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Silver nanoflower-reduced graphene oxide composite based micro-disk electrode for insulin detection in serum

Authors
Yagati, Ajay KumarChoi, YonghyunPark, JinsooChoi, Jeong-WooJun, Hee-SookCho, Sungbo
Issue Date
15-Jun-2016
Publisher
ELSEVIER ADVANCED TECHNOLOGY
Keywords
Silver nanoflower; Reduced graphene oxide; Insulin; Impedance; Micro-disk; Indium tin oxide
Citation
BIOSENSORS & BIOELECTRONICS, v.80, pp.307 - 314
Journal Title
BIOSENSORS & BIOELECTRONICS
Volume
80
Start Page
307
End Page
314
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8176
DOI
10.1016/j.bios.2016.01.086
ISSN
0956-5663
Abstract
Sensitive and selective determination of protein biomarkers remains a significant challenge due to the existence of various biomarkers in human body at a low concentration level. Therefore, new technologies were incessantly steered to detect tiny biomarkers at a low concentration level, yet, it is difficult to develop reliable, stable and sensitive detection methods for disease diagnostics. Therefore, the present study demonstrates a methodology to detect insulin in serum at low levels based on Ag nanoflower (AgNF) decorated reduced graphene oxide (rGO) modified micro-disk electrode arrays (MDEAs). The morphology of AgNF-rGO composite was characterized by scanning electron microscopy, the structure was analyzed using X-ray diffraction patterns and Raman spectra. The hybrid interface exhibited enhanced electrical conductivity when compared with its individual elements and had improved capturing ability for antibody-antigen binding towards insulin detection. In order to measure quantitatively the insulin concentration in PBS and human serum, the change in impedance (Delta Z) from electrochemical impedance spectroscopy was analyzed for various concentrations of insulin in [Fe(CN)6](3-/4-) redox couple. The electrode with adsorbed antibodies showed an increase in Delta Z for the addition of antigen concentrations over a working range of 1-1000 ng ml(-1). The detection limits were 50 and 70 pg ml(-1) in PBS and human serum, respectively. (C) 2016 Elsevier B.V. All rights reserved.
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