Literature DB >> 34590661

Keratin-inorganic hybrid nanoflowers decorated with Fe3O4 nanoparticles as enzyme mimics for colorimetric detection of glucose.

Peiyu Li1, Jing Zheng1, Jingli Xu1, Min Zhang1.   

Abstract

Fe3O4 magnetic nanoparticles (MNPs) are highly active enzyme-like catalysts. However, low stability is still a big challenge for Fe3O4-based enzyme mimics because the Fe3O4 MNPs can be easily dissolved when exposed to acidic conditions. Inspired by the numerous catalytic sites of a flower-like structure and the biological functions of amino acids in structural proteins, herein, by employing keratin as a protein component, stable Fe3O4-based MNP embedded keratin-Cu3(PO4)2 nanoflowers were constructed, from which hierarchical nanostructures with a three-dimensional petal-like morphology were selected for subsequent studies owing to their excellent enzymic catalytic activity. The keratin-nanoflower@Fe3O4 exhibited significantly enhanced catalytic activity compared with that of keratin-Cu3(PO4)2 nanoflowers and individual Fe3O4 MNPs. Remarkably, keratin-nanoflower@Fe3O4 exhibited superior long-term stability to Fe3O4 MNPs under more acidic conditions and favorable reusability. This method has been successfully exploited for the colorimetric determination of glucose in human serum with satisfactory sensitivity and specificity, offering a novel approach for glucose detection.

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Year:  2021        PMID: 34590661     DOI: 10.1039/d1dt02301b

Source DB:  PubMed          Journal:  Dalton Trans        ISSN: 1477-9226            Impact factor:   4.390


  2 in total

1.  Colorimetric sensing of glucose and GSH using core-shell Cu/Au nanoparticles with peroxidase mimicking activity.

Authors:  Ruimeng Sun; Ruijuan Lv; Yang Zhang; Ting Du; Yuhan Li; Lixia Chen; Yanfei Qi
Journal:  RSC Adv       Date:  2022-08-09       Impact factor: 4.036

2.  Trypsin/Zn3(PO4)2 Hybrid Nanoflowers: Controlled Synthesis and Excellent Performance as an Immobilized Enzyme.

Authors:  Zichao Wang; Pei Liu; Ziyi Fang; He Jiang
Journal:  Int J Mol Sci       Date:  2022-10-06       Impact factor: 6.208

  2 in total

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