Ferriporphyrin-inspired MOFs as an artificial metalloenzyme for highly sensitive detection of H2O2 and glucose

被引:54
|
作者
Chen, Jiajia [1 ]
Gao, Huajian [1 ]
Li, Zhihao [1 ]
Li, Yingxue [1 ]
Yuan, Quan [1 ]
机构
[1] Wuhan Univ, Coll Chem & Mol Sci, Key Lab Analyt Chem Biol & Med, Minist Educ, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金;
关键词
Metalloenzyme; Metal-organic frameworks; Peroxidase; Catalyze; Stability; METAL-ORGANIC FRAMEWORK; PEROXIDASE-MIMICKING NANOZYME; COLORIMETRIC DETECTION; HYDROGEN-PEROXIDE; HIGH-STABILITY; EFFICIENT; NANOPARTICLES; COMPLEXES; OXYGEN; NANOSHEETS;
D O I
10.1016/j.cclet.2020.03.052
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Metalloenzymes which employ metal species and organic ligands as central active sites play significant roles in various biological activities. Development of artificial metalloenzymes can help to understand the related physiological mechanism and promote the applications of metalloenzymes in biosynthesis, energy conversion and biosensing. In this work, inspired by the active sites of ferriporphyrin-based metalloenzymes, Fe-MOFs by using ferric as the metal center and a porphyrin analog as the organic ligand were developed as an artificial metalloenzyme. The Fe-MOFs exhibit high peroxidase-like catalytic activity with excellent long-term stability. Moreover, highly sensitive biosensors were built to detect H2O2 and glucose based on the Fe-MOFs. Such MOFs-based artificial metalloenzyme offers an efficient strategy for the development of highly stable and efficient metalloenzymes, showing great potential in catalysis, energy transfer, biosensing and medical diagnosis. (C) 2020 Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1398 / 1401
页数:4
相关论文
共 50 条
  • [1] Ferriporphyrin-inspired MOFs as an artificial metalloenzyme for highly sensitive detection of H2O2 and glucose
    Jiajia Chen
    Huajian Gao
    Zhihao Li
    Yingxue Li
    Quan Yuan
    ChineseChemicalLetters, 2020, 31 (06) : 1398 - 1401
  • [2] Edge-plane microwire electrodes for highly sensitive H2O2 and glucose detection
    Qiang, Liangliang
    Vaddiraju, Santhisagar
    Patel, Dipesh
    Papadimitrakopoulos, Fotios
    BIOSENSORS & BIOELECTRONICS, 2011, 26 (09): : 3755 - 3760
  • [3] Au nanocages for highly sensitive and selective detection of H2O2
    Zhang, Yue
    Sun, Yujing
    Liu, Zhelin
    Xu, Fugang
    Cui, Kang
    Shi, Yan
    Wen, Zhiwei
    Li, Zhuang
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2011, 656 (1-2) : 23 - 28
  • [4] Electrospun metal oxide nanofibers for sensitive glucose and H2O2 detection
    Ding, Yu
    Lei, Yu
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2010, 240
  • [5] A biomimetic enzyme modified electrode for H2O2 highly sensitive detection
    Kong, Jinming
    Yu, Xuehua
    Hu, Weiwen
    Hu, Qiong
    Shui, Sailan
    Li, Lianzhi
    Han, Xiaojun
    Xie, Huifang
    Zhang, Xueji
    Wang, Tianhe
    ANALYST, 2015, 140 (22) : 7792 - 7798
  • [6] Investigations of Electrodes Modified with Prussian Blue for Highly Sensitive Detection of H2O2
    Rabbow, Thomas
    Schneider, Michael
    Michaelis, Alexander
    Decker, Manfred
    Vonau, Winfried
    Konat-Stepowicz, Joanna
    Eichler, Ruediger
    TM-TECHNISCHES MESSEN, 2013, 80 (7-8) : 229 - 235
  • [7] Highly sensitive and selective non-enzymatic glucose detection based on indigo carmine/hemin/H2O2 chemiluminescence
    Fereja, Tadesse Haile
    Kitte, Shimeles Addisu
    Zafar, Muhammad Nadeem
    Halawa, Mohamed Ibrahim
    Han, Shuang
    Zhang, Wei
    Xu, Guobao
    ANALYST, 2020, 145 (03) : 1041 - 1046
  • [8] Graphitic Carbon Nitride Nanosheets-Based Ratiometric Fluorescent Probe for Highly Sensitive Detection of H2O2 and Glucose
    Liu, Jin-Wen
    Luo, Ying
    Wang, Yu-Min
    Duan, Lu-Ying
    Jiang, Jian-Hui
    Yu, Ru-Qin
    ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (49) : 33439 - 33445
  • [9] Umbelliferone as a Small Molecular Peroxidase Mimic towards Sensitive Detection of H2O2 and Glucose
    Chaoqun Sun
    Zili Huang
    Li Liu
    Menglu Li
    Huzhi Zheng
    Analytical Sciences, 2018, 34 : 933 - 938
  • [10] Fast and Sensitive Colorimetric Detection of H2O2 and Glucose: A Strategy Based on Polyoxometalate Clusters
    Liu, Sen
    Tian, Jingqi
    Wang, Lei
    Zhang, Yingwei
    Luo, Yonglan
    Li, Haiyan
    Asiri, Abdullah M.
    Al-Youbi, Abdulrahman O.
    Sun, Xuping
    CHEMPLUSCHEM, 2012, 77 (07): : 541 - 544