phene), metal oxides (nanoparticles, 2D and 3D nanostructures) and other 2D nanomaterials. More-over, the current and future landscape of synergic effects of nanocomposites combining different nanomaterials is provided to illustrate how the limitations of traditional technologies can be over-come to design rapid, ultrasensitive, specific and affordable biosensors.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1213917
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