4.7 Review

Graphene-Based Biosensors for Molecular Chronic Inflammatory Disease Biomarker Detection

Journal

BIOSENSORS-BASEL
Volume 12, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/bios12040244

Keywords

biomarkers; graphene; biosensors; analytical platforms; inflammatory diseases

Funding

  1. project CONACyT, Mexico

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This article introduces the recent advances and potential of graphene derivative materials (GDMs) in developing biosensors. These materials have excellent properties and play an important role in the simple, accurate, and sensitive detection of biomarkers. Through electrochemical and optical sensing methods, these materials can be integrated into robust, wearable, remote, and smart biosensor devices for the detection of biomarkers for chronic inflammatory diseases.
Chronic inflammatory diseases, such as cancer, diabetes mellitus, stroke, ischemic heart diseases, neurodegenerative conditions, and COVID-19 have had a high number of deaths worldwide in recent years. The accurate detection of the biomarkers for chronic inflammatory diseases can significantly improve diagnosis, as well as therapy and clinical care in patients. Graphene derivative materials (GDMs), such as pristine graphene (G), graphene oxide (GO), and reduced graphene oxide (rGO), have shown tremendous benefits for biosensing and in the development of novel biosensor devices. GDMs exhibit excellent chemical, electrical and mechanical properties, good biocompatibility, and the facility of surface modification for biomolecular recognition, opening new opportunities for simple, accurate, and sensitive detection of biomarkers. This review shows the recent advances, properties, and potentialities of GDMs for developing robust biosensors. We show the main electrochemical and optical-sensing methods based on GDMs, as well as their design and manufacture in order to integrate them into robust, wearable, remote, and smart biosensors devices. We also describe the current application of such methods and technologies for the biosensing of chronic disease biomarkers. We also describe the current application of such methods and technologies for the biosensing of chronic disease biomarkers with improved sensitivity, reaching limits of detection from the nano to atto range concentration.

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