Applied Science and Convergence Technology 2021; 30(4): 111-114
Published online July 30, 2021
https://doi.org/10.5757/ASCT.2021.30.4.111
Copyright © The Korean Vacuum Society.
Kyung Ho Kima , † , Jai Eun Ana , † , Jun-Seob Kimb , Joonwon Baec , * , and Oh Seok Kwona , d , *
aInfectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
bDepartment of Nano-Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
cDepartment of Applied Chemistry, Dongduk Women’s University, Seoul 02748, Republic of Korea
dNanobiotechnology and Bioinformatics (Major), University of Science & Technology (UST), Daejeon 34141, Republic of Korea
Correspondence to:E-mail: oskwon7799@gmail.com, joonwonbae@gmail.com
†Contributed equally to this work as first author.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this study, a convenient high-performance portable sensor platform for simple, fast, and efficient detection of H1N1 virus is demonstrated using a graphene-based transistor type architecture. A uniform graphene layer was generated and patterned by conventional methods such as lithography and vapor deposition, subsequently, electrodes were introduced on the patterned graphene layer to obtain transistor type sensor geometry. Then, the graphene surface was functionalized with antibody for H1N1 virus detection and sensor performance test. The transition curve, linearity, and sensitivity (10 pfu/mL) of the sensor component were measured. In addition, the portable H1N1 diagnosis platform for simple, fast, and convenient virus detection was produced and demonstrated. Consequently, the sensor performance was maintained in the portable sensor platform compared with the graphene-based sensor component. This presented portable H1N1 diagnosis platform showed better performance than the lateral flow assay.
Keywords: Graphene, Portable biosensor, Field-effect transistor, H1N1