Literature DB >> 27234958

Selective adsorption of protein by a high-efficiency Cu(2+) -cooperated magnetic imprinted nanomaterial.

Lu Shi1, Yuhai Tang1,2, Yi Hao1,2, Gaiyan He1,2, Ruixia Gao1, Xiaoshuang Tang3.   

Abstract

We report a core-shell magnetic molecularly imprinted polymer with high affinity through a facile sol-gel method for the selective adsorption of bovine hemoglobin from real bovine blood. Copper ions grafted on the surface of the matrix could immobilize template protein through chelation, which greatly enhances the orderliness of imprinted cavities and affinity of polymers. The obtained products exhibit a desired level of magnetic susceptibility, resulting in the highly efficient adsorption process. The results of adsorption experiments show that the saturation adsorption capacity of imprinted products could reach 116.3 mg/g within 30 min. Meanwhile, the specific binding experiment demonstrates the high selectivity of polymers for bovine hemoglobin. Furthermore, satisfactory reusability is demonstrated by ten adsorption-desorption cycles with no obvious deterioration in binding capacity. Electrophoretic analysis suggests the polymer could be used successfully in separation and enrichment of bovine hemoglobin from the bovine blood sample, which exhibits potential application in pretreatment of proteomics.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Keywords:  Metal coordination; Protein; Surface imprinting

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Year:  2016        PMID: 27234958     DOI: 10.1002/jssc.201600413

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  2 in total

1.  Mono-Sized Anion-Exchange Magnetic Microspheres for Protein Adsorption.

Authors:  Zhe Wang; Wei Wang; Zihui Meng; Min Xue
Journal:  Int J Mol Sci       Date:  2022-04-29       Impact factor: 6.208

2.  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

  2 in total

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