Literature DB >> 30348369

Preparation and specific recognition of protein macromolecularly imprinted polyampholyte hydrogel.

Xiaoguang Ying1, Xianfang Zhu1, Deshen Li1, Xiao Li2.   

Abstract

Bovine serum albumin (BSA) imprinted polyampholyte hydrogels (PAHs) were prepared by free radical polymerization using acrylamide (Am) as structural monomer, N-isopropylacrylamide (NIPAm), [2-(methacryloyloxy)ethyl]trimethylammonium chloride (DMC) and 2-acrylamido-2-methyl-1-propanesulfonic acid (AMPS) as functional monomers and N,N'-methylenebisacrylamide (MBA) as crosslinker in aqueous solution. The morphology of imprinted hydrogels and non-imprinted hydrogels were characterized by scanning electron microscope (SEM). The adsorption and recognition properties were evaluated as functions of Am monomer concentration, NIPAm/Am molar ratio, crosslinking structure and charge density ratio etc. The adsorption capacity and association constant of specific interaction between hydrogel and template protein were analyzed by Langmuir isotherm model and Freundlich model. The fitting experimental data suggested that this adsorption was better described as a monolayer adsorption. The specific adsorption on hydrogel with different crosslinking structure was investigated by selective binding BSA from single solution and binary mixture solution. The charge density ratio in molecular imprinting hydrogel had obvious influence for protein adsorption and recognition. The resultant of regeneration tests showed that elution had large impact on deterioration of the imprinting structure.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acrylamide; Crosslinking; Hydrogel; Molecular imprinting; Polyampholyte; Protein

Mesh:

Substances:

Year:  2018        PMID: 30348369     DOI: 10.1016/j.talanta.2018.08.084

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


  1 in total

1.  Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

Authors:  Hasan Cubuk; Mehmet Ozbil; Pinar Cakir Hatir
Journal:  Comput Theor Chem       Date:  2021-03-16       Impact factor: 1.926

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.