Literature DB >> 26838380

Preparation of Cu(2+)-mediated magnetic imprinted polymers for the selective sorption of bovine hemoglobin.

Ruixia Gao1, Xihui Cui2, Yi Hao2, Gaiyan He2, Min Zhang3, Yuhai Tang4.   

Abstract

In this work, a novel Cu(2+)-mediated core-shell bovine hemoglobin imprinted superparamagnetic polymers were synthesized. First, carboxyl group directly-functionalized Fe3O4 nanoparticles were produced by a facile one-pot hydrothermal method. Next, copper ions were introduced to chelate with carboxyl groups and further bonded with template bovine hemoglobin as co-functional monomer. Then, functional monomers 3-aminopropyltriethoxylsilane and octyltrimethoxysilane were adopted to form the thin polymer layers. Finally, after removal of the templates, the imprinting shells with specific recognition cavities for bovine hemoglobin were obtained on Fe3O4 nanoparticles. The resultant molecularly imprinted polymers have high adsorption capacity and satisfactory selectivity for bovine hemoglobin with the help of copper ions. The obtained magnetic nanomaterials were characterized by transmission electron microscopy, Fourier-transform infrared spectra, X-ray diffraction, and vibrating sample magnetometer. The measurements demonstrated that the as-synthesized nanomaterials exhibited good dispersion, high crystallinity, and satisfactory superparamagnetic properties. The feasibility of this method was further confirmed by using the imprinted nanomaterials to specifically extract bovine hemoglobin from real bovine blood samples.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Copper ions; Magnetic separation; Molecularly imprinted polymers

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Year:  2015        PMID: 26838380     DOI: 10.1016/j.talanta.2015.12.017

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  A study on the preparation and application of a core-shell surface imprinted uranyl magnetic chelating adsorbent.

Authors:  Gui-Rong Li; Meng-Yuan Xu; Jie-Kang Li; Yang Yang
Journal:  RSC Adv       Date:  2018-11-16       Impact factor: 4.036

  1 in total

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