한빛사 논문
가천대학교
Min Su Kim,†,∥ Seongyeon Cho,‡ Se Hun Joo,§ Junsang Lee,∥ Sang Kyu Kwak,*,§ Moon Il Kim,*,‡ and Jinwoo Lee*,∥
† Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Republic of Korea
‡ Department of BioNano Technology, Gachon University, Seongnam, Gyeonggi 13120, Republic of Korea
§ Department of Energy Engineering, School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
∥ Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
*Corresponding Authors
Author Contributions
M.S.K., S.C., and S.H.J. contributed equally to this work.
Abstract
The work describes a carbon-based peroxidase mimic, N- and B-codoped reduced graphene oxide (NB-rGO), which shows high peroxidase-like activity without oxidase-like activity and has a catalytic efficiency nearly 1000-fold higher than that of undoped rGO. The high catalytic activity of NB-rGO is explained by density functional theory by calculating Gibbs free energy change during the peroxide decomposition reaction. Acetylcholine and C-reactive protein are successfully quantified with high sensitivity and selectivity, which were comparable to or better than those obtained using natural peroxidase. Furthermore, NB-rGO, which does not have oxidase-like activity, is proven to have higher sensitivity toward acetylcholine than Pt nanoparticles having oxidase-like activity. This work will facilitate studies on development, theoretical analysis for rational design, and bioassay applications of enzyme mimics based on nanomaterials.
KEYWORDS : graphene, enzyme mimic, density functional theory, biosensors, immunoassays
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