• 文献标题:   Heme Cofactor-Resembling Fe-N Single Site Embedded Graphene as Nanozymes to Selectively Detect H2O2 with High Sensitivity
  • 文献类型:   Article
  • 作  者:   KIM MS, LEE J, KIM HS, CHO A, SHIM KH, LE TN, AN SSA, HAN JW, KIM MI, LEE J
  • 作者关键词:   cofactorembedded graphene, density functional theory, fen single site, nanozyme, substrate specificity
  • 出版物名称:   ADVANCED FUNCTIONAL MATERIALS
  • ISSN:   1616-301X EI 1616-3028
  • 通讯作者地址:   Pohang Univ Sci Technol POSTECH
  • 被引频次:   27
  • DOI:   10.1002/adfm.201905410 EA NOV 2019
  • 出版年:   2020

▎ 摘  要

Over the past decade, the catalytic activity of nanozymes has been greatly enhanced, but their selectivity is still low and considered a critical issue to overcome. Herein, Fe-N-4 single site embedded graphene (Fe-N-rGO), which resembles the heme cofactor present in natural horseradish peroxidase, shows a marked enhancement in peroxidase-like catalytic efficiency of up to approximate to 700-fold higher than that of undoped rGO as well as excellent selectivity toward target H2O2 without any oxidizing activity. Importantly, when Fe or N is doped alone or when Fe is replaced with another transition metal in the Fe-N-4 site, the activity is negligibly enhanced, showing that mimicking the essential cofactor structure of natural enzyme might be essential to design the catalytic features of nanozymes. Density functional theory results for the change in Gibbs free energy during the peroxide decomposition reaction explain the high catalytic activity of Fe-N-rGO. Based on the high and selective peroxidase-like activity of Fe-N-rGO, trace amounts of H2O2 produced from the enzymatic reactions from acetylcholine and cancerous cells are successfully quantified with high sensitivity and selectivity. This work is expected to encourage studies on the rational design of nanozymes pursuing the active site structure of natural enzymes.