Glycan-Based Electrochemical Biosensors: Promising Tools for the Detection of Infectious Diseases and Cancer Biomarkers

Molecules. 2022 Dec 3;27(23):8533. doi: 10.3390/molecules27238533.

Abstract

Glycan-based electrochemical biosensors are emerging as analytical tools for determining multiple molecular targets relevant to diagnosing infectious diseases and detecting cancer biomarkers. These biosensors allow for the detection of target analytes at ultra-low concentrations, which is mandatory for early disease diagnosis. Nanostructure-decorated platforms have been demonstrated to enhance the analytical performance of electrochemical biosensors. In addition, glycans anchored to electrode platforms as bioreceptors exhibit high specificity toward biomarker detection. Both attributes offer a synergy that allows ultrasensitive detection of molecular targets of clinical interest. In this context, we review recent advances in electrochemical glycobiosensors for detecting infectious diseases and cancer biomarkers focused on colorectal cancer. We also describe general aspects of structural glycobiology, definitions, and classification of electrochemical biosensors and discuss relevant works on electrochemical glycobiosensors in the last ten years. Finally, we summarize the advances in electrochemical glycobiosensors and comment on some challenges and limitations needed to advance toward real clinical applications of these devices.

Keywords: cancer biomarker; electrochemical glycobiosensor; glycan; infectious disease.

Publication types

  • Review

MeSH terms

  • Biomarkers
  • Biomarkers, Tumor
  • Biosensing Techniques*
  • Communicable Diseases* / diagnosis
  • Early Detection of Cancer
  • Electrochemical Techniques
  • Humans
  • Neoplasms* / diagnosis
  • Polysaccharides

Substances

  • Biomarkers, Tumor
  • Biomarkers
  • Polysaccharides

Grants and funding

This research was funded by MINCIENCIAS, MINEDUCACION, MINCIT and ICETEX through the Program Ecosistema Científico Cod. FP44842-211-2018, project number 58536. J.O. thanks support from The University of Antioquia and the Max Planck Society through the cooperation agreement 566–1, 2014.