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首页> 外文期刊>ACS nano >N- and B-Codoped Graphene: A Strong Candidate To Replace Natural Peroxidase in Sensitive and Selective Bioassays
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N- and B-Codoped Graphene: A Strong Candidate To Replace Natural Peroxidase in Sensitive and Selective Bioassays

机译:N-和B-划分的石墨烯:在敏感和选择性生物测定中替换天然过氧化物酶的强候选物

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摘要

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.
机译:该作品描述了一种碳基过氧化物酶模拟,N-和B编码的氧化石墨烯(NB-RGO),其显示出具有氧化酶样活性的高过氧化物酶样活性,并且催化效率比其更高的1000倍近1000倍 未掺杂的rgo。 通过在过氧化物分解反应期间计算Gibbs自由能变化,通过密度官能理论解释Nb-Rgo的高催化活性。 乙酰胆碱和C-反应蛋白质以高灵敏度和选择性成功定量,其与使用天然过氧化物酶获得的相当或更好。 此外,没有氧化酶样活性的Nb-rgo被证明对乙酰胆碱的敏感性高于具有氧化酶样活性的Pt纳米粒子。 这项工作将促进基于纳米材料的酶模拟的理性设计的发展,理论分析和生物测定应用。

著录项

  • 来源
    《ACS nano》 |2019年第4期|共10页
  • 作者单位

    Pohang Univ Sci &

    Technol POSTECH Dept Chem Engn Pohang 37673 Gyeongbuk South Korea;

    Gachon Univ Dept BioNano Technol Seongnam 13120 Gyeonggi South Korea;

    Ulsan Natl Inst Sci &

    Technol UNIST Sch Energy &

    Chem Engn Dept Energy Engn Ulsan 44919 South Korea;

    Korea Adv Inst Sci &

    Technol KAIST Dept Chem &

    Biomol Engn Daejeon 34141 South Korea;

    Ulsan Natl Inst Sci &

    Technol UNIST Sch Energy &

    Chem Engn Dept Energy Engn Ulsan 44919 South Korea;

    Gachon Univ Dept BioNano Technol Seongnam 13120 Gyeonggi South Korea;

    Korea Adv Inst Sci &

    Technol KAIST Dept Chem &

    Biomol Engn Daejeon 34141 South Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子物理学、原子物理学;
  • 关键词

    graphene; enzyme mimic; density functional theory; biosensors; immunoassays;

    机译:石墨烯;酶模拟;密度函数理论;生物传感器;免疫测定;

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