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곽상규

Kwak, Sang Kyu
Kyu’s MolSim Lab @ UNIST
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N- and B-Codoped Graphene: A Strong Candidate To Replace Natural Peroxidase in Sensitive and Selective Bioassays

Author(s)
Kim, Min SuCho, SeongyeonJoo, Se HunLee, JunsangKwak, Sang KyuKim, Moon IlLee, Jinwoo
Issued Date
2019-04
DOI
10.1021/acsnano.8b09519
URI
https://scholarworks.unist.ac.kr/handle/201301/27469
Fulltext
https://pubs.acs.org/doi/10.1021/acsnano.8b09519
Citation
ACS NANO, v.13, no.4, pp.4312 - 4321
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.
Publisher
AMER CHEMICAL SOC
ISSN
1936-0851
Keyword (Author)
immunoassaysgrapheneenzyme mimicdensity functional theorybiosensors
Keyword
NITROGEN-DOPED GRAPHENEHIGHLY EFFICIENTPLATINUM NANOPARTICLESHORSERADISH-PEROXIDASECATALYTIC-ACTIVITYACETYLCHOLINEOXIDENANOMATERIALSREDUCTIONNANOZYMES

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