Recent progress in the graphene-based biosensing approaches for the detection of Alzheimer's biomarkers

Copyright © 2022 Elsevier B.V. All rights reserved..

Alzheimer's disease (AD) is one of the most common types of neurodegenerative disorders. It is possible to identify AD early thanks to the measurement of specific biomarker levels. Owing to crucial roles of biomarkers in the AD, the detection of AD-related biomarkers may be suitable for predictive identification of AD. Biosensors is a novel tool that could be beneficial to appreciate recognition of several AD biomarkers as early as possible. Graphene and its derivatives containing graphene oxide (GO) and reduced-GO (rGO) can be good choice for biosensing approaches due to their unique properties. GO/rGO-based biosensors or nanosensors have been widely used for the determination of AD biomarkers. In this article, the general aspects of AD, its biomarkers, biosensors, and GO are overviewed. In addition, this review provides the current developments in the applications of graphene-based biosensors for recognition of AD biomarkers. Future perspectives and challenges of graphene-based biosensing as a new approach for detection of AD are discussed in brief as well.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:222

Enthalten in:

Journal of pharmaceutical and biomedical analysis - 222(2023) vom: 05. Jan., Seite 115084

Sprache:

Englisch

Beteiligte Personen:

Rouhi, Nadiyeh [VerfasserIn]
Akhgari, Abbas [VerfasserIn]
Orouji, Neda [VerfasserIn]
Nezami, Alireza [VerfasserIn]
Rahimzadegan, Milad [VerfasserIn]
Kamali, Hossein [VerfasserIn]

Links:

Volltext

Themen:

7782-42-5
Alzheimer
Biomarkers
Biosensors
Graphene oxide
Graphite
Journal Article
Nanosensors
Neurodegenerative disease
Review

Anmerkungen:

Date Completed 07.11.2022

Date Revised 07.11.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jpba.2022.115084

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM346990785