• DocumentCode
    3610208
  • Title

    Graphene-Based Glucose Sensors: A Brief Review

  • Author

    Feifei Wang ; Lianqing Liu ; Li, Wen J.

  • Author_Institution
    State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
  • Volume
    14
  • Issue
    8
  • fYear
    2015
  • Firstpage
    818
  • Lastpage
    834
  • Abstract
    Since the existence of graphene, a material only a single atomic layer thick, was demonstrated about a decade ago, it has caught the attention of researchers worldwide. This paper begins with a historical overview of graphene since its discovery, in 2004, and focuses on a citation-weighted review of graphene-based sensors developed for the detection of biological targets. Based on this statistical analysis, we categorize recent developments in graphene-based biosensors (GBBs) as optimized for detecting 1) proteins, 2) nucleic acids, 3) carbohydrates, or 4) compounds generated by metabolic processes. Existing detection methods employed by these sensors include electrical, electrochemical, and photonic approaches with respect to detecting labeled (or enzyme-assisted) and label-free (or enzyme-free) probe structures. Herein, we focus on graphene-based glucose sensors because glucose-monitoring technology is extremely important in the management of diabetes and many practical examples of these carbohydrate sensors have been developed using the aforementioned detection methods.
  • Keywords
    biosensors; chemical sensors; graphene; carbohydrate detection; carbohydrate sensors; citation-weighted review; detection method; diabetes; electrochemical approach; enzyme-assisted probe structure; enzyme-free probe structure; glucose-monitoring technology; graphene-based biosensors; graphene-based glucose sensors; historical overview; include electrical approach; metabolic processes; nucleic acid detection; photonic approach; protein detection; single atomic layer thick; statistical analysis; Biosensors; Conductivity; Graphene; Logic gates; Molecular biophysics; Sugar; Bio-detection principles; biosensor; enhancement mechanisms; glucose sensor; graphene;
  • fLanguage
    English
  • Journal_Title
    NanoBioscience, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1241
  • Type

    jour

  • DOI
    10.1109/TNB.2015.2475338
  • Filename
    7327208