Skip to main navigation Skip to search Skip to main content

Graphene quantum dot–based electrochemical biosensing for early cancer detection

  • Tanveer A. Tabish
  • , Hasan Hayat
  • , Aumber Abbas
  • , Roger J. Narayan*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

74 Scopus citations

Abstract

Electrochemical biosensing systems coupled with graphene quantum dots (GQDs) have demonstrated suitability for cancer diagnostic strategies, particularly to identify the changes facilitating the early phases of tumorigenesis as well as to detect ultralow concentrations of biomarkers that distinguish between normal and malignant cells. GQDs, known as a novel class of zero-dimensional semiconductor nanocrystals, are tiny graphene particles arranged in a honeycomb structure with a size range of 1–50 nm. The size of these GQDs is comparable with the size of biomolecules, thereby providing an ideal platform to study biomolecules such as proteins, cells, and viruses. GQDs are a superior platform for specific and sensitive recognition of cancer biomarkers; they are highly synergistic with electrochemical sensors. This review will shed light on the recent advancements made in the field of GQD-based electrochemical sensors for early cancer detection, with the aim of highlighting the prospects for further development in cancer diagnostics.

Original languageEnglish
Article number100786
JournalCurrent Opinion in Electrochemistry
Volume30
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer detection
  • Electrochemical biosensing
  • Graphene quantum dot

ASJC Scopus subject areas

  • Analytical Chemistry
  • Electrochemistry

Fingerprint

Dive into the research topics of 'Graphene quantum dot–based electrochemical biosensing for early cancer detection'. Together they form a unique fingerprint.

Cite this