Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/109899
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Type: Journal article
Title: Carbon nanomaterial based biosensors for non-invasive detection of cancer and disease biomarkers for clinical diagnosis
Author: Pasinszki, T.
Krebsz, M.
Tung, T.
Losic, D.
Citation: Sensors, 2017; 17(8):1-32
Publisher: MDPI AG
Issue Date: 2017
ISSN: 1424-8220
1424-8220
Statement of
Responsibility: 
Tibor Pasinszki, Melinda Krebsz, Thanh Tran Tung and Dusan Losic
Abstract: The early diagnosis of diseases, e.g., Parkinson's and Alzheimer's disease, diabetes, and various types of cancer, and monitoring the response of patients to the therapy plays a critical role in clinical treatment; therefore, there is an intensive research for the determination of many clinical analytes. In order to achieve point-of-care sensing in clinical practice, sensitive, selective, cost-effective, simple, reliable, and rapid analytical methods are required. Biosensors have become essential tools in biomarker sensing, in which electrode material and architecture play critical roles in achieving sensitive and stable detection. Carbon nanomaterials in the form of particle/dots, tube/wires, and sheets have recently become indispensable elements of biosensor platforms due to their excellent mechanical, electronic, and optical properties. This review summarizes developments in this lucrative field by presenting major biosensor types and variability of sensor platforms in biomedical applications.
Keywords: Biosensors; biomarker; cancer detection; graphene; carbon nanotubes; graphene oxide; quantum-dot
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI: 10.3390/s17081919
Grant ID: http://purl.org/au-research/grants/arc/IH150100003
Published version: http://dx.doi.org/10.3390/s17081919
Appears in Collections:ARC Research Hub for Graphene Enabled Industry Transformation publications
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