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首页> 外文期刊>Biomacromolecules >Cationic double-hydrophilic model networks:synthesis,characterization,modeling and protein adsorption studies
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Cationic double-hydrophilic model networks:synthesis,characterization,modeling and protein adsorption studies

机译:阳离子双亲水模型网络:合成,表征,建模和蛋白质吸附研究

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摘要

Group transfer polymerization (GTP) was used for the preparation of eight networks based on two hydrophilic monomers,2-(dimethylamino)ethyl methacrylate (DMAEMA) and poly(ethylene glycol) methacrylate (PEGMA).Ethylene glycol dimethacrylate (EGDMA) served as the cross-linker,whereas 1,4-bis-(methoxytrimethylsiloxymethylene)cyclohexane (MTSMC) was used as a bifunctional initiator.Seven of the networks had linear segments of accurate molecular weight between the cross-links,i.e.,they were model networks,whereas the eighth was an equimolar randomly cross-linked network.Five of the seven model networks were based on ABA triblock copolymers with PEGMA midblocks and DMAEMA endblocks,in which the DMAEMA/PEGMA ratio was varied.The remaining two model networks were equimolar isomers,the one based on BAB triblocks (with a DMAEMA midblock) and the other based on the statistical copolymer.The degrees of swelling of all of the networks were measured as a function of pH and were found to increase below pH 7.The degree of swelling at low pH values increased with the percentage of the DMAEMA monomer,which is ionized under these conditions.These sweling results were confirmed qualitatively by theoretical calculations.Finally,the pH-dependence of the adsorption of the protein pepsin,bovine serum albumin,and lysozyme onto one of the model networks was studied.
机译:基于两种亲水性单体甲基丙烯酸2-(二甲氨基)乙酯(DMAEMA)和聚甲基丙烯酸乙二醇酯(PEGMA),使用基团转移聚合(GTP)制备了八个网络。乙二醇二甲基丙烯酸酯(EGDMA) 1,4-双-(甲氧基三甲基甲硅烷氧基亚甲基)环己烷(MTSMC)被用作双功能引发剂。其中七个网络在交联之间具有精确分子量的线性链段,即它们是模型网络,而七个模型网络中的五个是基于具有PEGMA中嵌段和DMAEMA端嵌段的ABA三嵌段共聚物,其中DMAEMA / PEGMA的比率有所变化。其余两个模型网络是等摩尔异构体,一个基于BAB三嵌段(带有DMAEMA中嵌段),另一个基于统计共聚物。测量所有网络的溶胀度与pH的关系,发现增加bel低pH值7.低pH值下的溶胀度随DMAEMA单体的百分比而增加,在这种条件下被离子化。这些缝结果通过理论计算得到了定性证实。最后,pH依赖于蛋白质的吸附研究了胃蛋白酶,牛血清白蛋白和溶菌酶在一种模型网络中的作用。

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