Overcoming the Hydration and Solvation Problem in Ion Recognition and Binding: The Biomimetic Approach

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Pavel Anzenbacher Jr.*, Anjusha Prakash, Sandra M. George, Austin R. Sartori, Mikhail Zamkov and Alexander N. Tarnovsky, 
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引用次数: 0

Abstract

Artificial receptors for cations and anions utilizing noncovalent binding, transport, sequestration, or sensing in aqueous media must address enthalpic factors such as electrostatic attraction, hydrogen bonding, van der Waals forces, and London dispersion forces. The entropic component also significantly contributes to the free energy of association, especially in polar environments like water, where binding may be entropy-driven due to the release of ordered solvent molecules from the solvation sphere, increasing system entropy and resulting in a negative free Gibbs energy. Over the years, chemists have focused on enthalpic criteria, such as size complementarity and functional group interactions, for designing artificial receptors. However, designing for the entropic component, particularly solvation/desolvation, remains challenging and often depends on fortunate circumstances.

As shown by X-ray crystallography, enzymes and proteins can strip solvating water molecules from the ions. Inspired by phosphate-binding enzymes and transporters, we examined polymers comprising amide bonds, such as polyamides and polyurethanes, to mimic protein backbones. These hydrophilic polymers can be engineered to absorb specific amounts of water (10–100% or even more). We aimed to use hydrophilic polymers to remove water molecules from hydrated ions, rendering them “naked” ions, thus enabling better recognition by receptors based on enthalpic factors. To test this, we used copolymers with amide and urethane–amide moieties with different ratios of poly(ethylene oxide) and poly(butylene oxide) to control water uptake between 10% and 100%, along with embedded fluorescent sensors. We found that polymers with 30–50% water uptake showed the highest fluorescence response, while uptake below 20% resulted in small changes in fluorescence and 60–100% led to diminished responses. Low water uptake caused reduced ion co-transport, while high uptake formed large water pools within the polymers, isolating solvated ions from receptors. The optimal water uptake of 30–50% produced (semi)naked ions and a water–organic matrix similar to that of DMSO–water environments. Just like proteins, the structure impacts the recognition and internalization of anions, such as phosphate or sulfate; here too, the monomer composition and synthetic sequence greatly influence material responses to anions, with lipophilic ones eliciting lower responses. The data analysis of fluorescence responses enables the generation of sensor arrays for both cations and anions in water, buffers, saliva, urine, or blood plasma, both qualitative and quantitative analyses, for single analytes or as analyte mixtures. Overall, this biomimetic approach focused on the recovery of the enthalpic factor (by diminishing the impact of solvation and entropy) has proven remarkably successful in creating sensors and adsorbents for charged species in aqueous media and water and is expected to find applications in optical sensors, sensor arrays, ion-selective electrodes, and other analytical methods.

Abstract Image

克服离子识别和结合中的水化和溶剂化问题:仿生方法
利用非共价结合、传输、隔离或在水介质中传感的阳离子和阴离子的人工受体必须解决焓因素,如静电吸引、氢键、范德华力和伦敦色散力。熵分量也对自由缔合能有很大贡献,特别是在像水这样的极性环境中,由于有序溶剂分子从溶剂化球中释放出来,结合可能是熵驱动的,增加了系统熵,导致自由吉布斯能为负。多年来,化学家们一直专注于设计人工受体的焓标准,如尺寸互补性和官能团相互作用。然而,设计熵成分,特别是溶剂化/脱溶,仍然具有挑战性,往往取决于幸运的情况。正如x射线晶体学所显示的,酶和蛋白质可以从离子中剥离溶解水分子。受磷酸盐结合酶和转运体的启发,我们研究了包含酰胺键的聚合物,如聚酰胺和聚氨酯,以模拟蛋白质骨架。这些亲水性聚合物可以被设计成吸收一定量的水(10-100%甚至更多)。我们的目标是使用亲水性聚合物从水合离子中去除水分子,使其成为“裸”离子,从而使基于焓因子的受体更好地识别。为了测试这一点,我们使用了含有不同比例的聚(环氧乙烷)和聚(环氧丁烯)的酰胺和聚氨酯酰胺部分的共聚物,将吸水率控制在10%到100%之间,并使用了嵌入式荧光传感器。我们发现,吸水率为30-50%的聚合物显示出最高的荧光响应,而吸水率低于20%的聚合物荧光变化很小,60-100%的聚合物荧光响应减弱。低吸水性导致离子共输运减少,而高吸水性在聚合物内部形成大水池,将溶剂化离子与受体分离。最佳吸水率为30-50%,产生(半)裸离子和类似于dmso水环境的水-有机基质。就像蛋白质一样,这种结构影响阴离子的识别和内化,如磷酸盐或硫酸盐;在这里,单体组成和合成顺序也极大地影响了材料对阴离子的反应,亲脂性的反应较低。荧光响应的数据分析能够生成传感器阵列,用于水,缓冲液,唾液,尿液或血浆中的阳离子和阴离子,定性和定量分析,用于单一分析物或分析物混合物。总的来说,这种仿生方法专注于恢复焓因子(通过减少溶剂化和熵的影响),已被证明在水介质和水中为带电物质创建传感器和吸附剂方面非常成功,并有望在光学传感器、传感器阵列、离子选择电极和其他分析方法中得到应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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