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Formation of porous Cu hydroxy double salts nanoflowers derived from metal-organic frameworks with efficient peroxidase-like activity for label-free detection of glucose

Abstract

Currently, nanomaterials with the activity of the peroxidase have become an important colorimetric tool for biomolecular detection. However, compared with natural enzymes, the efficiency of most nanozymes is still lower. Here, with a leaf like metal-organic-framework-5 as both a precursor and a template and copper acetate as a second precursor, hierarchical Cu hydroxy double salts (HDSs) nanoflowers have been prepared and used as a label-free glucose colorimetric detection platform. We have demonstrated a scalable and facile synthesis of hierarchical Cu HDSs nanoflowers, and Density functional theory (DFT) calculations confirmed that there exist hydrogen bond between the terephthalate anions and layer OH group. Importantly, for the first time, the as-prepared Cu HDSs was demonstrated as peroxidase mimics to catalyze the oxidation of enzyme substrate, 3',5,5'-tetramethylbenzidine (TMB) in the presence of H2O2, which produced a blue colored reaction and followed classic Michaelis–Menten models. Based on these findings, a colorimetric method based on Cu HDSs that is highly sensitive and selective detection glucose detection was developed, with a low detection limit of 0.5 μM. The clinical applicability of the sensor is also proven to be suitable for the sensing glucose in blood, suggesting that Cu HDSs could be used in the construction of portable sensor for point-of-care diagnosis and on-site tests.

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Supplementary files

Publication details

The article was received on 09 Apr 2018, accepted on 12 May 2018 and first published on 18 May 2018


Article type: Paper
DOI: 10.1039/C8NR02832J
Citation: Nanoscale, 2018, Accepted Manuscript
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    Formation of porous Cu hydroxy double salts nanoflowers derived from metal-organic frameworks with efficient peroxidase-like activity for label-free detection of glucose

    A. Li, X. Mu, T. Li, H. Wen, W. Li, Y. Li and B. Wang, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C8NR02832J

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