Advances in Nanomaterials-Based Electrochemical Biosensors for Foodborne Pathogen Detection.

2D nanomaterials carbon nanomaterials electrochemical biosensing foodborne pathogen gold nanoparticles graphene metal oxides nanomaterials quantum dots

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
13 Oct 2021
Historique:
received: 29 09 2021
revised: 07 10 2021
accepted: 09 10 2021
entrez: 23 10 2021
pubmed: 24 10 2021
medline: 24 10 2021
Statut: epublish

Résumé

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 graphene), metal oxides (nanoparticles, 2D and 3D nanostructures) and other 2D nanomaterials. Moreover, 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 overcome to design rapid, ultrasensitive, specific and affordable biosensors.

Identifiants

pubmed: 34685143
pii: nano11102700
doi: 10.3390/nano11102700
pmc: PMC8538910
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : European Commission
ID : 872662
Organisme : Ministry for Education, Science and Technology Development
ID : 451-03-9/2021-14/200053

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Auteurs

Ivan Bobrinetskiy (I)

BioSense Institute, University of Novi Sad, 21102 Novi Sad, Serbia.

Marko Radovic (M)

BioSense Institute, University of Novi Sad, 21102 Novi Sad, Serbia.

Francesco Rizzotto (F)

Micalis Institute, INRAE, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France.

Priya Vizzini (P)

Department of Agriculture Food, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy.

Stefan Jaric (S)

BioSense Institute, University of Novi Sad, 21102 Novi Sad, Serbia.

Zoran Pavlovic (Z)

BioSense Institute, University of Novi Sad, 21102 Novi Sad, Serbia.

Vasa Radonic (V)

BioSense Institute, University of Novi Sad, 21102 Novi Sad, Serbia.

Maria Vesna Nikolic (MV)

Institute for Multidisciplinary Research, University of Belgrade, 11030 Belgrade, Serbia.

Jasmina Vidic (J)

Micalis Institute, INRAE, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France.

Classifications MeSH