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An innovative method for the detection of alpha synuclein, a potential biomarker of Parkinson's disease: quartz tuning fork-based mass sensitive immunosensor design.
Sonuç Karaboga, Münteha Nur; Ünal, Mehmet Altay; Ari, Fikret; Sezgintürk, Mustafa Kemal; Özkan, Sibel Aysil.
Affiliation
  • Sonuç Karaboga MN; Faculty of Health Sciences, Tekirdag Namik Kemal University, Tekirdag, Turkey. mnsonuc@nku.edu.tr.
  • Ünal MA; Stem Cell Institue, Ankara University, Ankara, Turkey.
  • Ari F; Faculty of Engineering, Department of Electrical and Electronics Engineering, Ankara University, Ankara, Turkey.
  • Sezgintürk MK; Faculty of Engineering, Bioengineering Department, Çanakkale Onsekiz Mart University, Çanakkale, Turkey. msezginturk@comu.edu.tr.
  • Özkan SA; Faculty of Pharmacy, Ankara University, Ankara, Turkey.
Phys Chem Chem Phys ; 26(6): 5106-5114, 2024 Feb 07.
Article de En | MEDLINE | ID: mdl-38259152
ABSTRACT
An innovative biosensing fabrication strategy has been demonstrated for the first time using a quartz tuning fork (QTF) to develop a practical immunosensor for sensitive, selective and practical analysis of alpha synuclein protein (SYN alpha), a potential biomarker of Parkinson's disease. Functionalization of gold-coated QTFs was carried out in 2 steps by forming a self-assembled monolayer with 4-aminothiophenol (4-ATP) and conjugation of gold nanoparticles (AuNPs). The selective determination range for SYN alpha of the developed biosensor system is 1-500 ng mL-1 in accordance with the resonance frequency shifts associated with a limit of detection of 0.098 ng mL-1. The changes in surface morphology and elemental composition were evaluated using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and energy-dispersive X-ray spectroscopy (EDX). The remarkable point of the study is that this QTF based mass sensitive biosensor system can capture the SYN alpha target protein in cerebrospinal fluid (CSF) samples with recoveries ranging from 92% to 104%.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladie de Parkinson / Techniques de biocapteur / Nanoparticules métalliques Type d'étude: Diagnostic_studies Limites: Humans Langue: En Journal: Phys Chem Chem Phys Sujet du journal: BIOFISICA / QUIMICA Année: 2024 Type de document: Article Pays d'affiliation: Turquie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladie de Parkinson / Techniques de biocapteur / Nanoparticules métalliques Type d'étude: Diagnostic_studies Limites: Humans Langue: En Journal: Phys Chem Chem Phys Sujet du journal: BIOFISICA / QUIMICA Année: 2024 Type de document: Article Pays d'affiliation: Turquie