N- and B-Codoped Graphene: A Strong Candidate To Replace Natural Peroxidase in Sensitive and Selective Bioassays
- Authors
- Kim, Min Su; Cho, Seongyeon; Joo, Se Hun; Lee, Junsang; Kwak, Sang Kyu; Kim, Moon Il; Lee, Jinwoo
- Issue Date
- Apr-2019
- Publisher
- AMER CHEMICAL SOC
- Keywords
- graphene; enzyme mimic; density functional theory; biosensors; immunoassays
- Citation
- ACS NANO, v.13, no.4, pp.4312 - 4321
- Journal Title
- ACS NANO
- Volume
- 13
- Number
- 4
- Start Page
- 4312
- End Page
- 4321
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1672
- DOI
- 10.1021/acsnano.8b09519
- ISSN
- 1936-0851
- 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.
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