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Current Medicinal Chemistry

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Review Article

New Insights into the Biosensing of Parkinson's Disease Biomarkers: A Concise Review

Author(s): Elaheh Sadat Hosseini*, Soheila Mohammadi*, Reza Khodarahmi, Mohamad Hassan Fouani, Omid Tavallaei, Khojaste Rahimi Jaberi, Zahra Shabaninejad, Sajjad Janfaza, Rezvan Yazdian-Robati and Soraya Sajadimajd

Volume 29, Issue 22, 2022

Published on: 18 February, 2022

Page: [3945 - 3972] Pages: 28

DOI: 10.2174/0929867328666211213111812

Price: $65

Open Access Journals Promotions 2
Abstract

Background: Parkinson’s disease (PD) is a long-term, degenerative, and neurological disease in which a person loses control of certain body functions. The formulation of novel effective therapeutics for PD as a neurodegenerative disease requires accurate and efficient diagnosis at the early stages.

Objective: Analyzing data gathered by measurable signals converted from biological reactions allows for qualitative and quantitative evaluations. Among various approaches reported so far, biosensors are powerful analytical tools that have been used in detecting the biomarkers of PD.

Methods: Biosensor’s biological recognition components include antibodies, receptors, microorganisms, nucleic acids, enzymes, cells and tissues, and biomimetic structures. This review introduces electrochemical, optical, and optochemical detection of PD biomarkers based on recent advances in nanotechnology and material science, which resulted in the development of high-performance biosensors in this field.

Results: PD biomarkers such as α-synuclein protein, dopamine (DA), urate, ascorbic acid, miRNAs, and their biological roles are summarized. Additionally, the advantages and disadvantages of the usual standard methods are reviewed. We compared electrochemical, optical, and optochemical biosensors' properties and novel strategies for higher sensitivity and selectivity.

Conclusion: The development of novel biosensors is required for the early diagnosis of PD as sensitive, rapid, reliable, and cost-effective systems.

Keywords: Neurodegenerative disease, electrochemical biosensors, optical biosensors, optochemical biosensors, parkinson, biomarker.

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