| Autor: |
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., Scuderi M; Institute for Microelectronics and Microsystems of National Research Council of Italy (CNR-IMM), VIII Strada 5, 95121 Catania, Italy., 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., Salluzzo MG; Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy., Salemi M; Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy., 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., 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., 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., 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., 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. |
| Abstrakt: |
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) 6 4- /Fe(III)(CN) 6 3- probe. The charge transfer resistance after α-synuclein recognition was found to be linear, with a concentration in the range of 0.5 pg·mL -1 to 10 pg·mL -1 , a limit of detection of 0.08 pg·mL -1 , and good reproducibility (5% variation) and stability (90%). The biosensor was also shown to reliably discriminate between healthy plasma and PD plasma. These results suggest that the proposed biosensor provides a rapid, quantitative and high-sensitivity result of the α-synuclein content in plasma, and represents a feasible tool capable of accelerating the early and non-invasive identification of Parkinson's disease. |
