Pain-Free Alpha-Synuclein Detection by Low-Cost Hierarchical Nanowire Based Electrode.

Parkinson’s disease gold nanoparticles pain-free α-synuclein detection zinc oxide nanowire

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
12 Jan 2024
Historique:
received: 20 12 2023
revised: 09 01 2024
accepted: 10 01 2024
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: epublish

Résumé

Analytical methods for the early detection of the neurodegenerative biomarker for Parkinson's disease (PD), α-synuclein, are time-consuming and invasive, and require skilled personnel and sophisticated and expensive equipment. Thus, a pain-free, prompt and simple α-synuclein biosensor for detection in plasma is highly demanded. In this paper, an α-synuclein electrochemical biosensor based on hierarchical polyglutamic acid/ZnO nanowires decorated by gold nanoparticles, assembled as nanostars (NSs), for the determination of α-synuclein in human plasma is proposed. ZnO NSs were prepared by chemical bath deposition (CBD) and decorated with electrodeposited Au nanoparticles (Au NPs). Then, electro-polymerized glutamic acid was grown and functionalized with anti-α-synuclein. A synergistic enhancement of electrode sensitivity was observed when Au NPs were embedded into ZnO NSs. The analytical performance of the biosensor was evaluated by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS), using the Fe(II)(CN)

Identifiants

pubmed: 38251136
pii: nano14020170
doi: 10.3390/nano14020170
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ministero dell' Università e della Ricerca
ID : 4FRAILTY - Contract PON 2017 Grant Agreement n. ARS01_00345, CUP: E66C1800020005, UNICT 2020-22 linea 2 PIA.CE.RI "NaTI4Smart Sviluppo di Nanomateriali e Tecnologie Innovative per Smart detection

Auteurs

Gisella M Di Mari (GM)

Department of Physics and Astronomy, University of Catania, "Ettore Majorana", Via Santa Sofia 64, 95123 Catania, Italy.
Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), Catania (University) UNIT, Via S. Sofia 64, 95123 Catania, Italy.

Mario Scuderi (M)

Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), VIII Strada 5, 95121 Catania, Italy.

Giuseppe Lanza (G)

Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.
Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy.

Maria Grazia Salluzzo (MG)

Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy.

Michele Salemi (M)

Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy.

Filippo Caraci (F)

Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy.
Department of Drug and Health Sciences, University of Catania, Via Santa Sofia 64, 95123 Catania, Italy.

Elena Bruno (E)

Department of Physics and Astronomy, University of Catania, "Ettore Majorana", Via Santa Sofia 64, 95123 Catania, Italy.
Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), Catania (University) UNIT, Via S. Sofia 64, 95123 Catania, Italy.

Vincenzina Strano (V)

Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), Catania (University) UNIT, Via S. Sofia 64, 95123 Catania, Italy.

Salvo Mirabella (S)

Department of Physics and Astronomy, University of Catania, "Ettore Majorana", Via Santa Sofia 64, 95123 Catania, Italy.
Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), Catania (University) UNIT, Via S. Sofia 64, 95123 Catania, Italy.

Antonino Scandurra (A)

Department of Physics and Astronomy, University of Catania, "Ettore Majorana", Via Santa Sofia 64, 95123 Catania, Italy.
Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), Catania (University) UNIT, Via S. Sofia 64, 95123 Catania, Italy.
Research Unit of the University of Catania, National Interuniversity Consortium of Materials Science and Technology (INSTM-UdR of Catania), Via Santa Sofia 64, 95125 Catania, Italy.

Classifications MeSH