1,460
Views
62
CrossRef citations to date
0
Altmetric
Review Article

Carbon Nanomaterial-Based Electrochemical Biosensors for Foodborne Bacterial Detection

ORCID Icon, ORCID Icon, , , , ORCID Icon, & ORCID Icon show all
Pages 510-533 | Published online: 16 Jan 2019
 

Abstract

The development of easy to use, rapid and sensitive methods for direct detection of foodborne bacterial pathogens has become significantly important due to their impact on human health. In recent years, carbon nanomaterials have been adapted in the fabrication of electrochemical biosensors due to their exceptional combination of intrinsic properties such as high conductivity, stability and biocompatibility that render them as a promising candidate for bio-sensing material. The scope of this review is to provide a brief history of the current methods and different types of electrochemical biosensors used for the detection of bacterial pathogens. We primarily focus on the recent progress and applications of graphene, carbon nanotubes and their derivatives in electrochemical biosensors for foodborne bacterial pathogens detection. Finally, the status and future prospects of carbon-based electrochemical biosensors are also reviewed and discussed.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors wish to express their appreciation to the financial support from the University of Malaya Flagship grant [FL001A-14AET] and Ministry of Higher Education (MOHE) Transdisciplinary Research Grant Scheme [TR002B-2014B, TR002C-2014B].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 451.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.