Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
Angew Chem Int Ed Engl. 2023 Mar 27;62(14):e202300867. doi: 10.1002/anie.202300867. Epub 2023 Feb 23.
Mimicking Nature's polymeric protein architectures by designing hosts with binding cavities screened from bulk solvent is a promising approach to achieving anion recognition in competitive media. Accomplishing this, however, can be synthetically demanding. Herein we present a synthetically tractable approach, by directly incorporating potent supramolecular anion-receptive motifs into a polymeric scaffold, tuneable through a judicious selection of the co-monomer. A comprehensive analysis of anion recognition and sensing is demonstrated with redox-active, halogen bonding polymeric hosts. Notably, the polymeric hosts consistently outperform their monomeric analogues, with especially large halide binding enhancements of ca. 50-fold observed in aqueous-organic solvent mixtures. These binding enhancements are rationalised by the generation and presentation of low dielectric constant binding microenvironments from which there is appreciable solvent exclusion.
通过设计从本体溶剂中筛选出结合腔的主体来模拟自然界的聚合蛋白结构,是实现在竞争介质中阴离子识别的一种很有前途的方法。然而,实现这一点在合成上可能具有挑战性。在此,我们提出了一种可合成的方法,通过直接将有效的超分子阴离子接受基元整合到聚合物支架中,并通过明智地选择共聚单体来进行调节。通过氧化还原活性、卤键聚合物主体对阴离子识别和传感进行了全面的分析。值得注意的是,聚合物主体始终优于其单体类似物,在水-有机溶剂混合物中观察到约 50 倍的大卤素结合增强。这些结合增强是通过从其中存在可观溶剂排斥的低介电常数结合微环境的产生和呈现来合理化的。