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Supercritical CO_2-assisted preparation of a PMMA composite membrane for bisphenol A recognition in aqueous environment

机译:超临界CO_2辅助制备水性环境中双酚A识别的PMMA复合膜

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摘要

This work reports a novel strategy to prepare affinity composite membranes using supercritical fluid technology. By blending molecularly imprinted polymeric particles with PMMA, a porous hybrid structure with affinity to the template molecule, bisphenol A, was prepared using a supercritical carbon dioxide (scCO_2)-assisted method. Membranes were characterized in terms of morphology, mechanical performance and transport properties. The ability of the polymers and hybrid membranes to adsorb bisphenol A was tested in aqueous solutions and fitted to a linearized Langmuir equation, showing that adsorption takes place at homogeneous affinity binding sites within the imprinted surface. Filtration experiments showed that the imprinted hybrid membrane was able to adsorb higher amounts of template even in non-equilibrium dynamic binding conditions. The hybridization of the PMMA membrane herein reported conveys two important improvements over neat PMMA membrane: it introduced molecular affinity towards the template molecule and significantly increased the permeability of the porous structures, which are key parameters in processes that involve membranes. This technique could expand the applications of polymeric beads powders and enhance the efficiency of the membrane's transport properties. Our work presents a new method to confer affinity to a porous structure by immobilization of imprinted polymers, combining polymer synthesis and membrane formation using supercritical fluid technology.
机译:这项工作报告了一种使用超临界流体技术制备亲和复合膜的新策略。通过将分子印迹聚合物颗粒与PMMA混合,使用超临界二氧化碳(scCO_2)辅助方法制备了对模板分子双酚A具有亲和力的多孔杂化结构。在形态,机械性能和运输性能方面表征了膜。在水溶液中测试了聚合物和杂化膜吸附双酚A的能力,并拟合了线性Langmuir方程,表明吸附发生在印迹表面的均质亲和力结合位点。过滤实验表明,即使在非平衡动态结合条件下,印迹杂化膜也能够吸附更多量的模板。本文报道的PMMA膜的杂交比纯PMMA膜具有两个重要的改进:它引入了对模板分子的分子亲和力,并显着提高了多孔结构的渗透性,这是涉及膜的过程中的关键参数。该技术可以扩大聚合物珠粒粉末的应用范围,并提高膜传输性能的效率。我们的工作提出了一种通过固定印迹聚合物,结合聚合物合成和使用超临界流体技术形成膜的方法,赋予多孔结构亲和力的新方法。

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