| Literature DB >> 27829557 |
Myung-Sic Chae1, Jinsik Kim2, Dahye Jeong2, YoungSoo Kim3, Jee Hoon Roh4, Sung Min Lee5, Youhee Heo2, Ji Yoon Kang2, Jeong Hoon Lee6, Dae Sung Yoon7, Tae Geun Kim8, Suk Tai Chang9, Kyo Seon Hwang10.
Abstract
We performed oxygen plasma treatment on reduced graphene oxide (rGO) to improve its surface reactivity with respect to biomolecular interactions. Oxygen-plasma-treated rGO surfaces were employed as reactive interfaces for the detection of amyloid-beta (Aβ) peptides, the pathological hallmarks of Alzheimer's disease (AD), as the target analytes. By measuring the changes in electrical characteristics and confirmation through topographic analysis, the oxygen-plasma-treated rGO sensors had enhanced surface functionality for better antibody immobilization and sensing performance, with a 3.33-fold steeper slope for the electrical responses versus analyte concentration curve (logarithmic scale) compared to the untreated. The elicited biomolecular reactivity of the rGO surfaces with the oxygen plasma treatment remained at 46-51% of the initial value even after aging for 6h in ambient conditions. This phenomenon was also confirmed by pretreating the rGO surfaces with a blocking agent and subsequently subjecting them to antibody immobilization. Finally, the feasibility of the oxygen-plasma-treated rGO sensors as a diagnostic tool was evaluated with clinical samples of neural-derived exosomal Aβ peptides extracted from apparent AD patients and normal controls (NC). In contrast to the untreated sensors (p=0.0460), the oxygen-plasma-treated rGO sensors showed a significant p-value in the identification of clinical samples of AD and NC subjects (p<0.001). These results suggest that oxygen plasma treatment improves sensor performance without complicated fabrication procedures and should aid in the development of novel diagnostic tools based on carbon nanomaterials.Entities:
Keywords: Alzheimer's diseases; Biosensor; Exosome; Oxygen plasma treatment; Reduced graphene oxide
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Year: 2016 PMID: 27829557 DOI: 10.1016/j.bios.2016.10.049
Source DB: PubMed Journal: Biosens Bioelectron ISSN: 0956-5663 Impact factor: 10.618