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Issue 88, 2017, Issue in Progress
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Early detection of Alzheimer's disease using a biosensor based on electrochemically-reduced graphene oxide and gold nanowires for the quantification of serum microRNA-137

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Abstract

Alzheimer's disease (AD) is the most common form of dementia, and its early detection using reliable molecular biomarkers is believed to be best approach to controlling and even curing it. Herein, we develop an ultrasensitive electrochemical nanobiosensor to quantify serum miR-137 as a validated biomarker of AD. Electrochemically-reduced graphene oxide (ERGO) and gold nanowires (AuNWs) are used to modify the surface of a screen-printed carbon electrode (SPCE) with the application of an intercalated label, doxorubicin (Dox). The fabrication steps are analysed via field emission scanning electron microscopy (FE-SEM) and energy dispersive spectroscopy (EDS), as well as two reliable electrochemical methods, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The results show that the linear range of the nanobiosensor is from 5.0 to 750.0 fM and its limit of detection is 1.7 fM. In addition, the nanobiosensor shows a great performance in specificity experiments and is able to discriminate between target oligos versus non-specific oligos (one-base mismatch target; three-base mismatch target, non-specific miR-21 and miR-155) very well. The evaluation of the sensing mechanism of the developed nanobiosensor in actual human serum reveals its potential clinical applications for the early detection of AD in the future.

Graphical abstract: Early detection of Alzheimer's disease using a biosensor based on electrochemically-reduced graphene oxide and gold nanowires for the quantification of serum microRNA-137

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Article information


Submitted
02 Sep 2017
Accepted
16 Nov 2017
First published
08 Dec 2017

This article is Open Access

RSC Adv., 2017,7, 55709-55719
Article type
Paper

Early detection of Alzheimer's disease using a biosensor based on electrochemically-reduced graphene oxide and gold nanowires for the quantification of serum microRNA-137

M. Azimzadeh, N. Nasirizadeh, M. Rahaie and H. Naderi-Manesh, RSC Adv., 2017, 7, 55709
DOI: 10.1039/C7RA09767K

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    [Original citation] - Published by The Royal Society of Chemistry.

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