Biosensors in Parkinson's disease.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 09 01 2021
revised: 08 03 2021
accepted: 12 03 2021
pubmed: 24 3 2021
medline: 22 6 2021
entrez: 23 3 2021
Statut: ppublish

Résumé

Parkinson's disease (PD) is one of the most critical disorders of the elderly and strongly associated with increased disability, and reduced quality of life. PD is a progressive neurodegenerative disease affecting more than six million people worldwide. Evaluation of clinical manifestations, as well as movement disorders by a neurologist and some routine laboratory tests are the most important diagnostic methods for PD. However, routine and old methods have several disadvantages and limitations such as low sensitivity and selectivity, high cost, and need for advanced equipment. Biosensors technology opens up new diagnoses approach for PD with the use of a new platform that allows reliable, repeatable, and multidimensional identification to be made with minimal problem and discomfort for patients. For instance, biosensing systems can provide promising tools for PD treatment and monitoring. Amongst biosensor technology, electrochemical techniques have been at the frontline of this progress, thanks to the developments in material science, such as gold nanoparticles (AuNPs), quantum dots (QDs), and carbon nanotubes (CNTs). This paper evaluates the latest progress in electrochemical and optical biosensors for PD diagnosis.

Identifiants

pubmed: 33753044
pii: S0009-8981(21)00085-1
doi: 10.1016/j.cca.2021.03.009
pii:
doi:

Substances chimiques

Nanotubes, Carbon 0
alpha-Synuclein 0
Gold 7440-57-5

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

51-58

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Ahmad Mobed (A)

Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran; Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address: Mobeda@tbzmed.ac.ir.

Siamak Razavi (S)

Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Iran.

Ali Ahmadalipour (A)

Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Iran.

Seyed Kazem Shakouri (SK)

Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran; Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Ghazal Koohkan (G)

Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran; Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

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Classifications MeSH