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- W2759969211 abstract "Carbon nanoscroll (CNS) with extraordinary electrical, physical and optical properties is an ideal candidate on sensor applications. It has great potential in biosensing owing to its outstanding properties like large surface-to-volume ratio, high conductivity, high flexibility and biocompatibility. In this research, we demonstrate a CNS-based biosensor to electrochemically detect glucose with high specificity and sensitivity. To this end, glucose absorption effect on the sensing area in the form of carrier concentration and quantum capacitance variations is investigated. Also, the caused electrical response on CNS as a detection element is analytically proposed, in which significant current increase of the CNS-based biosensor is observed after exposure to glucose. The proposed CNS-based glucose biosensor exposes higher current compared to that of carbon nanotube counterpart for analogous ambient conditions. Moreover, the comparative results provide evidence of good consensus between the model and experimental data of platinum nanoparticles/graphene nanoscrolls (Pt/GSS) and Pt/nitrogen-doped GSS (Pt/N-GSS) nanocomposites-based biosensors. Main findings of this research can be served as a high throughput platform to analytically predict the behaviour of the sensing mechanism in glucose biosensors. The results further reveal that the CNS biosensor demonstrates not only high sensitivity and broad linear range but also long-term stability and low detection limit." @default.
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- W2759969211 date "2017-09-02" @default.
- W2759969211 modified "2023-09-26" @default.
- W2759969211 title "Analytical prediction of carbon nanoscroll-based electrochemical glucose biosensor performance" @default.
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- W2759969211 doi "https://doi.org/10.1080/03067319.2017.1377521" @default.
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